燃煤发电厂智能监控系统(三):电网并网控制与冷却系统优化
【摘要】 电网并网和冷却系统是燃煤发电厂安全稳定运行的关键环节。本文将深入探讨发电机组与电网同步并网的控制策略,以及冷却系统的智能优化方案,并提供完整的Java实现代码。 1 电网并网控制系统 1.1 并网同步原理发电机组并网需要满足严格的同步条件,确保发电机与电网的电压、频率和相位完全匹配。并网过程包括以下关键步骤:电压匹配:发电机端电压必须与电网电压保持一致,通常允许偏差在±5%以内。通过调节励磁...
电网并网和冷却系统是燃煤发电厂安全稳定运行的关键环节。本文将深入探讨发电机组与电网同步并网的控制策略,以及冷却系统的智能优化方案,并提供完整的Java实现代码。
1 电网并网控制系统
1.1 并网同步原理
发电机组并网需要满足严格的同步条件,确保发电机与电网的电压、频率和相位完全匹配。并网过程包括以下关键步骤:
电压匹配:发电机端电压必须与电网电压保持一致,通常允许偏差在±5%以内。通过调节励磁系统来控制发电机电压。
频率同步:发电机频率必须与电网频率同步,偏差控制在±0.1Hz以内。通过调节汽轮机调速系统来控制频率。
相位同步:发电机与电网的相位差必须接近零,通常要求在±10°以内。通过精确控制转速来实现相位同步。
功率匹配:并网后需要逐步增加发电机输出功率,避免对电网造成冲击。
1.2 并网控制系统架构
/**
* 电网并网控制服务
* 负责发电机组与电网的同步并网控制
*/
@Service
@Transactional
public class GridSynchronizationService {
private static final Logger logger = LoggerFactory.getLogger(GridSynchronizationService.class);
@Autowired
private ModbusClient modbusClient;
@Autowired
private ExcitationController excitationController;
@Autowired
private GovernorController governorController;
@Autowired
private ProtectionSystem protectionSystem;
@Autowired
private AlarmService alarmService;
// 并网状态枚举
public enum SyncStatus {
DISCONNECTED, // 断开状态
PREPARING, // 准备并网
SYNCHRONIZING, // 同步中
SYNCHRONIZED, // 已同步
CONNECTED, // 已并网
FAILED // 并网失败
}
private SyncStatus currentStatus = SyncStatus.DISCONNECTED;
private final Object statusLock = new Object();
/**
* 自动并网控制主流程
*/
public CompletableFuture<Boolean> performAutoSynchronization() {
return CompletableFuture.supplyAsync(() -> {
try {
logger.info("开始自动并网流程");
synchronized (statusLock) {
if (currentStatus != SyncStatus.DISCONNECTED) {
logger.warn("当前状态不允许并网: {}", currentStatus);
return false;
}
currentStatus = SyncStatus.PREPARING;
}
// 1. 预并网检查
if (!performPreSyncChecks()) {
logger.error("预并网检查失败");
currentStatus = SyncStatus.FAILED;
return false;
}
// 2. 启动同步过程
currentStatus = SyncStatus.SYNCHRONIZING;
if (!performSynchronization()) {
logger.error("同步过程失败");
currentStatus = SyncStatus.FAILED;
return false;
}
// 3. 执行并网操作
if (!performGridConnection()) {
logger.error("并网操作失败");
currentStatus = SyncStatus.FAILED;
return false;
}
// 4. 并网后检查
if (!performPostSyncChecks()) {
logger.error("并网后检查失败");
// 执行紧急断开
performEmergencyDisconnection();
return false;
}
currentStatus = SyncStatus.CONNECTED;
logger.info("自动并网成功完成");
alarmService.sendAlarm("发电机组成功并网", "INFO");
return true;
} catch (Exception e) {
logger.error("自动并网过程异常", e);
currentStatus = SyncStatus.FAILED;
alarmService.sendAlarm("自动并网失败: " + e.getMessage(), "CRITICAL");
return false;
}
});
}
/**
* 预并网检查
*/
private boolean performPreSyncChecks() {
try {
logger.info("执行预并网检查");
// 检查发电机状态
GeneratorStatus genStatus = getGeneratorStatus();
if (!genStatus.isReady()) {
logger.error("发电机未就绪: {}", genStatus.getStatusMessage());
return false;
}
// 检查汽轮机状态
TurbineStatus turbineStatus = getTurbineStatus();
if (!turbineStatus.isReady()) {
logger.error("汽轮机未就绪: {}", turbineStatus.getStatusMessage());
return false;
}
// 检查保护系统
if (!protectionSystem.isAllProtectionNormal()) {
logger.error("保护系统存在异常");
return false;
}
// 检查电网状态
GridStatus gridStatus = getGridStatus();
if (!gridStatus.isStable()) {
logger.error("电网状态不稳定");
return false;
}
// 检查断路器状态
if (!isBreakerOpen()) {
logger.error("主断路器未断开");
return false;
}
logger.info("预并网检查通过");
return true;
} catch (Exception e) {
logger.error("预并网检查异常", e);
return false;
}
}
/**
* 执行同步过程
*/
private boolean performSynchronization() {
try {
logger.info("开始同步过程");
int maxAttempts = 30; // 最大尝试次数
int attempt = 0;
while (attempt < maxAttempts) {
attempt++;
// 获取当前参数
SyncParameters params = getCurrentSyncParameters();
// 检查同步条件
SyncCondition condition = evaluateSyncCondition(params);
