| 引用本文: | 邱星宇,吴毓峰,王梓耀,等.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.[点击复制] |
| QIU Xingyu,WU Yufeng,WANG Ziyao,et al.Optimal configuration method of microgrid capacity considering grid connection and islanding frequency constraints[J].Power System Protection and Control,2023,51(21):166-177[点击复制] |
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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 |
| 邱星宇1,2,吴毓峰1,2,王梓耀1,2,余涛1,2,王克英1,2,潘振宁1,2 |
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| (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) |
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| 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 |
| DOI：10.19783/j.cnki.pspc.230188 |
| 投稿时间：2023-02-25修订日期：2023-05-17 |
| 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) |
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| Optimal configuration method of microgrid capacity considering grid connection and islanding frequency constraints |
| QIU Xingyu1,2,WU Yufeng1,2,WANG Ziyao1,2,YU Tao1,2,WANG Keying1,2,PAN Zhenning1,2 |
| (1. School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China; 2. Guangdong
Provincial 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. |
| Key words: high permeability of new energy microgrid frequency constraints capacity optimization configuration |
