Solving the economic dispatch problem with an integrated parallel genetic algorithm

Fung, Chun Che; Chow, S.Y.; Wong, K.P.

doi:10.1109/icpst.2000.898150

Cited by 13 publications

(3 citation statements)

References 9 publications

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“…A parallel GA that is hybridized with simulated annealing (SA) and tabu search (TS) in a parallel environment is described in [22]. Precisely, the parallel environment used consists of ten Pentium II-350MHz computers that rely on sockets for communication.…”

Section: B Economic Dispatchmentioning

confidence: 99%

High performance computing for electric power systems: Applications and trends

Green

Wang

Alam

2011

2011 IEEE Power and Energy Society General Meeting

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The last significant works that made an effort to review and summarize the relationship between High Performance Computing (HPC) and Power Systems Analysis were published in the mid 1990's. Since that time significant changes have occurred in both fields. HPC has seen the maturation of cluster computing, the advent of multicore, the creation of Grid Computing, the rise of the GPU for general purpose computing and the gradual ending of Moore's law. Power systems have also changed and matured at a rapid pace through deregulation, the integration of renewable energy, the integration of distributed energy production and storage, concerns regarding climate change, and recent discussions concerning the smart grid. Considering the vast amount of change that has occurred in both industries, this work reviews ways in which HPC has been used in the field of power systems over the last 15 years while also identifying some emerging trends and suggesting possible future applications.

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Section: B Economic Dispatchmentioning

confidence: 99%

High performance computing for electric power systems: Applications and trends

Green

Wang

Alam

2011

2011 IEEE Power and Energy Society General Meeting

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“…GA has been deployed to solve ELD with various modifications over the years. In a similar attempt, a unitindependent encoding scheme has also been proposed based on equal incremental cost criterion (Fung et al, 2000). In spite of its successful implementation, GA does possess some weaknesses leading to longer computation time and less guaranteed convergence, particularly in case of epistatic objective function containing highly correlated parameters (Eberhart and Shi, 1998;Fogel, 2000).…”

Section: Introductionmentioning

confidence: 99%

Economic load dispatch using population-variance harmony search algorithm

Panigrahi

Pandi

Das

et al. 2011

Transactions of the Institute of Measurement and Control

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This paper presents a novel stochastic optimization approach to solve the constrained economic load dispatch (ELD) problem using the harmonic search algorithm (HS). HS is a recently developed derivative-free, meta-heuristic optimization algorithm, which draws inspiration from the musical process of searching for a perfect state of harmony. This work analyses the evolution of the population-variance over successive generations in HS and thereby draws some important conclusions regarding the explorative power of HS. The proposed methodology easily takes care of solving non-convex ELD problems along with different constraints like transmission losses, ramp rate limits of the generators and prohibited operating zones. Simulations were performed over various standard test systems with different number of generating units and a comparative study is carried out with other existing relevant approaches. The findings affirmed the robustness and proficiency of the proposed methodology over other existing techniques.

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“…GA has been deployed to solve ELD with various modifications over the years. In a similar attempt, a unit independent encoding scheme has also been proposed based on equal incremental cost criterion [16]. In spite of its successful implementation, GA does posses some weaknesses leading to longer computation time and less guaranteed convergence, particularly in case of epistatic objective function containing highly correlated parameters [17,18].…”

Section: Introductionmentioning

confidence: 99%

Economic Load Dispatch Using a Chemotactic Differential Evolution Algorithm

Biswas¹,

Dasgupta²,

Panigrahi³

et al. 2009

Lecture Notes in Computer Science

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Abstract. This paper presents a novel stochastic optimization approach to solve constrained economic load dispatch (ELD) problem using Hybrid Bacterial Foraging-Differential Evolution optimization algorithm. In this hybrid approach computational chemotaxis of BFOA, which may also be viewed as a stochastic gradient search, has been coupled with DE type mutation and crossover of the optimization agents. The proposed methodology easily takes care of solving non-convex economic load dispatch problems along with different constraints like transmission losses, dynamic operation constraints (ramp rate limits) and prohibited operating zones. Simulations were performed over various standard test systems with different number of generating units and comparisons are performed with other existing relevant approaches. The findings affirmed the robustness and proficiency of the proposed methodology over other existing techniques.

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Solving the economic dispatch problem with an integrated parallel genetic algorithm

Cited by 13 publications

References 9 publications

High performance computing for electric power systems: Applications and trends

High performance computing for electric power systems: Applications and trends

Economic load dispatch using population-variance harmony search algorithm

Economic Load Dispatch Using a Chemotactic Differential Evolution Algorithm

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