Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand

Saraisuwan, P.; Jirapong, Peerapol; Kalankul, A.; Premrudeepreechacharn, S.

doi:10.1109/icuepes.2011.6497709

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…where β is a parameter between [1,2] interval and considered to be 1.5; u and v are drawn from normal distribution as:…”

Section: Generate New Cuckoos By Lévy Flightsmentioning

confidence: 99%

“…Various optimization techniques such as analytical method [2] and articial intelligence approach such as hybrid genetic algorithm and simulated an-Manuscript received on August 19, 2013 ; revised on September 6, 2013. 1,2 The authors are with Department of Electrical Engineering, Faculty of Engineering, Kasetsart University, Thailand., E-mail: wbuaklee@hotmail.com and fengksh@ku.ac.th nealing, combined genetic algorithm [3] and particle swarm optimization [4], tabu search, non-linear and dynamic programming, dierential evolution algorithm and heuristic methods [5] have been widely employed to seek the optimal location, size and operating mode for the DG interconnection. The DG application is very complex multi-objective nonlinear optimization problem.…”

Section: Introductionmentioning

confidence: 99%

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Optimal DG Allocation in a Smart Distribution Grid Using Cuckoo Search Algorithm

Buaklee

Hongesombut

2013

ECTI-EEC

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In a smart distribution grid environment, the applications of Distributed Generation (DG) are widely employed. Using these applications can have both positive and negative impacts on the distribution system. The sizing and location of their installations are the issues that should be taken into consideration to gain the maximum benet. This paper presents a application of the Cuckoo Search (CS) for the optimal sizing and siting of DG in a smart distribution power system in order to minimize real power losses by maintaining the fault level and the voltage variation within the acceptable limit. The CS is inspired by the obligate brood parasitism of some cuckoo species by putting their eggs in the nests of other species. To demonstrate the eectiveness of the proposed methodology, a simplify 9-bus radial distribution system of the Provincial Electricity Authority of Thailand (PEA) is selected for the computer simulation with DIgSILENT software to explore the benet of the optimal DG placement and the performance of the CS.

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“…where β is a parameter between [1,2] interval and considered to be 1.5; u and v are drawn from normal distribution as:…”

Section: Generate New Cuckoos By Lévy Flightsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal DG Allocation in a Smart Distribution Grid Using Cuckoo Search Algorithm

Buaklee

Hongesombut

2013

ECTI-EEC

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“…[step1] Initialize number of bats (n), number of iterations, loudness A 0 which can typically be [1,2] The flowchart of the proposed approach as mentioned above is as shown in Fig. 1.…”

Section: The Proposed Methodologymentioning

confidence: 99%

“…In this section, to test the proposed methodology, a simplified 9-bus distribution system of the PEA [2] which has already taken the geography, useful road condition and fuel resources into consideration is employed in the study. Fig.…”

Section: Numerical Studiesmentioning

confidence: 99%

“…Various optimization techniques such as analytical method [2] and artificial intelligence approach such as such as genetic algorithm [3][4], simulated annealing, combined genetic algorithm with other algorithms [5] and particle swarm optimization [6] and hybrid particle swarm with other algorithms [7][8], tabu search, non-linear and dynamic programming, differential evolution algorithm, power flow approach, and heuristic methods such as artificial bee colony [9] and cuckoo search [10] have been employed to seek the optimal location, size and operating mode for the DG interconnection. The DG application is very complex multi-objective nonlinear optimization problem.…”

Section: Introductionmentioning

confidence: 99%

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Optimal DG Placement in a Smart Distribution Grid Considering Economic Aspects

Buaklee¹,

Hongesombut²

2014

Journal of Electrical Engineering and Technology

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-The applications of Distributed Generation (DG) in a smart distribution grid environment are widely employed especially for power balancing and supporting demand responses. Using these applications can have both positive and negative impacts on the distribution system. The sizing and location of their installations are the issues that should be taken into consideration to gain the maximum benefit from them when considering the economic aspects. This paper presents an application of the Bat Algorithm (BA) for the optimal sizing and siting of DG in a smart distribution power system in order to maximize the Benefit to Cost Ratio (BCR), subjected to system constraints including real and reactive power generation, line and transformer loading, voltage profile, energy losses, fault level as well as DG operating limits. To demonstrate the effectiveness of the proposed methodology and the impact of considering economic issues on DG placement, a simplify 9-bus radial distribution system of the Provincial Electricity Authority of Thailand (PEA) is selected for the computer simulation to explore the benefit of the optimal DG placement and the performance of the proposed approach.

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“Optimal placement and sizing of distributed generation in power distribution system: a comprehensive review”

Kumar

Verma

Choudhary

et al. 2023

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand

Cited by 6 publications

References 8 publications

Optimal DG Allocation in a Smart Distribution Grid Using Cuckoo Search Algorithm

Optimal DG Allocation in a Smart Distribution Grid Using Cuckoo Search Algorithm

Optimal DG Placement in a Smart Distribution Grid Considering Economic Aspects

“Optimal placement and sizing of distributed generation in power distribution system: a comprehensive review”

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