2020
DOI: 10.3390/en13040957
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Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling

Abstract: Planning the operation scheduling with optimization heuristic algorithms allows microgrids to have a convenient tool. The developments done in this study attain this scheduling taking into account the impact of energy storage useful life in the microgrid operation. The scheduling solutions, proposed for the answer of an optimization problem, are obtained by using a metaheuristic algorithm called Differential Evolutionary Particle Swarm Optimization (DEEPSO). Thanks to the optimization that is conducted in this… Show more

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Cited by 14 publications
(6 citation statements)
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“…In traditional power markets, for example, power surcharges and taxes account for a considerable percentage of the price. However, renewable energies usually have minor costs (Baron et al, 2020), in which prosumers may earn extra benefits by properly selecting the tariff pricing of their energies. However, pricing methods must reflect the status of energy inside the P2P network, i.e., an increasing electricity excess for the users inside the system must decrease the electricity cost.…”
Section: Pricing Proceduresmentioning
confidence: 99%
“…In traditional power markets, for example, power surcharges and taxes account for a considerable percentage of the price. However, renewable energies usually have minor costs (Baron et al, 2020), in which prosumers may earn extra benefits by properly selecting the tariff pricing of their energies. However, pricing methods must reflect the status of energy inside the P2P network, i.e., an increasing electricity excess for the users inside the system must decrease the electricity cost.…”
Section: Pricing Proceduresmentioning
confidence: 99%
“…The technical feasibility analysis of the centralized energy storage system for operating economic benefits is presented in [47]. The economic results have been analyzed using mixed-integer linear programming in [47]- [49] for the centralized and distributed energy storage in the day ahead electricity market. In [50] a linear programming model has been developed to reduce the operating cost of storage by optimizing the community energy.…”
Section: A Literature Reviewmentioning
confidence: 99%
“…On the other hand, MG performance was observed by Baron in [ 56 ], where the research aimed to increase the optimal scheduling of various types of grids. It included operational costs of the system and costs associated with the loss of energy storage.…”
Section: Energy Management Of Campus Microgrids With Distributed Gene...mentioning
confidence: 99%