摘要
制冷负荷参与运行调控可以有效降低微电网供能压力和新能源波动偏差。以空调为例建立优化调控模型,提出了一种计及制冷负荷柔性调节的微电网两阶段优化运行模型。第一阶段以运行成本最小化为目标,建立微电网多能设备协同优化模型,优化制冷负荷、储能设备、柴油发电机等设备运行策略与电网购电方案。第二阶段以新能源波动平抑成本与剩余波动偏差最小化为目标,建立含制冷负荷、储能装置等多类型资源调节响应特性的新能源波动功率平抑模型。以三栋商业楼宇与风光柴储组成的微电网系统来验证所提模型的有效性。仿真结果表明,通过制冷负荷优化调控,可以在不影响用户用能满意度的前提下提升微电网运行的经济性,降低新能源波动功率,整体可使微电网总运行成本降低3.3%、新能源波动偏差功率减小约61%。
Cooling load participating in operation regulation can effectively reduce the micro-grid energy supply burden and renewable energy fluctuation deviation.The optimal control model is established by taking air conditioner as an example,two-stage optimal operation model of micro-grid is proposed considering the cooling load flexible regulation.In the first stage,with the goal of minimizing operation cost,the collaborative optimization model of multi-energy equipment in micro-grid is established to optimize the operation strategy of cooling load,energy storage equipment,diesel generators and the power purchase scheme from power grid.In the second stage,with the goal of minimizing the fluctuation cost and residual fluctuation deviation of renewable energy,the fluctuation power stabilization model is established,including the response characteristics of various types of resources,such as cooling load and energy storage device.The micro-grid system composed of three commercial buildings and wind-photovoltaic-diesel-storage is used to verify the effectiveness of the proposed model.The simulation results show that the economy of micro-grid operation can be improved and the fluctuating power of new energy can be reduced without affecting the satisfaction of users through cool load optimal regulation.The overall operating cost of micro-grid can be reduced by 3.3%,and the fluctuating power of new energy can be reduced by about 61%.
作者
向航
刘继春
王杨
XIANG Hang;LIU Jichun;WANG Yang(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;Power China Sichuan Electric Power Engineering Co.,Ltd.,Chengdu 610041,China)
出处
《智慧电力》
北大核心
2023年第7期59-66,共8页
Smart Power
基金
国家自然科学基金资助项目(U2066209)。