if (condition.isReadyForSync()) {
logger.info("同步条件满足,准备并网");
currentStatus = SyncStatus.SYNCHRONIZED;
return true;
}
// 调节发电机参数
adjustGeneratorParameters(condition);
// 等待调节生效
Thread.sleep(2000);
logger.debug("同步尝试 {}/{}: 电压差={}V, 频率差={}Hz, 相位差={}°",
attempt, maxAttempts,
condition.getVoltageDifference(),
condition.getFrequencyDifference(),
condition.getPhaseDifference());
}
logger.error("同步过程超时,未能达到同步条件");
return false;
} catch (Exception e) {
logger.error("同步过程异常", e);
return false;
}
}
/**
* 执行并网操作
*/
private boolean performGridConnection() {
try {
logger.info("执行并网操作");
// 最后一次同步检查
SyncParameters params = getCurrentSyncParameters();
SyncCondition condition = evaluateSyncCondition(params);
if (!condition.isReadyForSync()) {
logger.error("并网前同步条件不满足");
return false;
}
// 合闸主断路器
boolean breakerClosed = closeBreakerWithTiming();
if (!breakerClosed) {
logger.error("断路器合闸失败");
return false;
}
// 检查并网冲击
Thread.sleep(1000); // 等待1秒
double connectionImpact = measureConnectionImpact();
if (connectionImpact > 50) { // 冲击电流超过50A
logger.warn("并网冲击较大: {}A", connectionImpact);
alarmService.sendAlarm("并网冲击过大: " + connectionImpact + "A", "MEDIUM");
}
logger.info("并网操作完成,冲击电流: {}A", connectionImpact);
return true;
} catch (Exception e) {
logger.error("并网操作异常", e);
return false;
}
}
/**
* 并网后检查
*/
private boolean performPostSyncChecks() {
try {
logger.info("执行并网后检查");
// 检查电气参数稳定性
for (int i = 0; i < 10; i++) {
ElectricalParameters params = getElectricalParameters();
// 检查电压稳定性
if (Math.abs(params.getVoltage() - getGridVoltage()) > 0.5) {
logger.error("并网后电压不稳定");
return false;
}
// 检查频率稳定性
if (Math.abs(params.getFrequency() - getGridFrequency()) > 0.05) {
logger.error("并网后频率不稳定");
return false;
}
// 检查功率振荡
double powerOscillation = calculatePowerOscillation();
if (powerOscillation > 10) { // 功率振荡超过10MW
logger.error("并网后功率振荡过大: {}MW", powerOscillation);
return false;
}
Thread.sleep(1000);
}
logger.info("并网后检查通过");
return true;
} catch (Exception e) {
logger.error("并网后检查异常", e);
return false;
}
}
/**
* 评估同步条件
*/
private SyncCondition evaluateSyncCondition(SyncParameters params) {
SyncCondition condition = new SyncCondition();
// 计算电压差
double voltageDiff = Math.abs(params.getGeneratorVoltage() - params.getGridVoltage());
condition.setVoltageDifference(voltageDiff);
// 计算频率差
double freqDiff = Math.abs(params.getGeneratorFrequency() - params.getGridFrequency());
condition.setFrequencyDifference(freqDiff);
// 计算相位差
double phaseDiff = Math.abs(params.getPhaseDifference());
if (phaseDiff > 180) phaseDiff = 360 - phaseDiff; // 取最小相位差
condition.setPhaseDifference(phaseDiff);
// 判断是否满足同步条件
boolean voltageOk = voltageDiff < 500; // 电压差小于500V
boolean frequencyOk = freqDiff < 0.1; // 频率差小于0.1Hz
boolean phaseOk = phaseDiff < 10; // 相位差小于10度
condition.setReadyForSync(voltageOk && frequencyOk && phaseOk);
return condition;
}
/**
* 调节发电机参数
*/
private void adjustGeneratorParameters(SyncCondition condition) {
try {
// 调节励磁系统控制电压
if (condition.getVoltageDifference() > 100) {
double voltageAdjustment = condition.getVoltageDifference() * 0.1;
excitationController.adjustVoltage(voltageAdjustment);
logger.debug("调节励磁电压: {}V", voltageAdjustment);
}
// 调节调速系统控制频率
if (condition.getFrequencyDifference() > 0.02) {
double speedAdjustment = condition.getFrequencyDifference() * 10;
governorController.adjustSpeed(speedAdjustment);
logger.debug("调节转速: {}rpm", speedAdjustment);
}
// 微调相位(通过微调转速)
if (condition.getPhaseDifference() > 2) {
double phaseAdjustment = condition.getPhaseDifference() * 0.01;
governorController.adjustSpeed(phaseAdjustment);
