考虑越限风险的主动配电网日前优化调度及运行

发布时间：2019-07-26 19:00

【摘要】：可再生能源发电的高效利用和网络优化运行是发展主动配电网(active distribution network,ADN)的核心价值,然而ADN内风光荷的多重时序波动与不确定性给优化调度工作带来了挑战。该文提出了一种考虑越限风险的主动配电网日前优化调度运行方法。在日前调度阶段考虑风光荷的不确定性所导致的运行越限风险,兼顾调度经济性与安全性,建立了运行成本与越限风险最小的多目标日前优化调度模型,计及储能、分布式电源、无功电压设备、网络灵活拓扑等ADN调度手段。用理想点法来处理多目标模型,以和声搜索算法为优化问题的求解工具,并基于半不变量法随机潮流实现越限风险指标的计算。最后通过算例分析,验证了所提调度方法的正确性和优越性。
[Abstract]:The efficient utilization of renewable energy power generation and the optimal operation of the network are the core values of the development of active distribution network (active distribution network,ADN). However, the multiple timing fluctuations and uncertainties of wind load in ADN pose a challenge to the optimal dispatching work. In this paper, a day-to-day optimal dispatching method for active distribution network considering the risk of exceeding the limit is proposed. Considering the risk of overrun caused by the uncertainty of wind and light load and considering the economy and security of dispatching, a multi-objective pre-day optimal scheduling model with minimum operation cost and risk is established, which takes into account ADN scheduling methods, such as energy storage, distributed power supply, reactive power and voltage equipment, network flexible topology and so on. The ideal point method is used to deal with the multi-objective model, and the harmony search algorithm is used as the tool to solve the optimization problem, and the risk index of crossing the limit is calculated based on the semi-invariant stochastic power flow method. Finally, the correctness and superiority of the proposed scheduling method are verified by an example.
【作者单位】：上海电力学院电气工程学院;国网浙江省电力公司嘉兴供电公司;
【基金】：国家自然科学基金项目(51407113) 上海绿色能源并网工程技术研究中心项目(13DZ2251900)~~
【分类号】：TM73

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