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• W4383669969 abstract "The energy sector is seeing the emergence of microgrids, which mark a paradigm change away from distant central station power plants, toward more localized distributed generation. Microgrids are resilient because of their ability to operate independently of the main grid, and their capacity for flexible and parallel operations enables the supply services and boosts the grid's ability to compete. However, energy management of microgrid is very essential for their effective optimal operation. Moreover, battery energy storage (BESS) is becoming a major component of a microgrid due to uncertain nature of renewable energy sources present in a microgrid. In this regard, this study formulates an energy management algorithm that minimizes the operating cost of the microgrid considering the detailed cost model of the BESS. The developed cost objective function is solved using a famous meta heuristic optimization algorithm named, particle swarm optimization (PSO). The effectiveness of the proposed algorithm is examined with two scenarios of solar generation, i.e., full sunshine and cloudy day. The proposed algorithm is validated with the data obtained from a real-time microgrid installed at BITS PILANI supermarket. The obtained optimal operating cost of microgrid for full sunshine and cloudy day is 2.84$/Rs.227.2 and 11.43$/Rs.914.4, respectively." @default.
• W4383669969 created "2023-07-09" @default.
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• W4383669969 date "2023-01-01" @default.
• W4383669969 modified "2023-09-25" @default.
• W4383669969 title "Real-Time Data-Based Optimal Power Management of a Microgrid Installed at BITS Supermarket: A Case Study" @default.
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• W4383669969 doi "https://doi.org/10.1007/978-981-99-0483-9_32" @default.
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