能量-旋转备用市场下多综合能源园区多能资源组合与联合调度策略

Collaborative Optimization Strategy for Multi-energy Resources Portfolio and Joint Dispatch of Multiple Community-level Integrated Energy Systems in Energy and Spinning Reserve Markets

  • 摘要: 在双碳背景下,综合能源园区(Community-level integrated energy system, CIES)是提升能源利用效率、降低碳排放等多重效益的重要途经。针对当前综合能源园区参与电能量市场与旋转备用市场的研究中,大多忽略了实践中存在的旋转备用市场准入资格,且小型运营商难以满足旋转备用市场设立的资格要求问题,提出一种考虑多园区运营商合作竞标以满足备用市场最小功率要求与最短时长要求的策略。首先,构建考虑旋转备用市场准入资格的两阶段资源组合模型;然后,建立包含多种不合格备用资源、以多综合能源园区总运营成本最小为目标函数,并将上述资源组合模型嵌入的经济优化运行模型。最后,通过算例对比分析考虑不同园区的资源组合对系统优化的影响。结果表明,所建立的考虑旋转备用市场准入资格的资源组合模型可以有效降低系统运营成本,验证了所提模式的有效性与经济性。

     

    Abstract: Against the backdrop of carbon neutrality and carbon peaking goals, the community-level integrated energy system(CIES) serves as a crucial pathway to improving energy efficiency and reducing carbon emissions, among other benefits. In existing research on the participation of CIES in energy market and spinning reserve market, the issue of market entry qualifications for spinning reserve market is often overlooked and the difficulty that small operators face in meeting the qualification requirements established by the spinning reserve market. A strategy that considers cooperative bidding among multiple CIES operators to meet the minimum power and duration requirements of the reserve market is proposed. First, a two-stage resource scheduling model is developed, taking into account the entry qualifications for the spinning reserve market. Then, an economic optimization model for multiple community-level integrated energy systems(MCIES) is established, aiming at the economic optimality of the MCIES, and embedding the aforementioned resource scheduling model, which includes various reserve resources. Finally, a case study is conducted to analyze the impact of considering resource combinations across different communities on system optimization. The results indicate that the proposed resource scheduling model, which includes spinning reserve market entry qualifications, can effectively reduce MCIES operating costs, demonstrating the effectiveness and feasibility of the proposed approach.

     

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