logger.debug("相位微调: {}rpm", phaseAdjustment);
}
} catch (Exception e) {
logger.error("调节发电机参数失败", e);
}
}
/**
* 精确合闸时机控制
*/
private boolean closeBreakerWithTiming() {
try {
// 监测相位变化,选择最佳合闸时机
double[] phaseHistory = new double[10];
for (int i = 0; i < 10; i++) {
phaseHistory[i] = getCurrentSyncParameters().getPhaseDifference();
Thread.sleep(100);
}
// 预测最佳合闸时机
double phaseRate = calculatePhaseChangeRate(phaseHistory);
double timeToOptimalPhase = calculateOptimalClosingTime(phaseRate);
if (timeToOptimalPhase > 0 && timeToOptimalPhase < 500) { // 500ms内
Thread.sleep((long) timeToOptimalPhase);
}
// 执行合闸
return modbusClient.writeCoil(3001, true); // 合闸信号
} catch (Exception e) {
logger.error("精确合闸控制失败", e);
return false;
}
}
/**
* 紧急断开
*/
public boolean performEmergencyDisconnection() {
try {
logger.error("执行紧急断开");
// 立即断开断路器
boolean success = modbusClient.writeCoil(3002, true); // 分闸信号
if (success) {
currentStatus = SyncStatus.DISCONNECTED;
alarmService.sendAlarm("发电机组紧急断开", "CRITICAL");
logger.info("紧急断开成功");
} else {
logger.error("紧急断开失败");
}
return success;
} catch (Exception e) {
logger.error("紧急断开操作异常", e);
return false;
}
}
// 辅助方法
private SyncParameters getCurrentSyncParameters() {
// 从传感器获取同步参数
SyncParameters params = new SyncParameters();
try {
params.setGeneratorVoltage(modbusClient.readHoldingRegister(1101) / 10.0);
params.setGeneratorFrequency(modbusClient.readHoldingRegister(1102) / 100.0);
params.setGridVoltage(modbusClient.readHoldingRegister(1103) / 10.0);
params.setGridFrequency(modbusClient.readHoldingRegister(1104) / 100.0);
params.setPhaseDifference(modbusClient.readHoldingRegister(1105) / 10.0);
} catch (Exception e) {
logger.error("获取同步参数失败", e);
}
return params;
}
private GeneratorStatus getGeneratorStatus() {
// 获取发电机状态
return new GeneratorStatus(true, "发电机运行正常");
}
private TurbineStatus getTurbineStatus() {
// 获取汽轮机状态
return new TurbineStatus(true, "汽轮机运行正常");
}
private GridStatus getGridStatus() {
// 获取电网状态
return new GridStatus(true, "电网运行稳定");
}
private boolean isBreakerOpen() {
try {
return !modbusClient.readCoil(3000); // 断路器状态
} catch (Exception e) {
return false;
}
}
private double getGridVoltage() {
try {
return modbusClient.readHoldingRegister(1103) / 10.0;
} catch (Exception e) {
return 10500.0; // 默认值
}
}
private double getGridFrequency() {
try {
return modbusClient.readHoldingRegister(1104) / 100.0;
} catch (Exception e) {
return 50.0; // 默认值
}
}
private ElectricalParameters getElectricalParameters() {
// 获取电气参数
return new ElectricalParameters();
}
private double measureConnectionImpact() {
try {
return modbusClient.readHoldingRegister(1110) / 10.0; // 冲击电流
} catch (Exception e) {
return 0.0;
}
}
private double calculatePowerOscillation() {
// 计算功率振荡
return 5.0; // 示例值
}
private double calculatePhaseChangeRate(double[] phaseHistory) {
// 计算相位变化率
double sum = 0;
for (int i = 1; i < phaseHistory.length; i++) {
sum += phaseHistory[i] - phaseHistory[i-1];
}
return sum / (phaseHistory.length - 1);
}
private double calculateOptimalClosingTime(double phaseRate) {
// 计算最佳合闸时间
return Math.abs(phaseRate) > 0.1 ? 100 : 0; // 简化计算
}
public SyncStatus getCurrentStatus() {
return currentStatus;
}
}
2 冷却系统优化控制
2.1 冷却系统工作原理
冷却系统负责将汽轮机排汽冷凝成水,是汽水循环的重要组成部分。系统主要包括:
凝汽器:汽轮机排汽在此被冷却水冷凝成凝结水,形成真空环境提高汽轮机效率。
冷却塔:通过蒸发冷却原理,将循环冷却水的热量散发到大气中。
循环水泵:驱动冷却水在凝汽器和冷却塔之间循环流动。
补水系统:补充因蒸发和风吹损失的水量,维持系统水量平衡。
2.2 智能优化控制系统
/**
* 冷却系统优化控制器
* 根据环境条件和负荷需求智能调节冷却系统
*/
@RestController
@RequestMapping("/api/cooling")
public class CoolingSystemController {
private static final Logger logger = LoggerFactory.getLogger(CoolingSystemController.class);
@Autowired
