Optimal battery energy storage system deployment from perspectives of private investors and system operators for enhancing power system reliability

Fida, Kinza; Imran, Kashif; Mehmood, Khawaja Khalid; Bano, Pakeeza; Abusorrah, Abdullah; Janjua, Abdul Kashif

doi:10.1016/j.est.2023.107882

Cited by 8 publications

(1 citation statement)

References 30 publications

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“…Similarly, integrating an ESS with a CFPP can enhance the load regulation flexibility of the power system and further optimize the utilization of various energy sources [22]. However, the direct combination of CFPP with ESS and renewable energy sources on the supply side still requires further exploration [23,24]. There is a pressing need to investigate the feasibility, technical complexities, and potential synergies to fully realize the benefits of combining CFPP with energy storage and renewable energy technologies [25,26].…”

Section: Nomenclaturementioning

confidence: 99%

Investigating Load Regulation Characteristics of a Wind-PV-Coal Storage Multi-Power Generation System

Liu,

Sun,

Shi

et al. 2024

ENERGY

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There is a growing need to explore the potential of coal-fired power plants (CFPPs) to enhance the utilization rate of wind power (wind) and photovoltaic power (PV) in the green energy field. This study developed a load regulation model for a multi-power generation system comprising wind, PV, and coal energy storage using realworld data. The power supply process was divided into eight fundamental load regulation scenarios, elucidating the influence of each scenario on load regulation. Within the framework of the multi-power generation system with the wind (50 MW) and PV (50 MW) alongside a CFPP (330 MW), a lithium-iron phosphate energy storage system (LIPBESS) was integrated to improve the system's load regulation flexibility. The energy storage operation strategy was formulated based on the charging and discharging priority of the LIPBESS for each basic scenario and the charging and discharging load calculation method of LIPBESS auxiliary regulation. Through optimization using the particle swarm algorithm, the optimal capacity of LIPBESS was determined to be within the 5.24-4.88 MWh range. From an economic perspective, the LIPBESS operating with CFPP as the regulating power source was 49.1% lower in capacity compared to the renewable energy-based storage mode.

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