摘要
文章提出基于改进猴群算法的新能源日内调度优化模型.首先,以功率平衡约束和常规机组约束为条件,以日前新能源外送电量最大和常规机组运行成本最小为目标函数,通过NSGA-Ⅱ算法得出一组Pareto最优折衷解.在日前最优折衷解的基础上以常规机组约束和新能源出力约束以及输送通道约束为条件,以最大新能源外送日消纳功率为目标函数,建立改进猴群算法的日内调度优化模型.最后,通过某电网实际运行数据为基础,验证了该改进算法的可行性和有效性.
This article proposes a new energy intra-day scheduling optimization model based on improved monkey algorithm.Firstly,taking power balance constraints and conventional unit constraints as conditions,with the objective function of maximizing the current amount of new energy transmission and minimizing the operating costs of conventional units,a set of Pareto optimal compromise solutions is obtained through the NSGA-II algorithm.On the basis of the recent optimal compromise solution,with conventional unit constraints,new energy output constraints,and transmission channel constraints as conditions,and the maximum daily consumption power of new energy delivery as the objective function,an improved monkey algorithm for intra-day scheduling optimization model is established.Finally,the feasibility and effectiveness of the improved algorithm are verified based on actual operating data of a certain power grid.
作者
刘晓丽
王鹏霄
牟意红
LIU Xiaoli;WANG Pengxiao;MOU Yihong(School of Electronic and Electrical Engineering,Lanzhou Petrochemical Vocational and Technical University,Lanzhou Gansu 730060;State Grid Dingxi Power Supply Company,Dingxi Gansu 743000;State Grid Lanzhou Power Supply Company,Lanzhou Gansu 730070)
出处
《甘肃高师学报》
2024年第5期12-17,共6页
Journal of Gansu Normal Colleges
基金
甘肃省教育厅创新基金项目“甘肃地区新能源集群并网中能源外送调度优化研究”(2023B-283)。
关键词
新能源
消纳能力
猴群算法
日内调度
new energy
consumability
monkey algorithm
intra-day scheduling
