Analysis and optimization of economic load dispatch using soft computing techniques

Sharma, Uma; Moses, Beaulah

doi:10.1109/iceeot.2016.7755472

Cited by 11 publications

(3 citation statements)

References 20 publications

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“…The input test data, as well as loss coefficient matrices, were obtained from [87]. A three-generator test system with a power requirement of 150 MW was assessed, which is given in Appendix A in Table A1.…”

Section: I-case Studymentioning

confidence: 99%

A Cost-Effective Solution for Non-Convex Economic Load Dispatch Problems in Power Systems Using Slime Mould Algorithm

et al. 2022

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Slime Mould Algorithm (SMA) is a newly designed meat-heuristic search that mimics the nature of slime mould during the oscillation phase. This is demonstrated in a unique mathematical formulation that utilizes adjustable weights to influence the sequence of both negative and positive propagation waves to develop a method to link food supply with intensive exploration capacity and exploitation affinity. The study shows the usage of the SM algorithm to solve a non-convex and cost-effective Load Dispatch Problem (ELD) in an electric power system. The effectiveness of SMA is investigated for single area economic load dispatch on large-, medium-, and small-scale power systems, with 3-, 5-, 6-, 10-, 13-, 15-, 20-, 38-, and 40-unit test systems, and the results are substantiated by finding the difference between other well-known meta-heuristic algorithms. The SMA is more efficient than other standard, heuristic, and meta-heuristic search strategies in granting extremely ambitious outputs according to the comparison records.

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Section: I-case Studymentioning

confidence: 99%

A Cost-Effective Solution for Non-Convex Economic Load Dispatch Problems in Power Systems Using Slime Mould Algorithm

et al. 2022

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“…The input test data and loss coefficient matrices were obtained from Sharma and Moses (2016), which shows a three-generator test system with a power requirement of 150 MW assessed. The input test data are displayed in appendix.…”

Section: Case Studymentioning

confidence: 99%

An Improved Solution to Generation Scheduling Problem Using Slime Mold Algorithm

Zhu

2022

Front. Energy Res.

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The slime mold algorithm (SMA) is a novel meta-heuristic search that replicates the characteristics of slime mold during oscillation. This is presented in a novel mathematical formulation that employs changeable weights to modify the sequence of both negative and positive propagation waves in order to build a mechanism for linking food availability with intensive exploration capacity and exploitation affinity. The study demonstrates how to solve a non-convex and cost-effective load dispatch issue (ELD) in an electric power system using the SM method. The efficacy of SMA is explored for a single-area economic load dispatch on small-scale power systems, using 3-, 5-, and 6-unit test systems, and the results are validated by comparing the results to those of other well-known meta-heuristic algorithms.

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“…Basic property of ELD is that it considers power balance constraint rather than generating capacity limits. Contrary, ELD favors the ramp rate limits, barred operating sectors, value point effects and last but not the least multi fuel options to provide complete formulation of the ELD[4] [5]. As a consequence, ELD will be non-convex optimization dilemma which cannot be solved by offered methods of ELD.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid BPSO-ST Swarm Intelligence Approach for Resolving Economic Load Dispatch Problem in Power System

Singh¹

2018

IJRASET

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Economic load dispatch provides optimization method which divides demand of the power among online generators economically by satisfying different constraints. ELD can concluded as scheduling of committed generating units by meeting up the demands of the consumers while reducing operational cost to the utilities with satisfying equality and inequality constraints. In this work several optimization algorithm have discussed such as Genetic Algorithm, Lambda Optimization Algorithm and Particle Swarm Optimization. These optimization algorithms can be used as per the requirement of the system. A hybrid mechanism i.e. BPSO-ST (Binary Particle Swarm Optimization-State Transition) algorithm for ELD is developed in this study. Resultant graph in the result and discussion section shows that BPSO-ST is better in terms of total power output generation and total generation cost and total Power Loss in comparison to the POS, Lambda and GA optimization algorithm. Keywords: Economic Load Dispatch, BPSO, State Transition, Power Generation, Transmission Loss, Total cost. I. INTRODUCTIONElectrical power industry is one of the trending areas in power industry which restructured the vibrant and competitive market in terms of various aspects of the industry. As the progressions have done in the industry, scarcity of the energy resources, ever budding demand for electrical energy, increasing power generation cost necessitate optimal dispatch. Owing to this economic load dispatch provides optimization method which divides demand of the power among online generators economically by satisfying different constraints. Seeing as cost of the power generation is excessive in such case optimum dispatch can helps out in saving considerable amount of money. Accordingly, optimal generation dispatch is one of the imperative problems in power system engineering. This technique is commonly used by operators for system operation in every day. The main idea of using this technique is that it allocates real and reactive power to the power system in order to obtain optimal state which can reduce cost and overall competence of the system [1]. ELD i.e. economic load dispatch problem allocates the real power to the online generating units which leads to the reduction in system cost. In the traditional formulation of economic load dispatch problem there were several problems contradict simplicity of the models. Basic model of the power system is acquired through power balance equation whereas generators are modeled with the smooth quadratic cost functions and last generator through output constraints. Thus in order to improve the power system studies several models have been developed which results in efficient system operation. Several models have developed which provides more accurate representation of the system but on the other hand it may faces increased complexity of the optimization predicament owing to the non-linearity allied with them. Basic property of ELD is that it considers power balance constraint rather than generating capacity lim...

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Analysis and optimization of economic load dispatch using soft computing techniques

Cited by 11 publications

References 20 publications

A Cost-Effective Solution for Non-Convex Economic Load Dispatch Problems in Power Systems Using Slime Mould Algorithm

A Cost-Effective Solution for Non-Convex Economic Load Dispatch Problems in Power Systems Using Slime Mould Algorithm

An Improved Solution to Generation Scheduling Problem Using Slime Mold Algorithm

A Hybrid BPSO-ST Swarm Intelligence Approach for Resolving Economic Load Dispatch Problem in Power System

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