Xinjiang Oil & Gas ›› 2025, Vol. 21 ›› Issue (3): 41-49.DOI: 10.12388/j.issn.1673-2677.2025.03.005

• NEW ENERGY • Previous Articles     Next Articles

Design of Capacity Matching Model for Microgrid Wind-Solar-Storage Considering Equipment Selection

Chen Honghu1, Li Zhi1, Wang Yongping1, Huang Lin2, Wang Yong1, ZhouTe3   

  1. 1.Tianfu Yongxing Laboratory，Chengdu 610000，Sichuan，China； 2.Information & Telecommunication Company，State Grid Sichuan Electric Power Company，Chengdu 610000，Sichuan； 3.Department of Electrical Engineering，Tsinghua University，Haidian 100084，Beijing，China
  • Received:2025-05-06 Revised:2025-06-19 Accepted:2025-07-02 Online:2025-09-05 Published:2025-09-05

计及设备选型的微电网风光储容量匹配模型设计

陈红湖1，李治1，王永平1，黄林2，王勇1，周特3
  

  1. 1.天府永兴实验室，四川成都 610000； 2.国网四川省电力公司信息通信公司，四川成都 610000； 3.清华大学电机工程与应用电子技术系，北京海淀 100084
  • 作者简介:陈红湖（1998-），2023年毕业于西南科技大学电子信息专业，硕士，助理工程师，目前从事配电网/微电网规划研究。（E-mail）chenhonghu@foxmail.com
  • 基金资助:

    天府永兴实验室有组织科研项目“变频空调集群功率动态响应下高水电占比电网频率稳定控制研究”（2023CXXM13）

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Abstract:

As an essential link connecting resource potential and practical applications，the planning and design of microgrid，especially the rational configuration of the models and capacities of wind turbines，photovoltaic （PV） panels，and energy storage systems，is particularly crucial. To meet the load demand and reduce both investment costs and annual average comprehensive costs of microgrid，an economic capacity matching model considering the joint model selection of wind turbines，PV panels and energy storage equipment is proposed. Firstly，a microgrid system model is constructed，which includes wind turbines，PV panels，and energy storage. Secondly，a mixed integer linear programming model is designed with the objective function of minimal comprehensive costs of micro-grids is developed，which incorporates equipment selection constraints，capacity constraints，operation constraints，and power and energy balance constraints. Finally，the optimal equipment model combination and capacity configuration scheme are obtained using a commercial solver. The case study shows that compared with the benchmark schemes 2 and 3，the optimized scheme 1 reduces the investment cost by 21.01% and 17.25% respectively，and the comprehensive cost by 18.6% and 14.81% respectively，while meeting the same load demand. Therefore，the results prove that the proposed model can effectively accomplish the economic selection of equipment and capacity matching，reduce the investment cost and annual average comprehensive cost of microgrid，and provide the theoretical basis and technical support for the planning and design of microgrid.

Key words:

microgrid, equipment selection, capacity matching, operation optimization, mixed integer linear programming (MILP)

摘要：

微电网规划设计是连接资源潜力与落地应用的核心环节，如何合理配置风机、光伏与储能的型号和容量尤为关键。为保障负荷需求及降低微电网投资成本与年均综合成本，提出了一种计及风光储设备联合选型的经济性容量匹配模型。首先构建含风机、光伏、储能的微电网系统模型；其次设计以微电网综合成本最小化为目标函数，涵盖设备选型约束、容量约束、运行约束及电力电量平衡约束的混合整数线性规划模型；最终采用商业求解器计算得出最优设备型号组合与容量配置方案。算例分析显示，优化方案1较基准方案2、方案3，在满足同等负荷需求下，投资成本分别降低了21.01%、17.25%，综合成本分别降低了18.6%、14.81%。证明所提模型可有效实现设备经济性选型与容量匹配，显著降低了微电网投资成本与年均综合成本，可为微电网规划设计提供理论依据与技术支撑。

关键词:

微电网, 设备选型, 容量匹配, 运行优化, 混合整数线性规划

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