Sharifah Noraida Syed Zainal Abidin, Muhammad Murtadha Othman, Masoud Ahmadipour, Kamrul Hasan
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Optimal Allocation of Photovoltaic (PV) System Incorporating Energy Storage System (ESS) using Evolutionary Programming (EP) for Power System Reliability
Net Zero Carbon 2050 requires a shift to renewable energy (RE) such as the photovoltaic system. However, the uncertainty of RE will cause electrical system interruptions, excess energy output, and a lack of electricity supply. Energy storage systems (ESSs) can be used to solve supply problems, but they should consider the reliability component of the power system. It is important to assess the impact of RE incorporated ESS for reliability studies. Optimal allocation of RE incorporating ESS needs to be tackled to ensure the grid failures and their impacts. This research shows the optimal allocation of RE with ESSs for power system reliability. The Force Outage Rate (FOR) for the energy storage system, photovoltaic system, and weather conditions was obtained from the development of each Markov model. Then, each FOR is combined to get the new FOR. The value of LOLE must be below 0.1 per year or 2.4 hours per year and the value of EUE should close to zero. Accordingly, this paper shows that the optimal allocation of PV incorporating ESS that minimizes the LOLE and EUE while satisfying the installation target and constraints on reliability indices.
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