Combination of GA and OPF for allocation and active and reactive power optimization in Distributed Generation units

Aliabadi, Mahmood Hosseini; Behbahani, Behrooz Alizadeh; Jalilvand, Abolfazl

doi:10.1109/pecon.2008.4762726

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…Step 9) Sort individual in order of ascending health and determine Primary symptom, Secondary symptom and Dynamic threshold value of Swine flu using (10), (13) and (9).…”

Section: B Simbo-q Methods For Optimum Siting and Sizing Of Dgmentioning

confidence: 99%

See 1 more Smart Citation

Optimal location and sizing of DG to minimize loss of distribution system using SIMBO-Q method

Sharma

Bhattacharjee

Bhattacharya

2014

Proceedings of the 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC)

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Determination of optimal location and size of Distributed Generation units is one of the major problems of distribution network. Optimum locations and sizes of DG sources have profoundly impacted on the system losses of a distribution network. This paper presents a new optimization technique known as Swine Influenza Model Based Optimization with Quarantine (SIMBO-Q) to determine optimal allocation and sizing of distributed generation units in distribution network to minimize active power loss. SIMBO-Q performs the optimization through quarantine and treatment based on probability. SIMBO variants can be used to solve DG siting and sizing problem with improved convergence and accuracy. The proposed algorithm is applied to a 33-bus distribution system. The results obtained with the proposed method are compared with the results of PSO and numerical studies represent the effectiveness and outperformance of the proposed method.

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“…Step 9) Sort individual in order of ascending health and determine Primary symptom, Secondary symptom and Dynamic threshold value of Swine flu using (10), (13) and (9).…”

Section: B Simbo-q Methods For Optimum Siting and Sizing Of Dgmentioning

confidence: 99%

“…If current health of individual is greater than dynamic threshold (D_Threshold) then it is suspected, otherwise it is recovered case. The value of dynamic threshold depends on health of best 50% population (Sr), μ, rand and primary symptoms as presented in (9). …”

Section: B Constraintsmentioning

confidence: 99%

Optimal location and sizing of DG to minimize loss of distribution system using SIMBO-Q method

Sharma

Bhattacharjee

Bhattacharya

2014

Proceedings of the 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC)

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“…In paper [9], the proposed algorithm can not only deal with more than one DG's allocation but also handle the situation considering discrete load models. Paper [10] focused on the important task of finding the optimal site and sizing of distributed generation units for a given distribution network based on genetic algorithm and optimal power flow calculations. In paper [11], a comparative study of a new proposed Rank Evolutionary Particle Swarm Optimization (REPSO) method with Evolutionary Particle Swarm Optimization (EPSO) and Traditional Particle Swarm Optimization (PSO) is performed in optimal sizing of DG.…”

Section: Introductionmentioning

confidence: 99%

Self-adaptive Genetic Algorithm and Fuzzy Decision Based Multi-objective Optimization in Microgrid with DGs

Xie¹,

Zhai²,

Liu³

et al. 2016

TOEEJ

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Abstract:Microgrid is one practical infrastructure to integrate Distributed Generations (DGs) and local loads. Its optimal operating strategy has aroused great attention in recent years. This paper mainly focuses on the multi-objective optimization of DGs in microgrid by using self-adaptive genetic algorithm (GA) and fuzzy decision. Five objective functions are taken into account comprising voltage offset, transmission loss, construction cost, purchase cost and the environmental cost. In the algorithm, selfadaptation in population size, mutation probability, selection and standardization of objective functions is developed to enhance the speed and efficiency of the algorithm. Moreover, fuzzy decision is applied to determine the final solution. Simulation results show this algorithm can effectively find the optimal solution and improve the real-time control of microgrid, which implies the possibility of potential applications in microgrid energy management system.

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Optimal placement of distributed generation in electric distribution networks

Bouzguenda

Samadi

RajaMohamed

2017

2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)

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Combination of GA and OPF for allocation and active and reactive power optimization in Distributed Generation units

Cited by 7 publications

References 9 publications

Optimal location and sizing of DG to minimize loss of distribution system using SIMBO-Q method

Optimal location and sizing of DG to minimize loss of distribution system using SIMBO-Q method

Self-adaptive Genetic Algorithm and Fuzzy Decision Based Multi-objective Optimization in Microgrid with DGs

Optimal placement of distributed generation in electric distribution networks

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