考虑新能源多重相关性的柔性配电网分布鲁棒优化策略  

Distributionally Robust Operation for Flexible Distribution Networks Considering Multi-correlation of Renewable Power Generation

作　　者：刘志伟[1] 马悦 沙志成[1] 邵云姝 牛远方[1] 董晓明[2] 王成福[2] LIU Zhiwei;MA Yue;SHA Zhicheng;SHAO Yunshu;NIU Yuanfang;DONG Xiaoming;WANG Chengfu(Shandong Electric Power Engineering Consulting Institute Corporation Limited,Jinan 250013,China;School of Electrical Engineering,Shandong University,Jinan 250061,China;College of Business Administration,Korea University,Seorl 02841,South Korea)

机构地区：[1]山东电力工程咨询院有限公司,山东济南250013 [2]山东大学电气工程学院,山东济南250061 [3]韩国高丽大学经济学院,韩国首尔02841

出　　处：《中国电力》2024年第12期97-108,共12页Electric Power

基　　金：国家自然科学基金资助项目(U 2166208,52377108)。

摘　　要：高比例分布式新能源与全控型柔性电力电子元器件的大量接入,给传统配电网带来更多清洁电能与调控选择的同时,其出力的时空分布不均衡性与海量器件调节的复杂性,亦使得配电网的运行面临严峻挑战。对此,提出了一种考虑新能源多重相关性的柔性配电网分布鲁棒优化策略。首先,以配电网有功损耗与电压偏移最小为目标,推导并构建含多种源网荷协同调控措施的柔性配电网最优潮流模型。然后,计及新能源在时间空间与功率维度上的多重相关性,建立了基于数据驱动的柔性配电网两阶段分布鲁棒优化模型,采用1-范数与∞-范数进行源荷不确定性集合描述,并采用二阶锥将其线性化与凸松弛。最后,采用列与约束生成算法对该模型进行求解,并以改进的IEEE 33节点测试系统为例进行仿真分析,验证了该方法的有效性和实用性。The integration of a high proportion of distributed renewable energy sources(DRES)and a substantial number of fully controllable flexible power electronic devices has brought more clean electrical energy and control options to traditional distribution networks.However,the uneven temporal and spatial distribution of their output power and the complexity of regulating a vast number of devices pose significant challenges to the operation of distribution networks.In response to this,a distributionally robust optimization strategy for flexible distribution networks,considering the multiple correlations of renewable energy,is proposed.Firstly,aiming to minimize active power loss and voltage deviation in the distribution network,an optimal power flow model for flexible distribution networks is derived and constructed,incorporating various coordinated control measures for sources,grids and loads.Secondly,taking into account the multiple correlations of renewable energy in terms of time,space and power dimensions,a two-stage distributionally robust optimization model for flexible distribution networks is established based on data-driven approaches.The 1-norm and∞-norm are employed to describe the uncertainty sets of sources and loads,and second-order cones are utilized for linearization and convex relaxation.Finally,the column and constraint generation algorithm is adopted to solve the model,and a simulation analysis is conducted using an improved IEEE 33-bus test system as an example,verifying the effectiveness and practicality of the proposed method.

关 键 词：柔性配电网 新能源 分布鲁棒优化 数据驱动 二阶锥规划 列与约束生成算法 

分 类 号：TM73[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]