考虑含储能的三端智能软开关与需求侧响应的主动配电网有功无功协调优化

针对分布式电源(distributed generation, DG)大规模并网导致的配电网电压越限、网络损耗增加和弃风弃光等问题，提出一种考虑含储能(energystoragesystem, ESS)的三端智能软开关(softopenpoint, SOP)与需求侧响应(demand response, DR)的主动配电网(active distribution network, ADN)有功无功协调优化策略。首先，计及可再生能源出力的不确定性，基于条件生成对抗网络(conditional generative adversarial networks, CGAN)生成日前场景。然后，对含ESS的三端SOP与DR进行建模，并将其与DG和传统无功补偿设备进行协调优化。构建以网络损耗最小、电压偏差最小、弃风弃光量最小、用户舒适度与用户经济度最大为优化目标的数学模型。进而转化为混合整数二阶锥规划模型，并利用GUROBI进行求解。最后，在改进的IEEE 33和IEEE 69节点配电系统中进行仿真验证。结果表明，计及风光出力的不确定，所提优化策略在兼顾用户舒适度和用户经济度的同时提高了配电网运行...

Active and reactive power coordination optimization of an active distribution network considering a three-terminal soft open point with energy storage and demand response

There are problems of distribution network voltage over-limit, increased network loss and curtailment of wind and solar power caused by a distributed generation (DG) connected to the grid. Thus an active and reactive power coordinated optimization method for an active distribution network is proposed. It considers demand response (DR) and three-terminal soft open point (SOP) with energy storage system (ESS). First, considering the uncertainty of renewable energy output, day-ahead scenarios are generated based on conditional generative adversarial networks (CGAN). Then, DR and a three-terminal SOP with ESS are modeled and coordinated with the DG and traditional reactive power compensation equipment. A mathematical model is constructed with the optimization objectives of minimum network loss, minimum voltage deviation, minimum curtailment of wind and solar power, and maximum user comfort and user economy. After that, it is transformed into a mixed integer second-order cone programming model and analyzed by GUROBI. Finally, simulation is carried out on an improved IEEE 33-node and IEEE 69-node distribution system. The results show that the proposed optimization method, which takes into account the uncertainty of wind and solar power, improves the economy and reliability of distribution network operation while giving consideration to the comfort and economy of users.