Dynamic environmental economic dispatch using multiobjective differential evolution algorithm with expanded double selection and adaptive random restart

► The dynamic environmental economic dispatch (DEED) model is presented. ► Two operators are proposed to strengthen global search ability of differential evolution. ► A dynamic heuristic constraint handling approach is introduced to deal with the complicated constraints. ► Widely distributed Pareto...

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Bibliographic Details
Published in:International journal of electrical power & energy systems Vol. 49; pp. 399 - 407
Main Authors: Jiang, Xingwen, Zhou, Jianzhong, Wang, Hao, Zhang, Yongchuan
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.07.2013
Elsevier
Subjects:
Adaptive random restart
Applied sciences
Dynamic economic emission dispatch
Dynamic heuristic constraint handling
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Expanded double selection
Miscellaneous
Multiobjective differential evolution
Operation. Load control. Reliability
Power networks and lines
Expanded double selection
Multiobjective differential evolution
Adaptive random restart
Dynamic economic emission dispatch
Dynamic heuristic constraint handling
Performance evaluation
Dispatching problem
Costs
Evolutionary algorithm
Evolutionary computation
Optimization method
Multiobjective programming
Nonlinear problems
Constrained optimization
Electrical network
Environment impact
Heuristic method
Numerical simulation
System simulation
Valve
Economic aspect
Economic impact
Effectiveness factor
Comparative study
ISSN:0142-0615, 1879-3517
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Summary:► The dynamic environmental economic dispatch (DEED) model is presented. ► Two operators are proposed to strengthen global search ability of differential evolution. ► A dynamic heuristic constraint handling approach is introduced to deal with the complicated constraints. ► Widely distributed Pareto front and better solutions can be obtained by proposed method. ► The proposed method has higher performances and potential applications. The dynamic environmental economic dispatch (DEED) model is presented in this paper, in which the fuel cost and emission effect over a certain period of time are optimized as conflicting objectives. It is a high dimensional, nonlinear constrained multiobjective optimization problem when generators’ valve point effect, ramp rate limits and power load variation are considered. This paper proposes a modified adaptive multiobjective differential evolution (MAMODE) algorithm to solve the problem. In MAMODE, expanded double selection and adaptive random restart operators are proposed to modify the evolutionary processes for avoiding premature and a dynamic heuristic constraint handling (DHCH) approach is introduced to deal with the complicated constraints. The DHCH can lessen infeasible solutions gradually. To illustrate the effectiveness of the method, four cases based on three test power systems are studied. The simulation result indicates that the DEED can be solved quickly. Comparison of numerical results demonstrates the proposed method has higher performance.
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ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2013.01.009