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文章摘要
基于改进多目标灰狼算法的冷热电联供型微电网运行优化
Optimization of CCHP micro-grid operation based on improved multi-objective grey wolf algorithm
Received:May 29, 2020  Revised:June 18, 2020
DOI:DOI: 10.19753/j.issn1001-1390.2022.06.002
中文关键词: 冷热电联供  微电网  Pareto最优  多目标灰狼优化算法
英文关键词: CCHP, micro-grid, Pareto optimal, multi-objective grey wolf optimization algorithm
基金项目:
Author NameAffiliationE-mail
Qi Yan* Electric Power Research Institute,State Grid Tianjin Electric Power Company 863295838@qq.com 
Shang Xuejun Electric Power Research Institute,State Grid Tianjin Electric Power Company xuejun.shang@tj.sgcc.com.cn 
Nie Jingyu State Key Laboratory of Engines,Tianjin University 863295838@qq.com 
Huo Xianxu Electric Power Research Institute,State Grid Tianjin Electric Power Company xianxu.huo@tj.sgcc.com.cn 
Wu Binyang State Key Laboratory of Engines,Tianjin University 863295838@qq.com 
Su Wanhua State Key Laboratory of Engines,Tianjin University 863295838@qq.com 
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中文摘要:
      针对冷热电联供型微电网运行调度的优化问题,为实现节能减排的目标,以微电网运行费用和环境污染成本为优化目标,建立了包含风机、微型燃气轮机、余热锅炉、溴化锂吸收式制冷机等微源的微电网优化模型。模型的优化求解使用改进的多目标灰狼优化算法,得到多目标问题的Pareto最优解集,并针对微电网优化问题约束条件较多,算法前期探索能力不足的问题,对算法进行改进。仿真结果表明,改进算法的求解速度和全局搜索性能优于原始算法,文中方法可以为冷热电联供型微电网优化调度提供建议,实现根据用户需求的微电网灵活调动,达到减少运行费用和污染气体排放的效果。
英文摘要:
      Aimed at the optimization of operation and dispatching for CCHP micro-grid, in order to achieve the goal of energy saving and emission reduction, the micro-grid operating costs and environmental pollution costs were taken as optimization objectives, a micro-grid optimization model including wind turbine, micro-turbine, waste heat boiler and lithium bromide absorption chiller was established. The multi-objective gray wolf optimization algorithm was adopted to solve the optimization model to obtain the Pareto optimal solution set of the multi-objective problem, and to improve the algorithm for the problems that the micro-grid optimization problem has many constraints and the early exploration ability of the algorithm is insufficient. Simulation results show that the improved algorithm has better solution speed and global search performance than the original algorithm. The method proposed in this paper can provide suggestions for optimal dispatch of CCHP micro-grids, achieve flexible deployment of micro-grids according to the requirement of users, and achieve the goals of reducing operating costs and polluting gas emissions.
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