Abstract
This paper uses a hybrid intelligence algorithm to reduce the producing cost of a low-voltage microgrid system equipped with a micro-turbine, fuel cell, solar system, and pumped hydro storage. Demand side management (DSM) has been implemented as the cost- management tool and the positive impacts of DSM have been analyzed in detail. Result shows that inclusion of pico hydro storage system helped in dip** the generation cost of the MG structure which was further lowered by implementing DSM strategy. Among positive impact of DSM are peak reductions and load factor improvement which is also portrayed in the results. Incorporating a pumped hydro storage system along with the RES (solar PV system) helped in minimizing the generation cost. This happened primarily because the pum** mode of pumped storage was powered by the PV system and no fuel cost was incurred. Projected hybrid WOASCA yield superior class outcome than the other algorithms compared with.
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Authors would like to acknowledge the support of the Department of Science and Technology (DST), Govt. of India, and GIET University, Gunupur, Odisha, India for the financial & technical support for this work.
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Singh, T.C., Rao, K.S., Dey, B., Garcia Marquez, F.P. (2023). Demand Side Management Based Cost-Centric Solution for a Grid Connected Microgrid System with Pico-Hydro Storage System. In: GarcÃa Márquez, F.P., Jamil, A., Eken, S., Hameed, A.A. (eds) Computational Intelligence, Data Analytics and Applications. ICCIDA 2022. Lecture Notes in Networks and Systems, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-031-27099-4_12
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DOI: https://doi.org/10.1007/978-3-031-27099-4_12
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