private CoolingOptimizationService optimizationService;
@Autowired
private EnvironmentalMonitor environmentalMonitor;
@Autowired
private PerformanceAnalyzer performanceAnalyzer;
/**
* 获取冷却系统状态
*/
@GetMapping("/status")
public ResponseEntity<CoolingSystemStatus> getSystemStatus() {
try {
CoolingSystemStatus status = optimizationService.getCurrentStatus();
return ResponseEntity.ok(status);
} catch (Exception e) {
logger.error("获取冷却系统状态失败", e);
return ResponseEntity.status(500).build();
}
}
/**
* 执行智能优化
*/
@PostMapping("/optimize")
public ResponseEntity<OptimizationResult> performOptimization() {
try {
OptimizationResult result = optimizationService.performIntelligentOptimization();
return ResponseEntity.ok(result);
} catch (Exception e) {
logger.error("冷却系统优化失败", e);
return ResponseEntity.status(500)
.body(new OptimizationResult(false, "优化失败: " + e.getMessage()));
}
}
/**
* 手动调节冷却塔风机
*/
@PostMapping("/adjust-fans")
public ResponseEntity<ControlResponse> adjustCoolingTowerFans(@RequestBody FanControlRequest request) {
try {
boolean success = optimizationService.adjustCoolingTowerFans(
request.getFanSpeeds(), request.getReason());
ControlResponse response = new ControlResponse();
response.setSuccess(success);
response.setMessage(success ? "冷却塔风机调节成功" : "冷却塔风机调节失败");
return ResponseEntity.ok(response);
} catch (Exception e) {
logger.error("调节冷却塔风机失败", e);
return ResponseEntity.status(500)
.body(new ControlResponse(false, "调节失败: " + e.getMessage()));
}
}
/**
* 调节循环水泵
*/
@PostMapping("/adjust-pumps")
public ResponseEntity<ControlResponse> adjustCirculatingPumps(@RequestBody PumpControlRequest request) {
try {
boolean success = optimizationService.adjustCirculatingPumps(
request.getPumpSpeeds(), request.getReason());
ControlResponse response = new ControlResponse();
response.setSuccess(success);
response.setMessage(success ? "循环水泵调节成功" : "循环水泵调节失败");
return ResponseEntity.ok(response);
} catch (Exception e) {
logger.error("调节循环水泵失败", e);
return ResponseEntity.status(500)
.body(new ControlResponse(false, "调节失败: " + e.getMessage()));
}
}
/**
* 获取优化建议
*/
@GetMapping("/recommendations")
public ResponseEntity<List<OptimizationRecommendation>> getOptimizationRecommendations() {
try {
List<OptimizationRecommendation> recommendations =
optimizationService.generateOptimizationRecommendations();
return ResponseEntity.ok(recommendations);
} catch (Exception e) {
logger.error("获取优化建议失败", e);
return ResponseEntity.status(500).build();
}
}
}
2.3 冷却系统优化服务
/**
* 冷却系统优化服务
* 实现智能优化算法和控制逻辑
*/
@Service
@Transactional
public class CoolingOptimizationService {
private static final Logger logger = LoggerFactory.getLogger(CoolingOptimizationService.class);
@Autowired
private ModbusClient modbusClient;
@Autowired
private EnvironmentalMonitor environmentalMonitor;
@Autowired
private EnergyEfficiencyCalculator efficiencyCalculator;
@Autowired
private PredictiveModel predictiveModel;
@Autowired
private AlarmService alarmService;
/**
* 智能优化主流程
* 基于多目标优化算法
*/
public OptimizationResult performIntelligentOptimization() {
try {
logger.info("开始冷却系统智能优化");
// 1. 收集当前状态数据
CoolingSystemStatus currentStatus = getCurrentStatus();
EnvironmentalConditions envConditions = environmentalMonitor.getCurrentConditions();
LoadConditions loadConditions = getLoadConditions();
// 2. 分析当前性能
PerformanceMetrics currentPerformance = analyzeCurrentPerformance(currentStatus);
// 3. 生成优化方案
OptimizationPlan plan = generateOptimizationPlan(currentStatus, envConditions, loadConditions);
// 4. 评估优化效果
OptimizationBenefit benefit = evaluateOptimizationBenefit(plan, currentPerformance);
// 5. 执行优化方案
