Empirical study of particle swarm optimization for economic load dispatch with valve-point effects

Abdilahi, Abdirahman Mohamed; Mustafa, Mohd Wazir; Jamian, Jasrul Jamani; Usman, Jafaru

doi:10.1109/peoco.2014.6814474

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…The parameter  is the penalty factor multiplier to amplify the error values so that it weakens the goodness of the fitness function when there are equality constraint violations [15]. An additional constraint handling module is implemented to cater effectively the constraint violations.…”

Section: Fitness Functionmentioning

confidence: 99%

Chaos-Enhanced Cuckoo Search for Economic Dispatch with Valve Point Effects

2016

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IntroductionDespite the global agenda of increasing the share of renewable energy production, thermal power plants contribute predominantly to the global electricity production and will continue to do so in the foreseeable future. This warrants a global concern to lower their operating costs. Allocating power generated in these plants in the least possible operating cost while meeting the system constraints has been one of the main concerns of the utility operators globally. To address this, engineers use the economic dispatch (ED) formulations which is a practical power system optimization problem.Because of the non-linearity, non-convexity and the multimodal characteristics present in the cost function of the ED, adopting a metaheuristic optimization technique (which is the state-of-the-art global optimization technique [1]) has two major advantages over the usage of the conventional techniques. Firstly, metaheuristic optimization techniques (MOTs) lead to better problem modelling that reduce assumptions related to problem characterization in terms of nonlinearity. Secondly, MOTs have better ability to obtain optimal solutions as compared with a conventional technique. Both of these aspects lead to optimal generator loadings for least cost operation within the power system. As a result, system operators can benefit from significant cost savings over the years.Earlier formulations of the ED problem were tackled using coventional mathematical techniques such as interior point method, lambda-iteration method and linear programming [2]. However, those methods cannot solve the ED problem when formulated in a non-linear context and they suffer from "curse of dimensionality" problems. In recent times, the knowledge growth of MOTs has given an opportunity to optimize the ED problem in a more practical way than the mathematical techniques. [9] and Glowworm Swarm Optimization (GWO) [10]. However, many of these techniques and their variants have shown a lack of ability to obtain consistent and robust optimal results reducing their effectiveness in a practical operation.

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Section: Fitness Functionmentioning

confidence: 99%

Chaos-Enhanced Cuckoo Search for Economic Dispatch with Valve Point Effects

2016

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“…The classical economic dispatch (ED) problem is most important, very well known and heavily researched problem in the power system. The operating cost is reduced by proper allocation of the amount of power to the committed units subject to the equality and inequality constraints [1].…”

Section: Introductionmentioning

confidence: 99%

Particle Swarm Optimization Based Economic Load Dispatch with Valve Point Loading

Bhullar¹,

Dhami²

2015

IJERT

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Economic load dispatch (ELD) problem is a quite important task in the operational planning of a power system, where fuel cost is minimized by allocating generation to the committed units subject to the constraints imposed. A small change in the formulation of objective function will come into picture with the introduction of valve point loading effects. In this paper an effective and reliable particle swarm optimization (PSO) technique is proposed for the economic load dispatch problem. The results have been demonstrated for Economic Load Dispatch of standard 3-generator and 10-generator systems with and without consideration of the transmission losses.

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