| 引用本文: | 邱明石,陈俊儒,刘牧阳,等.考虑纳网系统和微网运营商电价机制的主从博弈优化调度策略[J].电力系统保护与控制,2024,52(19):15-34.[点击复制] |
| QIU Mingshi,CHEN Junru,LIU Muyang,et al.A master-slave game optimization scheduling strategy considering the electricity pricing mechanism of nanogrid systems and microgrid operators[J].Power System Protection and Control,2024,52(19):15-34[点击复制] |
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| 摘要: |
| 伴随清洁能源逐渐渗透到微电网(微网)和纳米电网(纳网)用能单元，针对纳网-微网-主网之间的协同优化、清洁能源利用效率提升、清洁能源消纳促进以及用能经济性和可靠性等多方面的问题，提出了一种基于多主体博弈的两阶段优化调度策略，涵盖多元化交易和微网运营商电价机制。首先，建立了具有各自显著用能特点的多元纳米电网负荷模型，形成了支持多元纳米电网自主调度和纳网间电能交易的纳网系统模型。其次，考虑到电能供需的多样性，构建了不同供能场景下的微网运营商模型，并引入主网与运营商的竞争机制。在这一博弈模型中，微网运营商扮演领导者的角色，而纳网系统则作为跟随者，实现了一主一从的博弈均衡。通过优化微网运营商的出力方式，激发了纳网系统的用能潜力。最后，通过算例验证了所提出方案的合理性和有效性。该方案成功降低了纳网系统的运行成本，提升了微网系统对清洁能源的消纳能力，同时提升了综合收益的经济性。这一研究为微网和纳网的可持续发展提供了实用性和有效性的指导。 |
| 关键词: 多元化纳网 供能场景 主从博弈 微网运营商 微网系统 纳网-微网-主网间协同优化 |
| DOI：10.19783/j.cnki.pspc.231638 |
| 投稿时间：2023-12-23修订日期：2024-03-12 |
| 基金项目:国家自然科学基金项目资助(52266018)；源网荷储智慧能量管理关键技术研发自治区重点研发专项(2022B01016) |
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| A master-slave game optimization scheduling strategy considering the electricity pricing mechanism of nanogrid systems and microgrid operators |
| QIU Mingshi,CHEN Junru,LIU Muyang,WANG Jing |
| (School of Electrical Engineering, Xinjiang University, Urumqi 830017, China) |
| Abstract: |
| With the gradual penetration of clean energy into microgrids and nanogrids, a two-stage optimization scheduling strategy based on multi-agent game theory is proposed to address various issues such as collaborative optimization among nanogrids, microgrids, and main grids, improvement of clean energy utilization efficiency, promotion of clean energy consumption, and economic reliability of energy use. This strategy covers diversified trading and microgrid operator pricing mechanisms. First, multiple nanogrid load models with significant energy consumption characteristics are established, forming a nanogrid system model that supports autonomous scheduling of multiple nanogrids and energy trading between them. Secondly, considering the diversity of electricity supply and demand, a microgrid operator model is constructed for different energy supply scenarios, and a competition mechanism between the main network and the operator is introduced. In this game model, microgrid operators play the role of leaders, while the network management system acts as followers, achieving a game equilibrium of one master and one slave. By optimizing the output methods of microgrid operators, the energy potential of nanogrid systems is stimulated. Finally, the rationality and effectiveness of the proposed scheme are verified through numerical examples. This scheme has successfully reduced the operating cost of the nanogrid system, improved the clean energy consumption capacity of the microgrid system, and increased economic efficiency. It provides practical and effective guidance for the sustainable development of microgrids and nanogrids. |
| Key words: diversified nanogrid energy supply scenarios master-slave game microgrid operators microgrid system collaborative optimization between nanogrids, microgrids, and main grid |
