Universal Journal of Electrical and Electronic Engineering Vol. 7(2), pp. 69 - 80
DOI: 10.13189/ujeee.2020.070201
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Improvement of the PSO Algorithm to Solve the Nonlinear Economic Dispatch Problem with a New Local Search Algorithm


Mohammad Reza Gholami Dehbalaee 1,*, Gholam Hossein Shayci 1, Majid Valizadeh 2
1 Electrical Engineering Department, Engineering Faculty, Razi University, Iran
2 Electrical Engineering Department, Engineering Faculty, Ilam University, Iran

ABSTRACT

This paper suggests a new PSOHHC algorithm for solving the economic dispatch (ED). This algorithm was created by integrating two algorithms: PSO (particle swarm optimization) algorithm, an evolutionary algorithm based on collective intelligence, and a new search algorithm for HHC (Hybrid Hill Climbing) which is based on searching. The aim of presenting this algorithm is to improve the performance of the PSO algorithm in terms of convergence to achieve the best possible solution with the required accuracy. This new algorithm is able to improve the responses obtained from the PSO algorithm with a controllable local search. The most important goal of economic dispatch is the optimal allocation of each generator's contribution to provide the load and reduce the costs of active units in the power system. This is generally due to the nonlinear factors and limitations, such as: the effect of steam inlet valve (valve point effect (VPE)), the balance between the production and consumption of the system, the prohibited operating zones (POZS), production limits, slope rate, and lines' losses. This algorithm is implemented on 3 test systems of 13 units, 31 units and 40 units with different operating conditions, independently and also in combination with the PSO evolutionary algorithm, and simulation results illustrate the efficiency of this algorithm in solving ED problems.

KEYWORDS
Hybrid Hill Climbing, Valve Point Effect, Prohibited Zones, PSO

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Mohammad Reza Gholami Dehbalaee , Gholam Hossein Shayci , Majid Valizadeh , "Improvement of the PSO Algorithm to Solve the Nonlinear Economic Dispatch Problem with a New Local Search Algorithm," Universal Journal of Electrical and Electronic Engineering, Vol. 7, No. 2, pp. 69 - 80, 2020. DOI: 10.13189/ujeee.2020.070201.

(b). APA Format:
Mohammad Reza Gholami Dehbalaee , Gholam Hossein Shayci , Majid Valizadeh (2020). Improvement of the PSO Algorithm to Solve the Nonlinear Economic Dispatch Problem with a New Local Search Algorithm. Universal Journal of Electrical and Electronic Engineering, 7(2), 69 - 80. DOI: 10.13189/ujeee.2020.070201.