Commit 8786c8de authored by ZWT's avatar ZWT

feat(能源管理系统): 间开优化定时任务

1.开发间开优化定期校准定时任务,配置表达式修改定时任务配置文件,创建cloud模块方法;
2.开发间开优化定期校准定时任务,完成业务逻辑开发;
3.修改间开制度管理模块定期校准新增功能,增加初始化校准历史业务逻辑;
4.开发间开优化短期间开优化定时任务,配置表达式修改定时任务配置文件,创建cloud模块方法;
5.修改长期间开优化定时任务,添加离网型线路数据处理逻辑;
6.创建储能预测电量数据(模拟数据测试用)表,生成对应代码,添加条件查询各时段储能预测数据Cloud模块接口;
7.修改长期间开优化定时任务,增加离网型算法计算储能可用时长逻辑;
8.修改长期间开优化定时任务,优化部分sql查询语句查询逻辑,优化代码结构;
9.光伏预测Cloud模块查询预测发电量接口修改,增加查询长期发电量逻辑;
10.修改中短期间开优化定时任务,添加离网型优化逻辑;
11.修改长期/中短期间开优化定时任务,优化代码结构;

BREAKING CHANGE: 无

Closes 无

[skip ci]
parent db1880f3
......@@ -191,11 +191,12 @@ public class SpaceOptimizeBaseService {
/**
* 获取井口间开时间段
*
* @param durationMapper 持续时间映射器
* @param context 上下文
* @param detailId 详细信息id
* @return {@link Map}<{@link String}, {@link List}<{@link SpaceInstitutionDurationEnt}>>
*/
public Map<String, List<SpaceInstitutionDurationEnt>> getDurationMap(SpaceInstitutionDurationMapper durationMapper, String detailId) {
public Map<String, List<SpaceInstitutionDurationEnt>> getDurationMap(XContext context, String detailId) {
SpaceInstitutionDurationMapper durationMapper = context.getBean(SpaceInstitutionDurationMapper.class);
//通过间开ID和井口ID查所有井口时段配置
List<SpaceInstitutionDurationEnt> durationList = durationMapper.selectList(new QueryWrapper<SpaceInstitutionDurationEnt>()
.select("*",
......@@ -541,18 +542,17 @@ public class SpaceOptimizeBaseService {
* @param wellheadViewList 井口视图列表
* @param durationMap 持续时间图
* @param detail 细节
* @param lineId 线路id
* @param monthNum 月份
* @param midPeriodId 中期id
*/
public void peakEliminationAndValleyLevelingStrategy(XContext context, List<SpaceOptimizeWellheadDTO> wellheadDTOList, List<SpaceOptimizeDurationDTO> unOptimizeDurationList,
List<SpaceOptimizeDurationDTO> durationDTOList, List<SpaceInstitutionWellheadView> wellheadViewList,
Map<String, List<SpaceInstitutionDurationEnt>> durationMap, SpaceInstitutionDetailEnt detail,
String lineId, int monthNum, String midPeriodId) {
int monthNum, String periodId) {
//通过线路ID和月份获取市电峰谷策略明细配置
List<GetBasePriceStrategyDetailOutput> strategyDetailList = ServiceUtil.getStrategyDetailList(context,
GetBasePriceStrategyDetailInput.builder()
.lineId(lineId)
.lineId(detail.getLineId())
.strategyMonth(String.valueOf(monthNum))
.build()
);
......@@ -581,7 +581,7 @@ public class SpaceOptimizeBaseService {
for (int w = 0, wellheadSize = wellheadViewList.size(); w < wellheadSize; w++) {
SpaceInstitutionWellheadView wellhead = wellheadViewList.get(w);
String wellheadId = wellhead.getWellheadId();
String recordId = this.createOptimizeWellhead(wellheadDTOList, midPeriodId, wellheadId, wellhead.getWellNumber());
String recordId = this.createOptimizeWellhead(wellheadDTOList, periodId, wellheadId, wellhead.getWellNumber());
List<SpaceInstitutionDurationEnt> durationConfigList = durationMap.get(wellhead);
if (CollUtil.isEmpty(durationConfigList)) {
//没有设置时间段,无法优化
......@@ -589,7 +589,7 @@ public class SpaceOptimizeBaseService {
}
//保存原始记录
for (SpaceInstitutionDurationEnt durationEnt : durationConfigList) {
this.createUnOptimizeDuration(unOptimizeDurationList, durationEnt, midPeriodId, recordId, wellheadId);
this.createUnOptimizeDuration(unOptimizeDurationList, durationEnt, periodId, recordId, wellheadId);
}
if (w == 0) {
//第一个井口
......@@ -612,7 +612,7 @@ public class SpaceOptimizeBaseService {
