哈尔滨商业大学学报（自然科学版）2024，Vol.40Issue(2)：179-185,7.
基于蝙蝠优化算法的电力系统经济调度
Economic dispatch of power system based on bat optimization algorithm
摘要
Abstract
In view of the optimization and scheduling of the power system,an operation strategy based on the bat optimization algorithm was proposed,aiming to reduce the total fuel cost of the generator set and reduce the emission of pollutants.However,due to the complexity of constraints,general mathematical methods are difficult to solve this problem.Therefore,this paper adopted the optimized bat algorithm(NBA)to solve the problem of dynamic economic scheduling of the power system.In order to verify the performance of the optimized NBA algorithm,this paper optimized the scheduling of a power system containing 6 thermal power units,and simulates and tests the model in Matlab software.Taking the minimum operating cost as the target function,the constraint conditions include power balance constraint,maximum and minimum output constraint of thermal power unit,thermal power unit climbing constraint,network trend constraint,etc.,used the NBA algorithm to complete the optimization and scheduling decision-making task of the power system.The result showed that the optimized algorithm reduced pollution.At the same time,it reduced the cost of power generation and improved the benefits of normal power generation in the power system.关键词
电力系统/蝙蝠算法/优化调度/火电机组/运行成本Key words
power system/bat algorithm/optimized scheduling/thermal power unit/operating cost分类
信息技术与安全科学引用本文复制引用
朱宗玖,刘俊家..基于蝙蝠优化算法的电力系统经济调度[J].哈尔滨商业大学学报（自然科学版）,2024,40(2):179-185,7.基金项目
安徽省自然科学基金(1808085MF169) （1808085MF169）
安徽高校自然科学研究项目(KJ2018A0086) （KJ2018A0086）
