Abstract
To decrease the usage of fossil fuels and the amount of power transmitted through distribution systems, the use of renewable energy sources (RES) as distributed generation (DG) is becoming increasingly relevant. Many previous studies have demonstrated the benefits of DGs in improving power quality, and the integration of renewable energy into distribution grids can provide additional benefits for power systems not only in terms of operation costs, reliability, and power quality but also in terms of environmental protection. However, the above benefits can be only achieved if DGs are located at the best locations with suitable capacity. The Particle Swarm Optimization (PSO) algorithm, inspired by nature, is used to optimize the placement and capacity of photovoltaic stations (Solar energy sources) in minimizing total annual energy losses. This approach has been tried out on IEEE 33-bus distribution systems. The PSO algorithm's results are compared to those of other optimization algorithms.
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Phan, T.T., Trong Dao, T. (2024). Apply the Metaheuristic Algorithm to Allocate Distributed Generation and Minimize the Cost of Energy Losses in the Distribution System. In: Trong Dao, T., Hoang Duy, V., Zelinka, I., Dong, C.S.T., Tran, P.T. (eds) AETA 2022—Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2022. Lecture Notes in Electrical Engineering, vol 1081. Springer, Singapore. https://doi.org/10.1007/978-981-99-8703-0_27
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DOI: https://doi.org/10.1007/978-981-99-8703-0_27
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