Combined Heat and Power Economic Dispatch Using Differential Evolution

被引：1
|
作者：
Ouyang, Yafei [1 ]
Niu, Qun [1 ]
Zhang, Yang [1 ]
机构：
[1] Shanghai Univ, 140 Yan Chang Rd, Shanghai, Peoples R China
来源：
PROCEEDINGS OF 2017 VI INTERNATIONAL CONFERENCE ON NETWORK, COMMUNICATION AND COMPUTING (ICNCC 2017) | 2017年
关键词：
Combined heat and power economic dispatch(CHPED); Differential evolution algorithm(DE); Mutation operator; OPTIMIZATION; ALGORITHM;
D O I：
10.1145/3171592.3171609
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the differential evolution (DE) algorithm is introduced to solve the combined heat and power economic dispatch (CHPED) problem, a non-convex, non-linear and non-different optimization problem under a number of constraints. DE is a simple yet powerful algorithm which mainly adopts the mutation, crossover and selection operators, and it can solve the CHPED problem easily. To confirm the superiority of DE, an experiment on a power system with 24 units (14 conventional units, 7 CHP units and 3 pure heat units) is conducted, and the performance of DE is compared with other 9 intelligent algorithms. A parameter study with scaling factor F, crossover rate CR and different mutation operators is performed to find the best operators. The experimental results confirm the performance of the DE over other algorithms as a powerful technology for optimization problems.
引用
收藏
页码：222 / 226
页数：5
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