Abstract
In the last few decades, the power demand is increasing day-by-day and has become almost double. However, the resources of generation are not increasing in comparison to this ever-increasing demand. In order to meet out this ever-increasing demand of power, distributed generations (DGs) are considered as one of the promising solution. In this work, implementation of population-based algorithm known as multi-verse optimization (MVO) has been proposed for optimal location of DGs and capacitors (QC). The objective function has been formulated as constrained minimization of active power loss. The optimization has been performed in such a way that operational constraints of the system like DG power limits, power flow limits and voltage limits are not violated. The obtained results of IEEE 33-bus radial distribution system have also been compared with the recently reported results that have been obtained with implementation of other optimization algorithms and/or methods to illustrate the effectiveness of implementation of proposed algorithm.
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Roy, K., Srivastava, L., Dixit, S. (2022). MVO-Based Approach for Optimal DG and Capacitor Allocation. In: Dubey, H.M., Pandit, M., Srivastava, L., Panigrahi, B.K. (eds) Artificial Intelligence and Sustainable Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-1220-6_7
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DOI: https://doi.org/10.1007/978-981-16-1220-6_7
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