采用Koisi-CHHO算法的虚拟电厂经济调度策略  

Virtual Power Plant Economic Scheduling Strategy Based on Koisi-CHHO Algorithm

作　　者：周孟然[1] 吴长臻 胡锋 朱梓伟 孔伟乐 ZHOU Mengran;WU Changzhen;HU Feng;ZHU Ziwei;KONG Weile(School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan Anhui 232001,China)

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001

出　　处：《佳木斯大学学报(自然科学版)》2025年第2期1-4,共4页Journal of Jiamusi University:Natural Science Edition

基　　金：国家自然科学基金(52374177);安徽省自然科学基金能源互联网联合基金重点项目(2008085UD06);国网安徽电力有限公司科技项目(B312H023000L);安徽理工大学研究生创新基金(2023cx2101)。

摘　　要：随着我国新型电力系统建设的不断推进,虚拟电厂通过有效聚合分布式能源,已成为实现低碳发展的重要途径。为减少虚拟电厂的成本,而提出了一种基于分时电价策略和碳交易策略的虚拟电厂优化调度策略。首先,建立虚拟电厂的最低总体成本模型,引入影响策略,深入分析了策略对虚拟电厂运营的影响,并采用改进的哈里斯鹰优化算法求解该优化问题,通过算例仿真验证了模型和算法的有效性。在算例中,分布式电源以风光为主,引入分时电价策略和碳交易策略后,总体成本减少了40.83%。With the continuous advancement of the construction of China's new power system,virtual power plant has become an important way to achieve low-carbon development by effectively aggregating distributed energy.In order to reduce the cost of virtual power plant,an optimal scheduling strategy of virtual power plant based on TOU and carbon trading strategy is proposed.Firstly,the minimum total cost model of virtual power plant is established,the influence strategy is introduced,and the influence of the strategy on the operation of virtual power plant is deeply analyzed,and the improved Harris Eagle optimization algorithm is used to solve the optimization problem.In the calculation example,the distributed power supply is dominated by wind and wind,and the overall cost is reduced by 40.83%after the introduction of TOU and carbon trading strategies.

关 键 词：虚拟电厂 分时电价 碳交易 Koisi-CHHO算法 

分 类 号：TK018[动力工程及工程热物理]