int startDuration = (int) startTime.between(endTime, DateUnit.MINUTE);
//第一次关井时间按照启动时长顺延
DateTime endTimeOptimize = startTime.offset(DateField.MINUTE, startDuration);
this.createOptimizeDuration(durationDTOList, midPeriodId, recordId, wellheadId, null,
this.createOptimizeDuration(durationDTOList, periodId, recordId, wellheadId, null,
strategyDetailOutput.getStartTime(), endTimeOptimize.toString(BusinessConstant.MINUTES_FORMAT)
);
//取时间间隔(分钟)
......@@ -624,7 +624,7 @@ public class SpaceOptimizeBaseService {
DateTime endTimeOffset = firstEndTime.offset(DateField.MINUTE, startInterval);
//取时间间隔(分钟)
between = BaseUtils.getTimeDifferenceMinute(firstEndTime, endTime);
this.createOptimizeDuration(durationDTOList, midPeriodId, recordId, wellheadId, null,
this.createOptimizeDuration(durationDTOList, periodId, recordId, wellheadId, null,
startTimeOffset.toString(BusinessConstant.MINUTES_FORMAT), endTimeOffset.toString(BusinessConstant.MINUTES_FORMAT)
);
}
......@@ -635,7 +635,7 @@ public class SpaceOptimizeBaseService {
//如果时间超过当天,舍弃
continue;
}
this.createOptimizeDuration(durationDTOList, midPeriodId, recordId, wellheadId, null,
this.createOptimizeDuration(durationDTOList, periodId, recordId, wellheadId, null,
offset.toString(BusinessConstant.MINUTES_FORMAT), BaseUtils.getEndTimeString(
DateUtil.parse(duration.getCloseWellTime() + BusinessConstant.INITIALIZATION_SECOND, BusinessConstant.TIME_FORMAT)
.offset(DateField.MINUTE, between)
......@@ -650,32 +650,35 @@ public class SpaceOptimizeBaseService {
* 并网优化
*
* @param context 上下文
* @param durationMapper 持续时间映射器
* @param wellheadDTOList 井口dtolist
* @param durationDTOList 持续时间dtolist
* @param unOptimizeDurationList 取消优化工期列表
* @param spaceWellheadList 空间井口清单
* @param avgPowerList 平均功率列表
* @param detail 细节
* @param monthNum 月份
* @param detailId 详细信息id
* @param periodId 期间id
* @param lineId 线路id
* @param plantPowerInput 电厂功率输入
*/
public void gridConnectedOptimization(XContext context, SpaceInstitutionDurationMapper durationMapper, List<SpaceOptimizeWellheadDTO> wellheadDTOList,
public void gridConnectedOptimization(XContext context, List<SpaceOptimizeWellheadDTO> wellheadDTOList,
List<SpaceOptimizeDurationDTO> durationDTOList, List<SpaceOptimizeDurationDTO> unOptimizeDurationList,
List<SpaceInstitutionWellheadView> spaceWellheadList, List<DynamicQueryPlantPredictedPowerOutput> avgPowerList,
SpaceInstitutionDetailEnt detail, int monthNum, String detailId, String periodId, String lineId) {
List<SpaceInstitutionWellheadView> spaceWellheadList,
SpaceInstitutionDetailEnt detail, int monthNum, String periodId,
DynamicQueryPlantPredictedPowerInput plantPowerInput) {
//获取当前制度对应的光伏预测数据列表
List<DynamicQueryPlantPredictedPowerOutput> avgPowerList = this.getAveragePowerGenerationListByPlantIds(context, plantPowerInput);
if (CollUtil.isEmpty(avgPowerList)) {
return;
}
//取光伏出力峰值
BigDecimal powerMax = this.getPowerMax(avgPowerList);
//取当前制度下井口的总功率
BigDecimal wellheadTotalPower = this.getWellheadTotalPower(spaceWellheadList, detailId);
BigDecimal wellheadTotalPower = this.getWellheadTotalPower(spaceWellheadList, detail.getId());
//根据类型过滤井口:大间开,连抽井不优化
List<SpaceInstitutionWellheadView> wellheadViewList = this.getWellheadViewList(spaceWellheadList, detailId);
List<SpaceInstitutionWellheadView> wellheadViewList = this.getWellheadViewList(spaceWellheadList, detail.getId());
