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Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system

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  • Mukhopadhyay, Bineeta
  • Das, Debapriya

Abstract

In the paradigm of the increasing trend towards decarbonisation, the use of sustainable renewable energy is widely recommended. Network reconfiguration, together with the incorporation of battery energy storage systems (BESS), facilitates the integration of renewable power and enhances the loadability of the system, leading to prolonged utilization of the existing equipment. Optimized allocation of PV-DG and BESS is implemented using particle swarm optimization (PSO) in the present work. Dynamic hourly and static seasonal reconfiguration with optimally allocated PV-DG and BESS is presented. Moreover, static annual reconfiguration, followed by the optimal apportionment of distributed resources, is achieved. The reconfiguration objectives considered are loss minimization as well as voltage, and loadability improvement. Hourly and seasonal variations in load and PV-DG generated power are taken into account. Additionally, ‘P’ and ‘PQV’ buses are incorporated in the load flow algorithm used in reconfiguration to facilitate remote voltage regulation. A comparison of the net annual energy savings is made among the three types of reconfiguration for three scenarios, namely, a system with PV-DG only, a system with PV-DG and BESS, and a system with PV-DG, BESS and P and PQV buses.

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  • Mukhopadhyay, Bineeta & Das, Debapriya, 2020. "Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    • Handle: RePEc:eee:rensus:v:124:y:2020:i:c:s1364032120300733
    DOI: 10.1016/j.rser.2020.109777
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