电力建设2025，Vol.46Issue(10)：73-87,15.DOI:10.12204/j.issn.1000-7229.2025.10.007
含沼气能发电的农村多微网系统容量配置双层优化模型
Dual Layer Optimization Model for Capacity Configuration of Rural Multi-Microgrid System with Biogas Energy Generation
摘要
Abstract
[Objective]To solve the problem of new energy system capacity allocation in rural areas,respond to the requirements of rural revitalization and low carbon,and improve the rate of renewable energy consumption,a microgrid system capacity allocation method based on the interaction between sub-microgrids and considering biogas energy generation are proposed.[Methods]First,the structure of rural multi-microgrids was analyzed,and a multi-microgrid system model for biogas energy generation containing an inter-microgrid energy scheduling strategy was established.Subsequently,a two-layer model for capacity allocation and operation co-optimization of a multi-microgrid system incorporating biogas generation was established.The upper-level objective is to minimize the annual integrated cost of the multi-microgrid system while maximizing the utilization of renewable energy sources.Contrarily,the lower-level objective is to minimize the operating cost of the system.The model was solved using a particle swarm optimization algorithm combined with the CPLEX solver.To ensure fair cost allocation among microgrids,the Shapley value method was employed.[Results]Matlab simulation results and example analyses show that the proposed introduction of biogas energy as a power generation unit can increase the penetration rate of new energy.The proposed rural inter-microgrid power interaction effectively reduced the overall capacity allocation of the new energy and energy storage,thereby lowering the annual investment cost.It also decreased the cost of purchasing external power by 9%,although the amount of power sales was correspondingly reduced.The microgrid cost was apportioned using the Shapley value method,and the actual cost of each microgrid was reduced by 6.3%,2%,and 4%,compared to the scenario of independent operation.Using the Shapley value method to apportion the costs of the microgrids,the actual costs of each microgrid were reduced by 6.3%,2%,and 4.4%,compared with scenarios in which the microgrids were operated independently.[Conclusions]The proposed two-layer optimization model for the capacity allocation of rural multi-microgrid systems containing biogas energy generation resulted in lower annual integrated costs,reduced carbon emissions,increased internal consumption of new energy sources,and reduced dependence on the grid on the rural load side,which can achieve both economic and environmental friendliness.关键词
农村多微网/沼气能/双层优化/粒子群算法/成本分摊Key words
rural multi microgrid/biogas energy/double-layer optimization/particle swarm algorithm/cost sharing分类
信息技术与安全科学引用本文复制引用
张金良,程佳..含沼气能发电的农村多微网系统容量配置双层优化模型[J].电力建设,2025,46(10):73-87,15.基金项目
国家自然科学基金项目(72342007) （72342007）
中央高校基本科研业务费专项资金资助(2023FR001) This work is supported by the National Natural Science Foundation of China(No.72342007)and the Fundamental Reasearch Funds for the Central Universities(No.2023FR001). （2023FR001）
