2019
DOI: 10.1109/jsyst.2018.2875177
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Multi-Objective Approach for Strategic Incorporation of Solar Energy Source, Battery Storage System, and DSTATCOM in a Smart Grid Environment

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Cited by 50 publications
(25 citation statements)
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“…In modern distribution networks, it is more practical to consider the simultaneous optimization of grid performance (technical), economic, and environmental benefits for network planning. Fewer research works [30], [109], [142] have implemented such studies.…”
Section: Multiobjective Optimization Methods In the Optimal Integrmentioning
confidence: 99%
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“…In modern distribution networks, it is more practical to consider the simultaneous optimization of grid performance (technical), economic, and environmental benefits for network planning. Fewer research works [30], [109], [142] have implemented such studies.…”
Section: Multiobjective Optimization Methods In the Optimal Integrmentioning
confidence: 99%
“…The Fuzzy decision-making technique handled the selection of compromise solutions from the Pareto front. An extended version of the NSGA-II (E_NSGA-II) with a fuzzy decision model was developed by [142] to determine the best solution from a non-dominating set. The aim is to optimally integrate solar PV, BESS, and D-STATCOM to a smart microgrid, using a probabilistic power flow model.…”
Section: Multiobjective Optimization Methods In the Optimal Integrmentioning
confidence: 99%
“…In these figures, irradiation, temperature and days are located in X, Y and Z axes, respectively. 32 To evaluate the proposed method, five scenarios have been considered as follows: The characteristics of the used photovoltaic and DSTATCOM unit have been given in Table 1. The presented method is applied on 33-bus test system.…”
Section: Implementation Of the Proposed Methods On Test Systemmentioning
confidence: 99%
“…After obtaining the Pareto solutions, it is essential to choose the best-compromised solution amongst these solutions. Therefore, the fuzzy logic theory is employed for this purpose [24]. The best solution is the solution that has the smallest distance from the ideal solution and the furthest distance from the worst one.…”
Section: Step 3 Terminationmentioning
confidence: 99%