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Title

Dynamic economic emission dispatch using modified NSGA-II.

Authors

Zhu, Zhijian; Wang, Jie; Baloch, Mazhar H.

Abstract

The dynamic economic emission dispatch (DEED) of power system occupies a decisive position in the process of energy conservation and emissions reduction. DEED incorporating valve point effect of generator units is a dynamic multi-objective non-convex optimization problem with the characteristic of nonlinearity, strong-constraint, and multi-peak. This paper proposed a new modified non-dominated sorting genetic Algorithm-II with selection based on dynamic crowding distance and new controlled elitism to solve DEED, which can guarantee the diversity of population under the premise of elitism of population. A deep analysis about blocked evolution produced by heuristic operation which is used to handle the complicate constraints is executed, and a modified heuristic operation based on forward search operator has been firstly implemented to solve the problem. A new membership function has been defined to describe the superiority-inferiority of the individuals in the Pareto set, from which the best compromise solution is selected. Finally, case studies were carried out with the classic 10-units test system. The simulation results demonstrate the better global search and better results acquirement capability of the proposed modified non-dominated sorting genetic Algorithm-II comparing with existing non-dominated sorting genetic Algorithm-II. Copyright © 2016 John Wiley & Sons, Ltd.

Subjects

LOAD dispatching in electric power systems; GENETIC algorithms; ENERGY conservation

Publication

International Transactions on Electrical Energy Systems, 2016, Vol 26, Issue 12, p2684

ISSN

2050-7038

Publication type

Academic Journal

DOI

10.1002/etep.2228

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