An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch

This paper proposes an external archive-based constrained state transition algorithm (EA-CSTA) with a preference trade-off strategy for solving the power dispatch optimization problem in the electrochemical process of zinc (EPZ). The optimal power dispatch problem aims to obtain the optimal current...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaojun Zhou, Jianpeng Long, Chongchong Xu, Guanbo Jia
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/4727168
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832548686729576448
author Xiaojun Zhou
Jianpeng Long
Chongchong Xu
Guanbo Jia
author_facet Xiaojun Zhou
Jianpeng Long
Chongchong Xu
Guanbo Jia
author_sort Xiaojun Zhou
collection DOAJ
description This paper proposes an external archive-based constrained state transition algorithm (EA-CSTA) with a preference trade-off strategy for solving the power dispatch optimization problem in the electrochemical process of zinc (EPZ). The optimal power dispatch problem aims to obtain the optimal current density schedule to minimize the cost of power consumption with some rigorous technology and production constraints. The current density of each production equipment in different power stages is restricted by technology and production requirements. In addition, electricity price and current density are considered comprehensively to influence the cost of power consumption. In the process of optimization, technology and production restrictions are difficult to be satisfied, which are modeled as nonconvex equality constraints in the power dispatch optimization problem. Moreover, multiple production equipment and different power supply stages increase the amount of decision variables. In order to solve this problem, an external archive-based constrained state transition algorithm (EA-CSTA) is proposed. The external archive strategy is adopted for maintaining the diversity of solutions to increase the probability of finding the optima of power dispatch optimization problem. Moreover, a preference trade-off strategy is designed to improve the global search performance of EA-CSTA, and the translation transformation in state transition algorithm is modified to improve the local search ability of EA-CSTA. Finally, the experimental results indicate that the proposed method is more efficient compared with other approaches in previous papers for the optimal power dispatch. Furthermore, the proposed method significantly reduces the cost of power consumption, which not only guides the production process of zinc electrolysis but also alleviates the pressure of the power grid load.
format Article
id doaj-art-8ae30b85635f4756a04a770b0075fe77
institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-8ae30b85635f4756a04a770b0075fe772025-02-03T06:13:27ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/47271684727168An External Archive-Based Constrained State Transition Algorithm for Optimal Power DispatchXiaojun Zhou0Jianpeng Long1Chongchong Xu2Guanbo Jia3The School of Information Science and Engineering, Central South University, Changsha 410083, ChinaThe School of Information Science and Engineering, Central South University, Changsha 410083, ChinaThe School of Information Science and Engineering, Central South University, Changsha 410083, ChinaThe Institute of Electronics, Communications and Information Technology (ECIT), the School of Electronics, Electrical Engineering and Computer Science (EEECS), Queen’s University Belfast, Belfast BT7 1NN, UKThis paper proposes an external archive-based constrained state transition algorithm (EA-CSTA) with a preference trade-off strategy for solving the power dispatch optimization problem in the electrochemical process of zinc (EPZ). The optimal power dispatch problem aims to obtain the optimal current density schedule to minimize the cost of power consumption with some rigorous technology and production constraints. The current density of each production equipment in different power stages is restricted by technology and production requirements. In addition, electricity price and current density are considered comprehensively to influence the cost of power consumption. In the process of optimization, technology and production restrictions are difficult to be satisfied, which are modeled as nonconvex equality constraints in the power dispatch optimization problem. Moreover, multiple production equipment and different power supply stages increase the amount of decision variables. In order to solve this problem, an external archive-based constrained state transition algorithm (EA-CSTA) is proposed. The external archive strategy is adopted for maintaining the diversity of solutions to increase the probability of finding the optima of power dispatch optimization problem. Moreover, a preference trade-off strategy is designed to improve the global search performance of EA-CSTA, and the translation transformation in state transition algorithm is modified to improve the local search ability of EA-CSTA. Finally, the experimental results indicate that the proposed method is more efficient compared with other approaches in previous papers for the optimal power dispatch. Furthermore, the proposed method significantly reduces the cost of power consumption, which not only guides the production process of zinc electrolysis but also alleviates the pressure of the power grid load.http://dx.doi.org/10.1155/2019/4727168
spellingShingle Xiaojun Zhou
Jianpeng Long
Chongchong Xu
Guanbo Jia
An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch
Complexity
title An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch
title_full An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch
title_fullStr An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch
title_full_unstemmed An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch
title_short An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch
title_sort external archive based constrained state transition algorithm for optimal power dispatch
url http://dx.doi.org/10.1155/2019/4727168
work_keys_str_mv AT xiaojunzhou anexternalarchivebasedconstrainedstatetransitionalgorithmforoptimalpowerdispatch
AT jianpenglong anexternalarchivebasedconstrainedstatetransitionalgorithmforoptimalpowerdispatch
AT chongchongxu anexternalarchivebasedconstrainedstatetransitionalgorithmforoptimalpowerdispatch
AT guanbojia anexternalarchivebasedconstrainedstatetransitionalgorithmforoptimalpowerdispatch
AT xiaojunzhou externalarchivebasedconstrainedstatetransitionalgorithmforoptimalpowerdispatch
AT jianpenglong externalarchivebasedconstrainedstatetransitionalgorithmforoptimalpowerdispatch
AT chongchongxu externalarchivebasedconstrainedstatetransitionalgorithmforoptimalpowerdispatch
AT guanbojia externalarchivebasedconstrainedstatetransitionalgorithmforoptimalpowerdispatch