基于改进麻雀搜索算法的CCHP型微电网优化调度.pdf

2023.02 Computer Science and Technology 计算机科学与技术 于改进麻雀搜索算法的CCHP 型微电网优化调度 王汉宇 安徽理工大学袁 安徽淮南232000冤 摘 要 随着能量多级利用技术的发展袁 冷热电联供 CCHP冤 型微电网被广泛地应用袁 其能源间合适的出力 度显得极为 重要遥 传统的麻雀搜索算法 SSA冤 求解时易出现局部最优的问题袁 因此在麻雀搜索算法的基础上进行了改进遥 首先袁 为 提升种群的多样性袁 通过反向学习策略对种群进行了优化曰 其次袁 为了避免求解时算法陷入局部最优袁 通过纵横交叉策略 对寻优过程进行了优化曰 然后袁 以典型日 度运行一天成本最低为目标函数曰 最后袁 设定各出力源的爬坡约束尧 储能设备 的充放电效率等为约束条件袁 利用反向学习及纵横交叉策略改进后的麻雀搜索算法求解CCHP型微电网 度模型遥 对比传 统SSA尧 粒子群 PSO冤 和鲸鱼算法 WOA 冤 仿真结果发现改进的SSA在收敛速度和全局搜索能力上效果更优遥 关键词 微电网曰 冷热电联供曰 麻雀搜索算法曰 反向学习策略曰 纵横交叉策略 中国分类号 TM 73 文献标识码 A 文章编号 1003-0107 2023 冤 02-0005-04 doi:10.3969/j .issn.1003-0107.2023.02.002 CCHP Microgrid Optimal Dispatching Based on Improved Sparrow Search Algorithm WANG Hanyu 渊Anhui University of Science and Technology Huainan 232000 China 冤 Abstract 院 With the development of multi -level energy utilization technology the combined cooling heating and power 渊CCHP冤 microgrid is widely used and the appropriate output scheduling between its energy sources is ex tremely important. The traditional sparrow search algorithm 渊SSA冤 is easy to fall into local optimality. Therefore the SSA is improved. First in order to improve the diversity of the population the population is optimized through the re verse learning strategy. Then in order to avoid the algorithm falling into the local optimum during the solution the op timization process is optimized through the vertical and horizontal cross strategy. Then the objective function is to min imize the cost of a typical daily scheduling operation day. Finally the climbing constr