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Multi-objective MCTLBO approach to allocate renewable energy system (PV/BESS) in electricity grid: assessing grid benefits

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Listed:
  • Kumari Kasturi
  • Manas Ranjan Nayak

Abstract

With the advent of the smart grid paradigm many distribution system operators are making efforts to modernise their power grids through the optimal integration of renewable energy system (RES) such as photovoltaic/battery energy storage system (PV/BESS).This paper presents a novel mathematical model and solution approach for the optimal allocation of RES in radial distribution system (RDS). The optimal allocation of RES is formulated as a problem, and it is solved by multi-objective multi-course teaching learning based optimisation (MCTLBO). An efficient codification for the allocation of RES allows the multi-objective MCTLBO to find the optimal location, capacity and power dispatch of RESs for a given RESs for a given load level with time of use (TOU) pricing. The proposed methodology is tested on the 69-bus RDS. It was found that an appropriate allocation of RESs results techno-economic improvement for the system under study.

Suggested Citation

  • Kumari Kasturi & Manas Ranjan Nayak, 2020. "Multi-objective MCTLBO approach to allocate renewable energy system (PV/BESS) in electricity grid: assessing grid benefits," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 16(1), pages 1-23.
    • Handle: RePEc:ids:ijetpo:v:16:y:2020:i:1:p:1-23
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