东北电力技术2023，Vol.44Issue(12)：1-8,8.
电-气-热综合能源系统多目标优化调度
Research on Multi-Objective Optimization Scheduling of Electricity-Gas-Thermal Integrated Energy Systems Based on Wind/Photovoltaic Power Accommodation
摘要
Abstract
The rapid development of renewable energy,represented by wind and solar power,however,it has the characteristics of randomness,volatility and intermittency.It not only increases the regulation pressure of conventional power supply,but also brings great challenges to the economic operation of power grid.Combined with the characteristics of the electric-gas-thermal integrated energy system and the complementarity among different energy sources,considering comprehensively the coupling relationship between differ-ent energy sources and the economic operation,a multi-objective optimization model is constructed to minimize the system operation cost and to maximize the wind/photovoltaic power accommodation.According to the proposed multi-objective model having the charac-ters of nonlinearity,non-differentiability,and multiple constraints,a hybrid non-dominated sorting genetic algorithm and multi-objec-tive particle swarm optimization(NSGA-II-MOPSO)algorithm is proposed.The approach incorporates crowding distance calculation,elite strategy-based sorting,and particle velocity and position updates to obtain the optimal Pareto front by improving the wind/photo-voltaic power accommodation and effectively reducing system operation costs.Finally,it is validated by the electric-gas-thermal IES 39-20-6 system.The simulation results demonstrate the correctness of the proposed model and the effectiveness of the algorithm.关键词
风光消纳/系统运行成本/混合优化算法/多目标优化/帕累托最优解Key words
wind/photovoltaic power accommodation/system operation cost/hybrid optimization algorithm/multi-objective optimi-zation/Pareto optimal solution分类
动力与电气工程引用本文复制引用
杨安全,赵清松,岳颖,刘刚,马辉..电-气-热综合能源系统多目标优化调度[J].东北电力技术,2023,44(12):1-8,8.基金项目
中国博士后科学基金面上项目(2020M683230) （2020M683230）
国家自然科学基金项目(52107108) （52107108）