if (CollUtil.isEmpty(wellheadViewList)) {
return;
}
Map<String, List<SpaceInstitutionDurationEnt>> durationMap = this.getDurationMap(durationMapper, detailId);
Map<String, List<SpaceInstitutionDurationEnt>> durationMap = this.getDurationMap(context, detail.getId());
if (CollUtil.isEmpty(durationMap)) {
//没有设置时间段,无法优化
return;
......@@ -695,7 +698,7 @@ public class SpaceOptimizeBaseService {
if (size == lowWellheadListSize) {
//---------------------------------消峰平谷策略---------------------------------
this.peakEliminationAndValleyLevelingStrategy(context, wellheadDTOList, unOptimizeDurationList, durationDTOList, wellheadViewList,
durationMap, detail, lineId, monthNum, periodId);
durationMap, detail, monthNum, periodId);
}
//光伏出力峰值>=线路哪部分井口运行功率:满足的部分井口采用绿电消纳优先,不满足的井采用消峰平谷
else {
......@@ -703,7 +706,7 @@ public class SpaceOptimizeBaseService {
this.greenElectricityConsumptionStrategy(wellheadDTOList, unOptimizeDurationList, durationDTOList,
highWellheadList, avgPowerList, durationMap, detail, periodId);
this.peakEliminationAndValleyLevelingStrategy(context, wellheadDTOList, unOptimizeDurationList, durationDTOList,
lowWellheadList, durationMap, detail, lineId, monthNum, periodId);
lowWellheadList, durationMap, detail, monthNum, periodId);
}
}
}
......@@ -726,20 +729,19 @@ public class SpaceOptimizeBaseService {
List<SpaceOptimizeDurationDTO> unOptimizeDurationList, List<SpaceInstitutionWellheadView> spaceWellheadList,
Map<String, List<DynamicQueryBasePowerLineStorageViewOutput>> storageAvgMap, SpaceInstitutionDetailEnt detail, String periodId,
DynamicQueryStoragePredictedPowerInput input, DynamicQueryPlantPredictedPowerInput plantPowerInput) {
//获取当前制度对应的光伏预测数据列表
List<DynamicQueryPlantPredictedPowerOutput> avgPowerList = this.getAveragePowerGenerationListByPlantIds(context, plantPowerInput);
if (CollUtil.isEmpty(avgPowerList)) {
return;
}
String detailId = detail.getId();
String lineId = detail.getLineId();
//根据类型过滤井口:大间开,连抽井不优化
List<SpaceInstitutionWellheadView> wellheadViewList = this.getWellheadViewList(spaceWellheadList, detailId);
List<SpaceInstitutionWellheadView> wellheadViewList = this.getWellheadViewList(spaceWellheadList, detail.getId());
if (CollUtil.isEmpty(wellheadViewList)) {
return;
}
//获取井口间开时间段
SpaceInstitutionDurationMapper durationMapper = context.getBean(SpaceInstitutionDurationMapper.class);
Map<String, List<SpaceInstitutionDurationEnt>> durationMap = this.getDurationMap(durationMapper, detailId);
Map<String, List<SpaceInstitutionDurationEnt>> durationMap = this.getDurationMap(context, detail.getId());
if (CollUtil.isEmpty(durationMap)) {
//没有设置时间段,无法优化
return;
......@@ -852,7 +854,7 @@ public class SpaceOptimizeBaseService {
}
//离网优化
if (CollUtil.isNotEmpty(offGridPeriodList)) {
if (!storageAvgMap.containsKey(lineId)) {
if (!storageAvgMap.containsKey(detail.getLineId())) {
//没有储能设备,无法计算
return;
}
......@@ -869,7 +871,7 @@ public class SpaceOptimizeBaseService {
return;
}
//取储能计算参数
List<DynamicQueryBasePowerLineStorageViewOutput> avgStorageViewList = storageAvgMap.get(lineId);
List<DynamicQueryBasePowerLineStorageViewOutput> avgStorageViewList = storageAvgMap.get(detail.getLineId());
DynamicQueryBasePowerLineStorageViewOutput avgStorageView = avgStorageViewList.get(0);
//平均额定放电效率(%)
BigDecimal avgRatedDischargeEfficiency = avgStorageView.getRatedDischargeEfficiency();
......