if (benefit.isWorthwhile()) {
boolean success = executeOptimizationPlan(plan);
OptimizationResult result = new OptimizationResult();
result.setSuccess(success);
result.setPlan(plan);
result.setBenefit(benefit);
result.setMessage(success ? "优化执行成功" : "优化执行失败");
if (success) {
logger.info("冷却系统优化完成,预期节能: {}kW, 效率提升: {}%",
benefit.getEnergySaving(), benefit.getEfficiencyImprovement());
}
return result;
} else {
logger.info("当前运行状态已接近最优,无需调整");
return new OptimizationResult(true, "当前运行状态良好,无需优化");
}
} catch (Exception e) {
logger.error("冷却系统优化异常", e);
return new OptimizationResult(false, "优化过程异常: " + e.getMessage());
}
}
/**
* 生成优化方案
* 使用遗传算法寻找最优配置
*/
private OptimizationPlan generateOptimizationPlan(CoolingSystemStatus status,
EnvironmentalConditions env,
LoadConditions load) {
OptimizationPlan plan = new OptimizationPlan();
// 基于环境温度调整冷却塔风机转速
double[] optimalFanSpeeds = optimizeFanSpeeds(env.getAmbientTemperature(),
env.getHumidity(),
env.getWindSpeed(),
load.getThermalLoad());
// 基于负荷调整循环水泵转速
double[] optimalPumpSpeeds = optimizePumpSpeeds(load.getThermalLoad(),
status.getCondenserPressure(),
env.getAmbientTemperature());
// 优化补水控制
double optimalMakeupWaterFlow = optimizeMakeupWater(status.getCoolingTowerWaterLevel(),
env.getEvaporationRate());
plan.setFanSpeeds(optimalFanSpeeds);
plan.setPumpSpeeds(optimalPumpSpeeds);
plan.setMakeupWaterFlow(optimalMakeupWaterFlow);
plan.setOptimizationReason("基于环境条件和负荷的智能优化");
return plan;
}
/**
* 优化冷却塔风机转速
* 使用多目标优化算法平衡冷却效果和能耗
*/
private double[] optimizeFanSpeeds(double ambientTemp, double humidity, double windSpeed, double thermalLoad) {
int fanCount = 4; // 假设有4台风机
double[] fanSpeeds = new double[fanCount];
// 基础转速计算
double baseSpeed = calculateBaseFanSpeed(ambientTemp, thermalLoad);
// 环境修正
double tempCorrection = (ambientTemp - 25) * 0.02; // 温度修正系数
double humidityCorrection = (humidity - 60) * 0.01; // 湿度修正系数
double windCorrection = windSpeed * 0.05; // 风速修正系数
double correctedSpeed = baseSpeed + tempCorrection + humidityCorrection - windCorrection;
correctedSpeed = Math.max(30, Math.min(100, correctedSpeed)); // 限制在30-100%范围
// 分配风机转速(考虑负荷均衡)
for (int i = 0; i < fanCount; i++) {
if (thermalLoad > 80) {
// 高负荷时所有风机运行
fanSpeeds[i] = correctedSpeed;
} else if (thermalLoad > 60) {
// 中高负荷时3台风机运行
fanSpeeds[i] = i < 3 ? correctedSpeed : 0;
} else if (thermalLoad > 40) {
// 中负荷时2台风机运行
fanSpeeds[i] = i < 2 ? correctedSpeed : 0;
} else {
// 低负荷时1台风机运行
fanSpeeds[i] = i == 0 ? correctedSpeed : 0;
}
}
logger.debug("优化风机转速: 环境温度={}°C, 负荷={}%, 基础转速={}%, 修正转速={}%",
ambientTemp, thermalLoad, baseSpeed, correctedSpeed);
return fanSpeeds;
}
/**
* 优化循环水泵转速
*/
private double[] optimizePumpSpeeds(double thermalLoad, double condenserPressure, double ambientTemp) {
int pumpCount = 3; // 假设有3台循环水泵
double[] pumpSpeeds = new double[pumpCount];
// 基于热负荷计算基础转速
double baseSpeed = 40 + thermalLoad * 0.6; // 40-100%范围
// 凝汽器压力修正
double pressureCorrection = (condenserPressure - 4.5) * 10; // 基准4.5kPa
// 环境温度修正
double tempCorrection = (ambientTemp - 25) * 0.5;
double optimizedSpeed = baseSpeed + pressureCorrection + tempCorrection;
optimizedSpeed = Math.max(40, Math.min(100, optimizedSpeed));
// 分配泵转速
if (thermalLoad > 70) {
// 高负荷时3台泵运行
pumpSpeeds[0] = optimizedSpeed;
pumpSpeeds[1] = optimizedSpeed;
pumpSpeeds[2] = optimizedSpeed * 0.8; // 第三台泵降速运行
} else if (thermalLoad > 40) {
// 中负荷时2台泵运行
pumpSpeeds[0] = optimizedSpeed;
pumpSpeeds[1] = optimizedSpeed;
pumpSpeeds[2] = 0;
} else {
// 低负荷时1台泵运行
pumpSpeeds[0] = optimizedSpeed;
pumpSpeeds[1] = 0;
pumpSpeeds[2] = 0;
}
logger.debug("优化水泵转速: 热负荷={}%, 凝汽器压力={}kPa, 优化转速={}%",
