Abstract

This paper presents an efficacy optimization technique for solving Economic Load Dispatch (ELD) problem in power systems. Economic load dispatch has become more complicated with added ramp rate limits constraints to the problem. Latterly their were many traditional approach’s applied to ELD problem like Merit order loading, particle swarm optimation technique. This approach can be efficient for ELD problems. It cannot be applied due to high elaboration of their solutions. The Vortex Search Algorithm (VSA) is a newly advanced algorithm influenced by a vortex arrangement which can be designed as a number of nested circles. VSA approach was advanced from state of stirring liquids. The expediency and effectiveness of this approach is determined in different cases. It has no additional problem-specific parameters and it can be applicable to the optimization problems without control parameters tuning. VS Algorithm basically adjusts its step size automatically for the changing values of radius (circles) to improve the solution. In this proposed work, modified vortex search (MVSA) algorithm is applied to solve the ELD problem in some 6-unit test system by considering the system constraints and also the performance of this algorithm can be analyzed in terms of total generation costs and power losses. Obtained results of the test systems will be compared with particle swarm optimization (PSO), Merit order loading, VSA literature. The obtained results will demonstrate the MVSA algorithm is efficient way of solving the ELD problem and finding the output power of all the generation units accurately.

Keywords:
Economic dispatch Particle swarm optimization Mathematical optimization Computer science Electric power system Power (physics) Algorithm Mathematics

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Topics

Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Islanding Detection in Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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