......@@ -4,13 +4,14 @@ import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.date.DateTime;
import cn.hutool.core.date.DateUtil;
import pps.cloud.prediction.service.data.plant_predicted_power_data.DynamicQueryPlantPredictedPowerInput;
import pps.cloud.prediction.service.data.plant_predicted_power_data.DynamicQueryPlantPredictedPowerOutput;
import pps.cloud.prediction.service.data.storage_predicted_power_data.DynamicQueryStoragePredictedPowerInput;
import pps.cloud.space.service.ISpaceOptimizeLongCloudService;
import pps.core.common.constant.BusinessConstant;
import pps.core.common.utils.BaseUtils;
import pps.core.space.entity.*;
import pps.core.space.mapper.SpaceInstitutionDurationMapper;
import pps.core.space.entity.SpaceInstitutionDetailEnt;
import pps.core.space.entity.SpaceOptimizeDurationDTO;
import pps.core.space.entity.SpaceOptimizePeriodDTO;
import pps.core.space.entity.SpaceOptimizeWellheadDTO;
import pps.core.space.mapper.SpaceOptimizeViewMapper;
import pps.core.space.service.data.SpaceOptimizeLineRelation;
import xstartup.annotation.XService;
......@@ -58,14 +59,12 @@ public class SpaceOptimizeLongCloudServiceImpl extends SpaceOptimizeBaseService
}
String month = BaseUtils.getMonthString(lastMonthNum);
String lastMonth = BaseUtils.getMonthString(date.month());
SpaceInstitutionDurationMapper durationMapper = context.getBean(SpaceInstitutionDurationMapper.class);
List<SpaceOptimizePeriodDTO> periodDTOList = new ArrayList<>(32);
List<SpaceOptimizeWellheadDTO> wellheadDTOList = new ArrayList<>(64);
List<SpaceOptimizeDurationDTO> durationDTOList = new ArrayList<>(128);
List<SpaceOptimizeDurationDTO> unOptimizeDurationList = new ArrayList<>(128);
String executionCycleForMonth = BaseUtils.getExecutionCycleForMonth(date);
DateTime optimizeDeadline = DateUtil.endOfMonth(date);
List<DynamicQueryPlantPredictedPowerOutput> avgPowerList;
//优化
for (SpaceInstitutionDetailEnt detail : detailEntList) {
//创建记录
......@@ -73,17 +72,14 @@ public class SpaceOptimizeLongCloudServiceImpl extends SpaceOptimizeBaseService
switch (detail.getGridTypeKey()) {
//并网型优化
case "1":
//获取当前制度对应的光伏预测数据列表
avgPowerList = super.getAveragePowerGenerationListByPlantIds(context,
super.gridConnectedOptimization(context, wellheadDTOList, durationDTOList, unOptimizeDurationList,
relation.getSpaceWellheadList(), detail, monthNum, periodId,
DynamicQueryPlantPredictedPowerInput.builder()
.plantIds(plantIdsByLineIdMap.get(detail.getLineId()))
.yearTime(String.valueOf(year))
.monthTime(month)
.dateType(BusinessConstant.ZERO)
.build()
);
super.gridConnectedOptimization(context, durationMapper, wellheadDTOList, durationDTOList, unOptimizeDurationList,
relation.getSpaceWellheadList(), avgPowerList, detail, monthNum, detail.getId(), periodId, detail.getLineId());
.build());
break;
//离网型优化
case "0":
......