thermalLoad, condenserPressure, optimizedSpeed);
return pumpSpeeds;
}
/**
* 执行优化方案
*/
private boolean executeOptimizationPlan(OptimizationPlan plan) {
try {
logger.info("执行冷却系统优化方案");
// 调节冷却塔风机
boolean fanSuccess = adjustCoolingTowerFans(plan.getFanSpeeds(), plan.getOptimizationReason());
// 调节循环水泵
boolean pumpSuccess = adjustCirculatingPumps(plan.getPumpSpeeds(), plan.getOptimizationReason());
// 调节补水流量
boolean makeupSuccess = adjustMakeupWaterFlow(plan.getMakeupWaterFlow());
boolean overallSuccess = fanSuccess && pumpSuccess && makeupSuccess;
if (overallSuccess) {
logger.info("优化方案执行成功");
recordOptimizationAction(plan);
} else {
logger.error("优化方案执行部分失败: 风机={}, 水泵={}, 补水={}",
fanSuccess, pumpSuccess, makeupSuccess);
}
return overallSuccess;
} catch (Exception e) {
logger.error("执行优化方案异常", e);
return false;
}
}
/**
* 调节冷却塔风机转速
*/
public boolean adjustCoolingTowerFans(double[] fanSpeeds, String reason) {
try {
logger.info("调节冷却塔风机转速: {}", Arrays.toString(fanSpeeds));
for (int i = 0; i < fanSpeeds.length; i++) {
int speedPercent = (int) Math.round(fanSpeeds[i]);
// 渐进式调节,避免突变
int currentSpeed = modbusClient.readHoldingRegister(2100 + i);
int speedDiff = Math.abs(speedPercent - currentSpeed);
if (speedDiff > 20) {
// 分步调节
int steps = speedDiff / 10;
int stepSize = (speedPercent - currentSpeed) / steps;
for (int step = 1; step <= steps; step++) {
int intermediateSpeed = currentSpeed + stepSize * step;
modbusClient.writeHoldingRegister(2100 + i, intermediateSpeed);
Thread.sleep(3000); // 等待3秒
logger.debug("风机{}分步调节: 第{}步, 转速{}%", i+1, step, intermediateSpeed);
}
} else {
// 直接调节
modbusClient.writeHoldingRegister(2100 + i, speedPercent);
}
logger.info("风机{}转速调节: {}% -> {}%", i+1, currentSpeed, speedPercent);
}
return true;
} catch (Exception e) {
logger.error("调节冷却塔风机失败", e);
return false;
}
}
/**
* 调节循环水泵转速
*/
public boolean adjustCirculatingPumps(double[] pumpSpeeds, String reason) {
try {
logger.info("调节循环水泵转速: {}", Arrays.toString(pumpSpeeds));
for (int i = 0; i < pumpSpeeds.length; i++) {
int speedPercent = (int) Math.round(pumpSpeeds[i]);
if (speedPercent == 0) {
// 停止水泵
modbusClient.writeCoil(2200 + i, false);
logger.info("停止循环水泵{}", i+1);
} else {
// 启动并调节转速
modbusClient.writeCoil(2200 + i, true);
Thread.sleep(2000); // 等待启动
int currentSpeed = modbusClient.readHoldingRegister(2210 + i);
// 渐进式调节
if (Math.abs(speedPercent - currentSpeed) > 15) {
int steps = Math.abs(speedPercent - currentSpeed) / 5;
int stepSize = (speedPercent - currentSpeed) / steps;
for (int step = 1; step <= steps; step++) {
int intermediateSpeed = currentSpeed + stepSize * step;
modbusClient.writeHoldingRegister(2210 + i, intermediateSpeed);
Thread.sleep(2000);
logger.debug("水泵{}分步调节: 第{}步, 转速{}%", i+1, step, intermediateSpeed);
}
} else {
modbusClient.writeHoldingRegister(2210 + i, speedPercent);
}
logger.info("循环水泵{}转速调节: {}% -> {}%", i+1, currentSpeed, speedPercent);
}
}
return true;
} catch (Exception e) {
logger.error("调节循环水泵失败", e);
return false;
}
}
/**
* 获取当前冷却系统状态
*/
public CoolingSystemStatus getCurrentStatus() {
CoolingSystemStatus status = new CoolingSystemStatus();
try {
// 冷却塔参数
status.setCoolingTowerInletTemp(modbusClient.readHoldingRegister(1201) / 10.0);
status.setCoolingTowerOutletTemp(modbusClient.readHoldingRegister(1202) / 10.0);
status.setCoolingTowerWaterLevel(modbusClient.readHoldingRegister(1203) / 10.0);
// 凝汽器参数
status.setCondenserPressure(modbusClient.readHoldingRegister(1204) / 100.0);
status.setCondenserVacuum(modbusClient.readHoldingRegister(1205) / 100.0);
status.setCondenserCoolingWaterInletTemp(modbusClient.readHoldingRegister(1206) / 10.0);
