引用本文: | 雷 杨,雷泽雨,杭 俊,等.考虑生物质交易的乡村能源系统多主体协同规划[J].电力系统保护与控制,2025,53(12):13-23.[点击复制] |
LEI Yang,LEI Zeyu,HANG Jun,et al.Multi-agent collaborative planning of rural energy system considering biomass trading[J].Power System Protection and Control,2025,53(12):13-23[点击复制] |
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考虑生物质交易的乡村能源系统多主体协同规划 |
雷杨1,2,雷泽雨1,2,杭俊1,2,丁石川1,2,王丹3,郭小璇4,鲍海波5 |
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(1.安徽大学电气工程与自动化学院,安徽 合肥 230601;2.教育部电能质量工程研究中心(安徽大学),
安徽 合肥 230601;3.智能电网教育部重点实验室(天津大学),天津 300072;4.广西电网有限责任公司
电力科学研究院,广西 南宁 530023;5.广西电网有限责任公司南宁供电局,广西 南宁 530031) |
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摘要: |
生物质能作为一种可调度的资源参与到能源市场的交互竞争中,对乡村能源系统的资源合理调度和协同规划运营具有重要意义。此背景下提出了一种考虑生物质交易的乡村能源系统多主体协同规划方法。首先,建立乡村能源系统多主体协同规划模型框架,分析乡村地区农业生物质的季节特性,并构建了生物质可用量模型和沼气站的产气量模型。接着,根据各主体的利益诉求与交易模式,构建乡村综合能源系统运营商和抽水蓄能电站运营商的目标函数和约束模型。然后,利用纳什谈判理论求解协同规划模型,求解出能源系统的规划方案与交易机制。最后,选取广西某乡村案例数据,通过仿真验证所提方法的有效性。结果表明,所提方法能够发挥各主体的主动性,充分调度生物质资源,实现乡村能源系统内多主体的协同规划运营,有效保障了各主体的利益。 |
关键词: 乡村能源系统 生物质交易 纳什谈判 协同规划 |
DOI:10.19783/j.cnki.pspc.241150 |
投稿时间:2024-08-30修订日期:2025-01-25 |
基金项目:国家自然科学基金项目资助(52407074,52377034);安徽省自然科学基金项目资助(2308085QE177);安徽省教育厅高校自然科学重点科研项目资助(2023AH050092) |
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Multi-agent collaborative planning of rural energy system considering biomass trading |
LEI Yang1,2,LEI Zeyu1,2,HANG Jun1,2,DING Shichuan1,2,WANG Dan3,GUO Xiaoxuan4,BAO Haibo5 |
(1. School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China; 2. Power Quality Engineering
Research Center of Ministry of Education (Anhui University), Hefei 230601, China; 3. Key Laboratory of Smart Grid,
Ministry of Education (Tianjin University), Tianjin 300072, China; 4. Electric Power Research Institute, Guangxi
Power Grid Co., Ltd., Nanning 530023, China; 5. Nanning Power Supply Bureau,
Guangxi Power Grid Co., Ltd., Nanning 530031, China) |
Abstract: |
As a dispatchable resource, biomass energy plays a significant role in the rational resource scheduling and cooperative planning and operation of rural energy systems by participating in the interactive competition of energy markets. Against this background, a multi-agent collaborative planning method for rural energy systems considering biomass trading is proposed. First, a framework for multi-agent collaborative planning in rural energy systems is established. The seasonal characteristics of agricultural biomass in rural areas are analyzed, and models for biomass availability and gas production in biogas station are constructed. Then, according to the interests and trading modes of different stakeholders, objective functions and constraint models are formulated for rural integrated energy system operators and pumped storage power station operators. The Nash bargaining theory is used to solve the collaborative planning model, determining the energy system planning scheme and trading mechanism. Finally, a case study using data from a rural area in Guangxi is conducted to verify the effectiveness of the proposed method through simulation. Results show that the proposed method can stimulate the initiative of each agent, fully dispatch biomass resources, and achieve cooperated planning and operation among multiple stakeholders within the rural energy system, effectively safeguarding the interests of all parties. |
Key words: rural energy system biomass trading Nash negotiation collaborative planning |