基于改进蚱蜢算法的微电网多目标环境经济调度问题
The multi-objective economic environment dispatch problem of microgrid based on improved grasshopper optimization algorithm
王隔霞 1王军平 1孙明杨 1张启航1
作者信息
- 1. 上海电力大学数理学院,上海 201306
- 折叠
摘要
节能减排是降低环境污染、能源可持续发展的必由之路,因此微电网的多目标经济调度问题受到广泛关注.考虑阀点效应、出力约束、网络损耗、电力平衡等多种约束的经济调度问题是一类非凸优化问题,在数学上很难处理.基于蚱蜢算法,考虑了一类包含阀点效应在内的多约束多目标经济调度问题.为防止蚱蜢算法陷入局部最优及提高搜索能力,提出了弦函数的方法.同时,为解决非线性的电力平衡约束,采用解方程组的方法处理此约束.选出一组10个发电机的案例验证了改进的蚱蜢算法的有效性,并与其他算法进行了比较.结果表明:在满足各种约束下,改进的蚱蜢算法可以取得更优的燃料成本和排放量.
Abstract
To reduce environment pollution,energy saving and emission reduction are necessary for sustainable development.Therefore,the multi-objective economic environment dispatch problem of microgrids has mainly been focused on.However,it is hard to solve in mathematics for the economic dispatch problem with multi-constraints,including power operating limits,valve point effect,network loss,and power balance,due to the complexity of the non-convex optimization.The multi-objective economic environment dispatch problem including valve point effect is considered based on the grasshopper algorithm.To avoid getting stuck in a local optimum of the grasshopper algorithm and improve the search ability,the sine function is introduced into the algorithm.In addition,the method of solving the algebra equation is used to handle the nonlinear power balance constraint.A 10-unit test system is selected to verify the effectiveness of the improved grasshopper algorithm,which is compared with other algorithms.The results show that the improved grasshopper algorithm can achieve better fuel cost and emissions if the various constraints are satisfied.
关键词
多目标经济调度/蚱蜢算法/阀点效应/网络损耗Key words
multi-objective economic dispatch/grasshopper algorithm/valve point effect/network loss引用本文复制引用
出版年
2024
NETL
NSTL
万方数据