A New Hybrid PSOGSA Algorithm for Solving Optimal Reactive Power Dispatch Problem
Publish place: International Journal of Mechatronics, Electrical and Computer Technology، Vol: 4، Issue: 10
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJMEC-4-10_010
تاریخ نمایه سازی: 16 فروردین 1395
Abstract:
In this paper, a new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA), is applied to solve the optimal reactive power dispatch (ORPD) Problem. The ORPD problem is formulated as a nonlinear constrained single-objective optimization problem where the real power loss and the bus voltage deviations are to be minimized separately. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus system consisting 6 generator and compared other algorithms reported those before in literature. Results show that PSOGSA is more efficient than others for solution of single-objective ORPD problem
Keywords:
Gravitational Search Algorithm (GSA) , Particle Swarm Optimization (PSO) , Function Optimization , optimal reactive Power dispatch , power system
Authors
k lenin
Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Kukatpally, Hyderabad, India
b Ravindranath Reddy
Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Kukatpally, Hyderabad, India
m Surya Kalavathi
Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Kukatpally, Hyderabad, India