采用改进型智能水滴算法的电力环境经济调度  

Improved Intelligent Water Drops Algorithm Applied to Power Economic Emission Dispatch

作　　者：赵文清[1] 覃智补 Zhao Wenqing;Qin Zhibu(Department of Computer Science,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华北电力大学计算机系,河北保定071003

出　　处：《系统仿真学报》2018年第8期3213-3218,共6页Journal of System Simulation

基　　金：国家自然科学基金(61074078)

摘　　要：电力环境经济调度多目标优化旨在将发电的经济成本与污染气体排放降到最低。针对智能水滴算法在连续优化过程中搜索性能较低、容易陷入局部最优解的问题,提出一种基于模拟退火的智能水滴算法连续优化的改进算法。改进的算法在迭代次数以及对解的搜索上具有较好的优势。将改进型智能水滴算法应用于IEEE-30节点含有6机组的测试系统进行Matlab仿真,可以求解电力机组环境经济调度多目标优化问题,并与其它方法求解该问题进行实验对比,实验结果验证所提出的算法的可行性和有效性。Multi-objective optimization for power economic emission dispatch aimed at minimizing the economic costs of power generation and gas emissions. To solve the problems of low search performance and easy to fall into local optimal solution with intelligent water drops algorithm for continuous optimization process, an improved intelligent water drops algorithm based on simulated annealing method was introduced. The improved algorithm had a better advantage in the number of iterations and the search for solutions. The proposed approach verified by Matlab simulation was applied to IEEE-30 bus test system with 6 generating units to solve the multi-objective optimization problem of power economic emission dispatch. Comparing with the other algorithms for this problem, the proposed method was feasible and valid.

关 键 词：环境经济调度 智能水滴算法 连续优化 模拟退火 

分 类 号：TM621.4[电气工程—电力系统及自动化]