考虑需求侧响应的风光储工业园区经济调度与实时控制OA
Economic Dispatch and Real-time Control of Wind-solar-storage Industrial Park Considering Demand-side Response
高比例可再生能源系统是实现双碳目标的必然选择,但风光出力的不确定性将会造成比较严重的弃风、弃光.随着电力市场不断深化改革,需求侧响应也备受瞩目.针对上述问题,以风光储工业园区为研究对象,结合广东电力现货市场的运行机制,提出了多时间尺度联合优化运行方法.在日前阶段,考虑需求侧响应,建立以园区日运行成本最小为目标的经济调度模型,得到现货日前市场的24h功率计划曲线;在实时阶段,提出利用混合储能系统平抑风光储工业园区计划功率偏差的控制策略.仿真结果表明,该方法可以提升风光利用率,显著提高园区的经济运行水平:在晴天多风典型日,园区日前运行总成本下降了37.12%,考核电量下降了93.5%;在雨天少风典型日,园区日前运行总成本下降了10.1%,考核电量下降了99.9%;控制指标的合格率显著提高,计划功率偏差得到有效改善.
The high proportion of renewable energy system is an inevitable choice to achieve the dual carbon target,but the uncertainty of wind and solar output will cause serious wind and light abandonment.With the deepening reform of the electricity market,the demand-side response has also attracted much attention.In view of the above problems,taken the wind-solar-storage industrial park as the research object,combined with the operation mechanism of Guangdong power spot market,a multi-time scale joint optimization operation method was proposed.In the day-ahead stage,considering the demand-side response,an economic dispatch model with the minimum daily operation cost of the park as the target was established,and the 24 hours power plan curve of the spot day-ahead market was obtained.In the real-time stage,the control strategy of using the hybrid energy storage system to stabilize the planned power deviation of the wind-solar-storage industrial park was proposed.The simulation results show that this method can improve the utilization rate of wind and solar energy and significantly improve the economic operation level of the park.On a typical sunny and windy day,the total cost of the park's day-ahead operation decreased by 37.12%,and the assessment power decreased by 93.5%.On the typical day of rainy days and less wind,the total cost of the park's day-ahead operation decreased by 10.1%,and the assessment power decreased by 99.9%.The qualified rate of the control index is significantly improved,and the planned power deviation is effectively improved.
蔡新雷;王钦;陈业夫;孟子杰;宋东阔
广东电网有限责任公司电力调度控制中心,广东 广州 510062广东电网有限责任公司电力调度控制中心,广东 广州 510062广东电网有限责任公司电力调度控制中心,广东 广州 510062广东电网有限责任公司电力调度控制中心,广东 广州 510062国电南瑞科技股份有限公司,江苏 南京 211106
动力与电气工程
风光储工业园区日前优化调度需求侧响应实时控制策略电力现货市场
wind-solar-storage industrial parkday-ahead optimal schedulingdemand-side responsereal-time control strategyelectricity spot market
《电气传动》 2025 (2)
59-68,10
南方电网公司科技项目(036000KK52220004)
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