......@@ -4,7 +4,6 @@ import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.date.DateTime;
import cn.hutool.core.date.DateUtil;
import pps.cloud.prediction.service.data.plant_predicted_power_data.DynamicQueryPlantPredictedPowerInput;
import pps.cloud.prediction.service.data.plant_predicted_power_data.DynamicQueryPlantPredictedPowerOutput;
import pps.cloud.prediction.service.data.storage_predicted_power_data.DynamicQueryStoragePredictedPowerInput;
import pps.cloud.space.service.ISpaceOptimizeMidCloudService;
import pps.core.common.constant.BusinessConstant;
......@@ -13,7 +12,6 @@ import pps.core.space.entity.SpaceInstitutionDetailEnt;
import pps.core.space.entity.SpaceOptimizeDurationDTO;
import pps.core.space.entity.SpaceOptimizePeriodDTO;
import pps.core.space.entity.SpaceOptimizeWellheadDTO;
import pps.core.space.mapper.SpaceInstitutionDurationMapper;
import pps.core.space.mapper.SpaceOptimizeViewMapper;
import pps.core.space.service.data.SpaceOptimizeLineRelation;
import xstartup.annotation.XService;
......@@ -52,7 +50,6 @@ public class SpaceOptimizeMidCloudServiceImpl extends SpaceOptimizeBaseService i
//月份要加一
int monthNum = date.month() + 1;
DateTime lastWeek = DateUtil.lastWeek();
SpaceInstitutionDurationMapper durationMapper = context.getBean(SpaceInstitutionDurationMapper.class);
List<SpaceOptimizePeriodDTO> periodDTOList = new ArrayList<>(32);
List<SpaceOptimizeWellheadDTO> wellheadDTOList = new ArrayList<>(64);
List<SpaceOptimizeDurationDTO> durationDTOList = new ArrayList<>(128);
......@@ -71,8 +68,8 @@ public class SpaceOptimizeMidCloudServiceImpl extends SpaceOptimizeBaseService i
switch (detail.getGridTypeKey()) {
//并网型优化
case "1":
//获取当前制度对应的光伏预测数据列表
List<DynamicQueryPlantPredictedPowerOutput> avgPowerList = super.getAveragePowerGenerationListByPlantIds(context,
super.gridConnectedOptimization(context, wellheadDTOList, durationDTOList, unOptimizeDurationList,
relation.getSpaceWellheadList(), detail, monthNum, periodId,
DynamicQueryPlantPredictedPowerInput.builder()
.plantIds(plantIdsByLineIdMap.get(lineId))
.startTime(startWeek)
......@@ -80,13 +77,11 @@ public class SpaceOptimizeMidCloudServiceImpl extends SpaceOptimizeBaseService i
.dateType(BusinessConstant.ONE)
.build()
);
super.gridConnectedOptimization(context, durationMapper, wellheadDTOList, durationDTOList, unOptimizeDurationList,
relation.getSpaceWellheadList(), avgPowerList, detail, monthNum, detailId, periodId, lineId);
break;
//离网型优化
case "0":
super.offGridOptimization(context, wellheadDTOList, durationDTOList, unOptimizeDurationList, relation.getSpaceWellheadList(),
relation.getStorageAvgMap(), detail, periodId,
super.offGridOptimization(context, wellheadDTOList, durationDTOList, unOptimizeDurationList,
relation.getSpaceWellheadList(), relation.getStorageAvgMap(), detail, periodId,
DynamicQueryStoragePredictedPowerInput.builder()
.storageIds(plantIdsByLineIdMap.get(detail.getLineId()))
.startTime(DateUtil.beginOfWeek(lastWeek).toString(BusinessConstant.DATE_FORMAT_DAY))
......
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