2025年4月3日 周四
首页 > 过刊浏览>2020年第35卷第1期 >50-60. DOI:10.19781/j.issn.16739140.2020.01.006
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考虑输配交互的含风电场电力系统多目标动态随机模糊最优潮流
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TM71

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国家自然科学基金（51677007），国网湖南省电力有限公司科技项目（5216A5170012）


Multiobjective dynamic random fuzzy optimal power flow of wind integrated power system considering the interaction of transmissiondistribution system
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    摘要:

    提出一种考虑输配交互的含风电场电力系统多目标动态随机模糊最优潮流方法。突破传统输配网最优潮流独立计算且配网一般以负荷计及的现状，考虑主动配电网与输电网的双向潮流交互特性和风电注入功率随机模糊性，兼顾系统经济、低碳、降损多目标优化，考虑输配网静态安全，基于随机模糊机会约束规划建立含风电场电力系统输配交互多目标动态随机模糊潮流模型；提出在随机模糊模拟、牛顿拉夫逊法与前推回代法求解输配系统随机模糊潮流基础上，通过输配网节点功率和电压考虑输配交互特性，基于Lookahead和NSGAII获取各时段Pareto解，采用最大满意度法决策，从而提出模型求解算法。改进的IEEE 30节点输电系统与IEEE 33节点配电系统的算例仿真结果表明了文中提出的模型和算法有效性和优越性。

    Abstract:

    This paper proposes a transmissiondistribution interaction multiobjective dynamic random fuzzy optimal power flow method for wind integrated power system. It is a breakthrough of the traditional independent optimal power flow method for transmission and distribution network and that the distribution network is seen as load. Considering bidirectional power interaction between active distribution network (ADN) and transmission system (TS) and the randomfuzzy nature of wind power injection, with multiobjectives of economic lowcarbon and lossreduction, with respect to steadystate security and based on randomfuzzy chance constraint programming, transmissiondistribution interaction multiobjective dynamic randomfuzzy optimal power flow model is established. Randomfuzzy power flow of transmissiondistribution system is calculated through the randomfuzzy simulation, Newton Ralph method and forwardbackward sweep method. Based on this and considering transmissiondistribution interaction power and voltage, Pareto optimal frontier of each time period is obtained through lookahead and NASAII, and the maximizingsatisfaction method is adopted in decisionmaking. An illustration case based on modified IEEE 30 transmission system and IEEE 33 distribution system verifies the feasibility and superiority of the proposed method.

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引用本文

左 剑,汤吉鸿,钟 伟,等.考虑输配交互的含风电场电力系统多目标动态随机模糊最优潮流[J].电力科学与技术学报,2020,35(1):50-60.
ZUO Jian, TANG Jihong, ZHONG Wei, et al. Multiobjective dynamic random fuzzy optimal power flow of wind integrated power system considering the interaction of transmissiondistribution system[J]. Journal of Electric Power Science and Technology,2020,35(1):50-60.

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