A fault reconfiguration strategy based on adjustable space operator discrete state transition algorithm for ship microgrid system

2022 ◽  
Vol 205 ◽  
pp. 107707
Author(s):  
Tengfei Zhang ◽  
Defeng Wu ◽  
Lingyu Li ◽  
Andre S. Yamashita ◽  
Saifeng Huang
Keyword(s):  
State Transition ◽  
Space Operator ◽  
Discrete State ◽  
State Transition Algorithm

A novel modularity-based discrete state transition algorithm for community detection in networks

2019 ◽  
Vol 334 ◽  
pp. 89-99 ◽  
Author(s):  
Xiaojun Zhou ◽  
Ke Yang ◽  
Yongfang Xie ◽  
Chunhua Yang ◽  
Tingwen Huang
Keyword(s):  
Community Detection ◽  
State Transition ◽  
Discrete State ◽  
State Transition Algorithm

scholarly journals Discrete state transition algorithm for unconstrained integer optimization problems

2016 ◽  
Vol 173 ◽  
pp. 864-874 ◽  
Author(s):  
Xiaojun Zhou ◽  
David Yang Gao ◽  
Chunhua Yang ◽  
Weihua Gui
Keyword(s):  
State Transition ◽  
Optimization Problems ◽  
Integer Optimization ◽  
Discrete State ◽  
State Transition Algorithm

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

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Xiaojun Zhou ◽  
Jianpeng Long ◽  
Chongchong Xu ◽  
Guanbo Jia
Keyword(s):  
Power Consumption ◽  
Current Density ◽  
Optimization Problem ◽  
State Transition ◽  
Optimal Power ◽  
Power Dispatch ◽  
External Archive ◽  
State Transition Algorithm ◽  
Dispatch Optimization ◽  
The Cost

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.

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