| 引用本文: | 林君豪,张 焰,陈 思,杨增辉,苏 运.考虑可控负荷影响的主动配电系统分布式电源优化配置[J].电力自动化设备,2016,36(9): |
| LIN Junhao,ZHANG Yan,CHEN Si,YANG Zenghui,SU Yun.Optimal DG allocation considering effect of controllable load for active distribution system[J].Electric Power Automation Equipment,2016,36(9): |
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| 摘要: |
| 在常规的配电网分布式电源优化配置基础上，结合主动配电系统特点，考虑可控负荷的影响，建立了分布式电源双层优化配置模型。上层模型用于求解接入主动配电系统的分布式电源最优位置和容量；下层模型用于求解各时段最优的可控分布式电源出力和可控负荷大小，并利用鲁棒优化理论，采用盒式不确定集合表征风力发电、光伏发电等不可控分布式电源出力的不确定性。利用该模型，可以在求解分布式电源优化配置问题的同时考虑运行调度的因素，从某种程度上实现主动配电系统电源规划与运行的统筹。最后采用蝙蝠算法求解双层优化模型。通过对IEEE 33节点配电系统进行算例分析，并与遗传算法、粒子群优化算法进行对比，验证了所提模型的合理性以及蝙蝠算法的适用性和较强的全局寻优能力。 |
| 关键词: 分布式电源 优化配置 可控负荷 主动配电系统 鲁棒优化 蝙蝠算法 |
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| 基金项目:国家高技术研究发展计划（863计划）资助项目（2015AA050203）；国家电网公司科技项目（520900150037） |
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| Optimal DG allocation considering effect of controllable load for active distribution system |
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LIN Junhao1, ZHANG Yan1, CHEN Si1, YANG Zenghui2, SU Yun2
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1.Department of Electrical Engineering，Shanghai Jiao Tong University，Shanghai 200240，China;2.Electric Power Research Institute，SMEPC，Shanghai 200437，China
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| Abstract: |
| Based on the conventionally optimal allocation of DGs（Distributed Generations） in distribution network and combined with the features of active distribution system，a bi-layer optimal DG allocation model considering the effect of controllable load is proposed. The upper-layer model aims at obtaining the optimal allocation of DGs in the active distribution system while the lower-layer model aims at calculating the optimal power output of controllable DG and load for different periods. According to the robust optimization theory，the box uncertainty set is used to present the uncertainty of uncontrollable DG output，such as wind turbine，photovoltaic，etc. During the optimization of DG allocation，the proposed model also considers the factors of operation and dispatch to achieve the coordination of active distribution system between DG planning and operation to a certain extent. The model is solved by the bat algorithm. Case analysis for the IEEE 33-bus distribution system verifies the rationality of the proposed model and the feasibility of the bat algorithm. Compared with the traditional genetic algorithm and particle swarm optimization algorithm，the bat algorithm has better global optimization performance. |
| Key words: distributed power generation optimal allocation controllable load active distribution system robust optimization bat algorithm |
