2019 8th International Conference on Power Systems (ICPS) 2019
DOI: 10.1109/icps48983.2019.9067363
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Optimal dump load allocation to regulate voltage and frequency in microgrid

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Cited by 3 publications
(17 citation statements)
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“…As in [96,97], the capital, running, and maintenance costs of BESS allocation in an islanded MG have been minimized, while the optimal allocation of ESS in DCIMG has been studied for stability margin enhancements [98] and emissions reduction [99]. A dump load integration in DCIMG has been investigated to help with voltage and frequency regulation during off-peak hours [100][101][102]. Considering solar radiation and wind speed uncertainties' impact on the total annual cost of a remote islanded DC microgrid, the optimal number of wind turbines, PV cells, and BESS was determined by the particle swarm optimization (PSO) method, while uncertainties were accounted for by means of Monte-Carlo simulation (MCS) [103].…”
Section: Allocation Problemmentioning
confidence: 99%
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“…As in [96,97], the capital, running, and maintenance costs of BESS allocation in an islanded MG have been minimized, while the optimal allocation of ESS in DCIMG has been studied for stability margin enhancements [98] and emissions reduction [99]. A dump load integration in DCIMG has been investigated to help with voltage and frequency regulation during off-peak hours [100][101][102]. Considering solar radiation and wind speed uncertainties' impact on the total annual cost of a remote islanded DC microgrid, the optimal number of wind turbines, PV cells, and BESS was determined by the particle swarm optimization (PSO) method, while uncertainties were accounted for by means of Monte-Carlo simulation (MCS) [103].…”
Section: Allocation Problemmentioning
confidence: 99%
“…Furthermore, Pareto optimal sets require another approach to select one optimal solution. Such decision-making criteria include the minmax fuzzy logic principle [47,85,99,148], fuzzy satisfying method [100][101][102], utopia-nadir balance [159], Nash equilibrium approach [91], and grey relation projection technique [89].…”
Section: Multi-criteria Decision Problemmentioning
confidence: 99%
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