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计及并离网频率约束的微电网容量优化配置方法
引用本文:邱星宇,吴毓峰,王梓耀,余 涛,王克英,潘振宁. 计及并离网频率约束的微电网容量优化配置方法[J]. 电力系统保护与控制, 2023, 51(21): 166-177
作者姓名:邱星宇  吴毓峰  王梓耀  余 涛  王克英  潘振宁
作者单位:1.华南理工大学电力学院,广东 广州 510641;2.广东省电网智能量测与先进计量企业重点实验室,广东 广州 510640
基金项目:国家自然科学基金项目资助(52207105);广东省基础与应用基础研究基金项目资助(2023A1515011598)
摘    要:在新能源渗透率不断提升的背景下,微电网出现低惯量、弱阻尼的现象。现有研究主要通过改进控制策略、优化调度来提升微电网调频能力,但前提是微电网本身具有足够的调频容量。针对此问题,在微电网规划阶段加入并网和离网模式频率约束,建立混合整数线性容量优化模型。首先,对微电网内多种调频资源进行建模,构建综合频率响应模型并推导频率约束。其次,采用改进的自适应线性化方法将频率约束线性化并嵌入到模型中。最后,使用Gurobi求解器在多个微电网算例中进行验证分析,结果表明所提出的微电网容量优化配置模型能够在保证系统并网和离网频率稳定的同时达到最低的投建与运行成本。

关 键 词:高渗透率;微电网;频率约束;容量优化配置
收稿时间:2023-02-25
修稿时间:2023-05-17

Optimal configuration method of microgrid capacity considering grid connection and islanding frequency constraints
QIU Xingyu,WU Yufeng,WANG Ziyao,YU Tao,WANG Keying,PAN Zhenning. Optimal configuration method of microgrid capacity considering grid connection and islanding frequency constraints[J]. Power System Protection and Control, 2023, 51(21): 166-177
Authors:QIU Xingyu  WU Yufeng  WANG Ziyao  YU Tao  WANG Keying  PAN Zhenning
Affiliation:1. School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China; 2. GuangdongProvincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, Guangzhou 510640, China
Abstract:Against the backdrop of continuously increasing penetration of new energy, the phenomenon of low inertia and weak damping has emerged in microgrids. Existing research mainly improves the frequency regulation capability of microgrids by improving control strategies and optimizing scheduling, but the premise is that the microgrid itself has sufficient frequency regulation capacity. In response to this issue, this paper incorporates frequency constraints in grid connection and off grid modes during the microgrid planning phase, and establishes a mixed integer linear capacity optimization model. First, this paper models multiple frequency modulation resources within the microgrid, constructs a comprehensive frequency response model, and derives frequency constraints. Second, an improved adaptive linearization method is used to linearize the frequency constraint and embed it into the model. Finally, the Gurobi solver is used to validate and analyze multiple microgrid examples, and the results show that the proposed microgrid capacity optimization configuration model can achieve the lowest construction and operation costs while ensuring the stability of system grid connection and off grid frequencies.
Keywords:high permeability of new energy   microgrid   frequency constraints   capacity optimization configuration
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