引用本文: | 杨文新,杨旭海,张 茜,等.基于博弈交叉效率评估的农业园区多能源系统优化调度[J].电力系统保护与控制,2025,53(18):154-164.[点击复制] |
YANG Wenxin,YANG Xuhai,ZHANG Qian,et al.Optimal scheduling of multi-energy systems in agricultural parks based on game cross-efficiency evaluation[J].Power System Protection and Control,2025,53(18):154-164[点击复制] |
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摘要: |
随着现代农业园区能源需求的增长以及对可持续发展的追求,实现其高效、经济和环保运行成为亟待解决的问题。因此,提出了一种基于博弈交叉效率评估的农业园区多能源系统优化调度方法,旨在提升多能源系统机组的运行效率。首先,从生物质燃料的能源特性出发,建立生物质热电联产模型。同时,考虑氢能的特点和能源特性,建立氢能产-储-用模型。其次,基于交叉效率构建博弈交叉效率评估模型,根据多能源系统机组参评指标求解各个机组效率值。然后,构建效率项,以系统运行成本项、环境成本项、效率项作为目标函数建立优化调度模型,并使用求解器CPLEX进行求解。算例结果表明,所提策略能有效提升多能源系统机组的运行效率。 |
关键词: 博弈交叉效率 生物质发电 多能源系统 氢储能 优化调度 |
DOI:10.19783/j.cnki.pspc.241436 |
投稿时间:2024-10-29修订日期:2025-02-12 |
基金项目:国家自然科学基金项目资助(32360605);兵团核心技术攻关项目资助(2023AA503) |
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Optimal scheduling of multi-energy systems in agricultural parks based on game cross-efficiency evaluation |
YANG Wenxin1,YANG Xuhai1,2,ZHANG Qian1,2,ZHOU Xiang1,FANG Jiahong1,WU Yuhong1 |
(1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; 2. Key Laboratory of
Northwest Agricultural Equipment of the Ministry of Agriculture and Rural Affairs, Shihezi 832003, China) |
Abstract: |
With the growing energy demand in modern agricultural parks and the pursuit of sustainable development, achieving efficient, economical, and environmentally friendly operations has become an urgent issue. To this end, an optimization scheduling method for multi-energy systems in agricultural parks based on game cross-efficiency evaluation is proposed to enhance the operational efficiency of multi-energy system units. First, a biomass combined heat and power (CHP) model is established considering the energy characteristics of biomass fuels. At the same time, a hydrogen production-storage-utilization model is developed taking into account the properties and energy features of hydrogen. Subsequently, a game cross-efficiency evaluation model is constructed based on cross-efficiency, through which the efficiency values of each multi-energy unit are calculated according to the evaluation indicators. Then, by incorporating efficiency into the objective function together with system operating cost and environmental cost, an optimization scheduling model is formulated and solved using the CPLEX solver. Case study results demonstrate that the proposed strategy effectively enhances the operational efficiency of multi-energy system units. |
Key words: game cross-efficiency biomass power generation multi-energy system hydrogen storage optimal scheduling |