A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm | Zendy

Wanxing Sheng | Zendy; Keyan Liu | Zendy; Yongmei Liu | Zendy; Xiaoli Meng | Zendy; Xiaohui Song | Zendy

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A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm

Author(s) -

Wanxing Sheng,

Keyan Liu,

Yongmei Liu,

Xiaoli Meng,

Xiaohui Song

Publication year - 2013

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2013/643791

Subject(s) - crossover , mathematical optimization , evolutionary algorithm , sorting , pareto principle , particle swarm optimization , computer science , multi objective optimization , genetic algorithm , simulated annealing , economic dispatch , fitness function , algorithm , electric power system , power (physics) , mathematics , artificial intelligence , physics , quantum mechanics

A distribution generation (DG) multiobjective optimization method based on an improved Pareto evolutionary algorithm is investigated in this paper. The improved Pareto evolutionary algorithm, which introduces a penalty factor in the objective function constraints, uses an adaptive crossover and a mutation operator in the evolutionary process and combines a simulated annealing iterative process. The proposed algorithm is utilized to the optimize DG injection models to maximize DG utilization while minimizing system loss and environmental pollution. A revised IEEE 33-bus system with multiple DG units was used to test the multiobjective optimization algorithm in a distribution power system. The proposed algorithm was implemented and compared with the strength Pareto evolutionary algorithm 2 (SPEA2), a particle swarm optimization (PSO) algorithm, and nondominated sorting genetic algorithm II (NGSA-II). The comparison of the results demonstrates the validity and practicality of utilizing DG units in terms of economic dispatch and optimal operation in a distribution power system

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