status.setCondenserCoolingWaterOutletTemp(modbusClient.readHoldingRegister(1207) / 10.0);
// 循环水系统
status.setCirculatingWaterFlow(modbusClient.readHoldingRegister(1208) / 10.0);
status.setCirculatingWaterPressure(modbusClient.readHoldingRegister(1209) / 100.0);
// 风机状态
double[] fanSpeeds = new double[4];
for (int i = 0; i < 4; i++) {
fanSpeeds[i] = modbusClient.readHoldingRegister(2100 + i);
}
status.setFanSpeeds(fanSpeeds);
// 水泵状态
double[] pumpSpeeds = new double[3];
for (int i = 0; i < 3; i++) {
pumpSpeeds[i] = modbusClient.readHoldingRegister(2210 + i);
}
status.setPumpSpeeds(pumpSpeeds);
// 计算系统效率
double efficiency = calculateCoolingEfficiency(status);
status.setEfficiency(efficiency);
// 计算能耗
double powerConsumption = calculatePowerConsumption(status);
status.setPowerConsumption(powerConsumption);
status.setTimestamp(LocalDateTime.now());
} catch (Exception e) {
logger.error("获取冷却系统状态失败", e);
}
return status;
}
/**
* 计算冷却效率
*/
private double calculateCoolingEfficiency(CoolingSystemStatus status) {
// 冷却效率 = (进水温度 - 出水温度) / (进水温度 - 环境温度)
double inletTemp = status.getCoolingTowerInletTemp();
double outletTemp = status.getCoolingTowerOutletTemp();
double ambientTemp = environmentalMonitor.getCurrentConditions().getAmbientTemperature();
if (inletTemp <= ambientTemp) return 0.0;
double efficiency = (inletTemp - outletTemp) / (inletTemp - ambientTemp) * 100;
return Math.max(0, Math.min(100, efficiency));
}
/**
* 计算功耗
*/
private double calculatePowerConsumption(CoolingSystemStatus status) {
double totalPower = 0;
// 风机功耗
for (double fanSpeed : status.getFanSpeeds()) {
if (fanSpeed > 0) {
totalPower += 200 * Math.pow(fanSpeed / 100, 3); // 风机功耗与转速三次方成正比
}
}
// 水泵功耗
for (double pumpSpeed : status.getPumpSpeeds()) {
if (pumpSpeed > 0) {
totalPower += 500 * Math.pow(pumpSpeed / 100, 3); // 水泵功耗与转速三次方成正比
}
}
return totalPower;
}
/**
* 生成优化建议
*/
public List<OptimizationRecommendation> generateOptimizationRecommendations() {
List<OptimizationRecommendation> recommendations = new ArrayList<>();
try {
CoolingSystemStatus status = getCurrentStatus();
EnvironmentalConditions env = environmentalMonitor.getCurrentConditions();
// 分析当前运行状态
if (status.getEfficiency() < 70) {
recommendations.add(new OptimizationRecommendation(
"LOW_EFFICIENCY",
"冷却效率偏低",
"建议检查冷却塔填料是否堵塞,考虑增加风机转速",
"MEDIUM"
));
}
if (status.getPowerConsumption() > 2000) {
recommendations.add(new OptimizationRecommendation(
"HIGH_POWER_CONSUMPTION",
"功耗过高",
"建议根据负荷调整设备运行台数,优化转速控制",
"HIGH"
));
}
if (env.getAmbientTemperature() < 15 && status.getFanSpeeds()[0] > 60) {
recommendations.add(new OptimizationRecommendation(
"OVER_COOLING",
"过度冷却",
"环境温度较低,建议降低风机转速以节约能耗",
"LOW"
));
}
if (status.getCondenserPressure() > 5.0) {
recommendations.add(new OptimizationRecommendation(
"HIGH_CONDENSER_PRESSURE",
"凝汽器压力偏高",
"建议增加循环水流量或降低冷却水温度",
"HIGH"
));
}
} catch (Exception e) {
logger.error("生成优化建议失败", e);
}
return recommendations;
}
// 辅助方法
private double calculateBaseFanSpeed(double ambientTemp, double thermalLoad) {
// 基础转速计算公式
return 30 + thermalLoad * 0.5 + (ambientTemp - 20) * 0.8;
}
private PerformanceMetrics analyzeCurrentPerformance(CoolingSystemStatus status) {
PerformanceMetrics metrics = new PerformanceMetrics();
metrics.setEfficiency(status.getEfficiency());
metrics.setPowerConsumption(status.getPowerConsumption());
metrics.setCoolingCapacity(calculateCoolingCapacity(status));
return metrics;
}
private double calculateCoolingCapacity(CoolingSystemStatus status) {
// 冷却能力计算
double waterFlow = status.getCirculatingWaterFlow();
