许珊, 李扬. 考虑时序特性的配电网分布式电源优化配置[J]. 现代电力, 2019, 36(2): 8-16.
引用本文: 许珊, 李扬. 考虑时序特性的配电网分布式电源优化配置[J]. 现代电力, 2019, 36(2): 8-16.
XU Shan, LI Yang. Optimal Allocation of Distributed Generators in Distribution Network Based on Time-sequence Characteristics[J]. Modern Electric Power, 2019, 36(2): 8-16.
Citation: XU Shan, LI Yang. Optimal Allocation of Distributed Generators in Distribution Network Based on Time-sequence Characteristics[J]. Modern Electric Power, 2019, 36(2): 8-16.

考虑时序特性的配电网分布式电源优化配置

Optimal Allocation of Distributed Generators in Distribution Network Based on Time-sequence Characteristics

  • 摘要: 分布式风电、光伏电池等分布式电源输出功率以及系统负荷功率的随机性和时序性波动为配电网中分布式电源的优化配置带来巨大的挑战。为此,利用全年各季节各时段历史数据,基于多场景与时段划分的方法对配电网各时段风速、光照强度和负荷大小建立概率分布模型,以包括配电网运行商收益与修正的电压质量改善指标在内的综合效益为目标函数,对各时段采用机会约束规划方法建立考虑时序特性的分布式电源优化配置模型。以IEEE33节点配电系统作为算例,采用精英策略遗传算法对该模型进行求解,规划结果验证了所提模型的有效性,同时表明合理的分布式电源配置方案能够取得较好的经济、环境以及电压质量效益。

     

    Abstract: The stochastic and time-sequence characteristics of the output of distributed generation such as wind power, solar photovoltaic, and the load have brought great challenges to the optimal allocation of distributed generation in the distribution network. Therefore, based on the one year hourly data, the probability distribution model of wind speed, light intensity and load of each hour are established using multi-scenario and time period partition approach. Taking the comprehensive benefit including distribution network operators' revenue and modified voltage quality improvement index as the objective function, a distributed generation planning model is presented based on time-sequence characteristics using chance-constrained programming for each time period. The genetic algorithm is applied to solve the model. The simulation results of the IEEE33 bus distribution system verify the effectiveness of the proposed model, and show that a reasonable distributed generation allocation scheme can achieve significant economical and environmental benefits and improve voltage quality.

     

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