综合智慧能源 ›› 2025, Vol. 47 ›› Issue (12): 57-65.doi: 10.3969/j.issn.2097-0706.2025.12.006

• 储能与多能耦合 • 上一篇    下一篇

计及储能运营商的工业园区微网协同优化运行研究

李梦露1(), 德格吉日夫2()   

  1. 1.国网江苏省电力有限公司扬州供电分公司,江苏 扬州 225000
    2.电力规划设计总院,北京 100032
  • 收稿日期:2025-08-14 修回日期:2025-10-23 出版日期:2025-12-25
  • 作者简介:李梦露(1995),女,工程师,硕士,从事综合能源系统优化、电网技术经济等方面的研究, 18800161023@163.com
    德格吉日夫(1988),男,高级工程师,博士,从事新能源配置储能优化方面的研究,dove2021@126.com
  • 基金资助:
    国网江苏省电力有限公司科技项目(J2024038)

Research on coordinated optimized operation of microgrids in industrial parks considering energy storage operators

LI Menglu1(), Degejirifu 2()   

  1. 1. State Grid Jiangsu Electric Power Company Limited, Yangzhou Power Supply Branch, Yangzhou 225000, China
    2. China Electric Power Planning & Engineering Institute, Beijing 100032, China
  • Received:2025-08-14 Revised:2025-10-23 Published:2025-12-25
  • Supported by:
    Science and Technology Project of State Grid Jiangsu Electric Power Company Limited(J2024038)

摘要:

工业园区新能源场站配建的储能长期缺乏有效的市场盈利模式,利用率不高,经济性较差,而独立的储能运营商可灵活参与电力市场交易,符合技术安全标准的储能运营商能提升工业园区多个子微网的经济效益。提出了一种计及统一储能运营商的园区多微网协同运行优化模型。根据出力特征、拓扑结构等构建系统运行架构并分析运营模式,采用K-means聚类解决风光出力的不确定性问题,建立园区内微网协同优化运行模型,采用分支定界法对模型进行求解,对比粒子群算法和遗传算法,验证了其求解效率和求解精度的优势。算例结果表明,计及统一储能运营商的园区内微电网能有效提高主体及总体的经济收益,储能运营商收益明显提升,有效解决了新能源消纳问题并降低了对配电网的依赖,为统一储能运营商管理下的微电网运行调度提供了可量化的决策依据。

关键词: 工业园区, 微电网, 综合能源, 独立储能运营商, 电力市场交易, 协同优化, 分支定界法, 新能源消纳

Abstract:

Energy storage systems co-located with renewable energy stations in industrial parks generally lack effective market-based profitability models, resulting in low utilization rates and poor economic performance. In contrast, independent energy storage operators can flexibly participate in electricity market trading. Energy storage operators that meet technical and safety standards can enhance the overall economic efficiency of multiple sub-microgrid centers within industrial parks. A coordinated optimized operation model for multi-microgrids in industrial parks, considering the participation of unified energy storage operators, was proposed. Based on factors such as power output characteristics and topological structure, the system operation architecture was constructed, and the operational modes were analyzed. K-means clustering was employed to address the uncertainties in wind and solar power output. A coordinated optimized operation model for microgrids within industrial parks was established, and the branch and bound method was applied to solve the model. Comparisons with particle swarm optimization and genetic algorithms demonstrated its advantages in solution efficiency and accuracy. The case study results demonstrated that microgrids within industrial parks, considering unified energy storage operators, could effectively increase economic benefits for both individual entities and the overall system. This approach significantly increased the revenues of energy storage operators, effectively addressed the issues of renewable energy consumption, and reduced dependence on the distribution network, providing a quantifiable decision-making basis for microgrid operation and scheduling under unified energy storage operator management.

Key words: industrial park, microgrid, integrated energy, independent energy storage operator, electricity market trading, coordinated optimization, branch and bound method, renewable energy consumption

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