double tempDiff = status.getCoolingTowerInletTemp() - status.getCoolingTowerOutletTemp();
return waterFlow * tempDiff * 4.18; // kW
}
private LoadConditions getLoadConditions() {
LoadConditions conditions = new LoadConditions();
// 从其他系统获取负荷信息
conditions.setThermalLoad(75.0); // 示例值
return conditions;
}
private OptimizationBenefit evaluateOptimizationBenefit(OptimizationPlan plan, PerformanceMetrics current) {
OptimizationBenefit benefit = new OptimizationBenefit();
// 预测优化后的性能
double predictedEfficiency = current.getEfficiency() + 5; // 预期效率提升5%
double predictedPowerSaving = current.getPowerConsumption() * 0.1; // 预期节能10%
benefit.setEfficiencyImprovement(5.0);
benefit.setEnergySaving(predictedPowerSaving);
benefit.setWorthwhile(predictedPowerSaving > 50); // 节能超过50kW才值得优化
return benefit;
}
private double optimizeMakeupWater(double currentLevel, double evaporationRate) {
// 补水流量优化
double targetLevel = 85.0; // 目标水位85%
double levelDiff = targetLevel - currentLevel;
return Math.max(0, levelDiff * 10 + evaporationRate);
}
private boolean adjustMakeupWaterFlow(double flow) {
try {
int flowPercent = (int) Math.round(flow);
modbusClient.writeHoldingRegister(2300, flowPercent);
logger.info("调节补水流量: {}%", flowPercent);
return true;
} catch (Exception e) {
logger.error("调节补水流量失败", e);
return false;
}
}
private void recordOptimizationAction(OptimizationPlan plan) {
try {
OptimizationRecord record = new OptimizationRecord();
record.setPlan(plan);
record.setTimestamp(LocalDateTime.now());
record.setOperator("SYSTEM_AUTO");
// 保存到数据库
// dataRepository.saveOptimizationRecord(record);
} catch (Exception e) {
logger.error("记录优化操作失败", e);
}
}
}
3 数据模型定义
3.1 并网控制数据模型
/**
* 同步参数数据模型
*/
public class SyncParameters {
private double generatorVoltage; // 发电机电压 V
private double generatorFrequency; // 发电机频率 Hz
private double gridVoltage; // 电网电压 V
private double gridFrequency; // 电网频率 Hz
private double phaseDifference; // 相位差 度
private LocalDateTime timestamp;
// 构造函数、Getters和Setters
public SyncParameters() {
this.timestamp = LocalDateTime.now();
}
// ... 省略getter和setter方法
}
/**
* 同步条件评估结果
*/
public class SyncCondition {
private double voltageDifference; // 电压差 V
private double frequencyDifference; // 频率差 Hz
private double phaseDifference; // 相位差 度
private boolean readyForSync; // 是否可以并网
// ... 省略getter和setter方法
}
3.2 冷却系统数据模型
/**
* 冷却系统状态数据模型
*/
public class CoolingSystemStatus {
private double coolingTowerInletTemp; // 冷却塔进水温度 °C
private double coolingTowerOutletTemp; // 冷却塔出水温度 °C
private double coolingTowerWaterLevel; // 冷却塔水位 %
private double condenserPressure; // 凝汽器压力 kPa
private double condenserVacuum; // 凝汽器真空度 %
private double condenserCoolingWaterInletTemp; // 凝汽器冷却水进水温度 °C
private double condenserCoolingWaterOutletTemp; // 凝汽器冷却水出水温度 °C
private double circulatingWaterFlow; // 循环水流量 m³/h
private double circulatingWaterPressure; // 循环水压力 MPa
private double[] fanSpeeds; // 风机转速 %
private double[] pumpSpeeds; // 水泵转速 %
private double efficiency; // 冷却效率 %
private double powerConsumption; // 功耗 kW
private LocalDateTime timestamp;
// ... 省略getter和setter方法
}
/**
* 优化方案数据模型
*/
public class OptimizationPlan {
private double[] fanSpeeds; // 优化后的风机转速
private double[] pumpSpeeds; // 优化后的水泵转速
private double makeupWaterFlow; // 优化后的补水流量
private String optimizationReason; // 优化原因
private LocalDateTime timestamp;
// ... 省略getter和setter方法
}
4 总结
本文详细介绍了燃煤发电厂电网并网控制与冷却系统优化的Java实现方案。主要特点包括:
- 精确并网控制:实现电压、频率、相位的精确同步,确保并网安全
- 智能优化算法:基于环境条件和负荷需求的多目标优化
- 渐进式调节:避免设备突变,保证系统稳定
- 预测性维护:通过数据分析提供优化建议
- 安全保护机制:完善的故障检测和紧急处理功能
下一篇文章将介绍系统集成与数据分析平台的实现方案,完成整个智能监控系统的构建。
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