Optimal Sizing of Energy Storage System to Reduce Impacts of Transportation Electrification on Power Distribution Transformers Integrated With Photovoltaic

Pradhan, Pravakar; Ahmad, Iftekhar; Habibi, Daryoush; Aziz, Asma; Al-Hanahi, Bassam; Masoum, Mohammad A. S.

doi:10.1109/access.2021.3122455

Cited by 7 publications

(2 citation statements)

References 43 publications

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“…Similar to PSO, AFS uses some strategies of fish school foraging for reference. In a fish school, each fish obtains the external environment information of its own time and space by itself, and each fish in the fish school shares information with each other to find food through the combination of foraging, clustering, tailgating and random behavior [12].…”

Section: Afs Algorithmmentioning

confidence: 99%

An Adaptive and Environmentally Friendly Simulation Optimization Method for Optical Storage Microgrid

Ji¹,

Wu²,

Wu³

et al. 2022

Advances in Transdisciplinary Engineering

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In recent years, with the global warming, distributed photovoltaic and energy storage have developed rapidly under the background of carbon peak and carbon neutralization. Photovoltaic can be added to the microgrid as a distributed energy, but the volatility and randomness of photovoltaic itself will reduce the stability of the entire electric system, and even affect the operation of the microgrid. The introduction of energy storage media brings a new chapter to improve the stability of power system, improving the income of microgrid, and reducing the volatility caused by photovoltaic power generation. With the gradual implementation of the real-time electricity price policy, the use of energy storage system to obtain economic benefits will be an economic direction of the future micro grid. Therefore, based on the analysis of the operation principle of photovoltaic and energy storage, this paper uses MATLAB to establish the simulation control model of photovoltaic and storage DC bus grid-connected, and verifies the rationality of photovoltaic and storage grid-connected. Secondly, the multi-objective mathematical modeling was carried out by minimizing the total cost, pollutant emission and energy storage utilization of microgrid. Finally, an improved multi-objective PSO algorithm is proposed, which combines the fast optimization ability of particle swarm optimization algorithm with the strong global search ability of artificial fish swarm algorithm, optimizes the economic operation of photovoltaic storage microgrid, and improves the solution performance of the algorithm.

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Section: Afs Algorithmmentioning

confidence: 99%

An Adaptive and Environmentally Friendly Simulation Optimization Method for Optical Storage Microgrid

Ji¹,

Wu²,

Wu³

et al. 2022

Advances in Transdisciplinary Engineering

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show abstract

“…In [25] and [26], photovoltaics (PV) and BESS have been considered to reduce the charging station transformer overloading, so as to improve the transformer life. And reference [27] further proposes a strategy for optimal sizing of BESS. In [28], a stochastic energy management scheme of electric bus charging stations with PV and BSS integrated is investigated to cut the charging cost of electric buses.…”

Section: Introductionmentioning

confidence: 99%

Operation optimization of battery swapping stations with photovoltaics and battery energy storage stations supplied by transformer spare capacity

Zhang

Yao

et al. 2023

IET Generation Trans & Dist

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Driven by the demand for carbon emission reduction and environmental protection, battery swapping stations (BSS) with battery energy storage stations (BESS) and distributed generation (DG) have become one of the key technologies to achieve the goal of emission peaking and carbon neutrality. Therefore, this paper proposes a strategy to optimize the operation of BSS with photovoltaics (PV) and BESS supplied by transformer spare capacity. Firstly, it introduces the operation mechanism of BSS and uses the spare capacity of building special transformers and the roof PV to supply power to BSS to avoid the investment of transformers. Secondly, this paper establishes the load model of BSS and proposes the charging rules of battery swapping. Thirdly, a segmented pricing mechanism for the rental price of special transformers is formulated to guide BSS operators to preferentially rent spare capacity during low load rate periods. Aiming at the maximum daily profit of BSS, an optimization model is established to optimize the number of batteries to be charged and the charging status of BESS in each period; on this basis, the demand response model is further proposed. Simulation results show that the proposed strategy can improve the daily profit of BSS through shifting load. And the configuration of BESS can improve the battery swapping capacity and peak‐shaving ability. Moreover, the exponential segmented pricing mechanism can greatly reduce the number of high load periods and reduce the burden on the power supply.

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Sustainable Buildings: A Comprehensive Review and Classification of Challenges and Issues, Benefits, and Future Directions

Ghahramani,

Habibi,

Ghahramani

et al. 2023

Indoor Environment and Sustainable Building

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Optimal Sizing of Energy Storage System to Reduce Impacts of Transportation Electrification on Power Distribution Transformers Integrated With Photovoltaic

Cited by 7 publications

References 43 publications

An Adaptive and Environmentally Friendly Simulation Optimization Method for Optical Storage Microgrid

An Adaptive and Environmentally Friendly Simulation Optimization Method for Optical Storage Microgrid

Operation optimization of battery swapping stations with photovoltaics and battery energy storage stations supplied by transformer spare capacity

Sustainable Buildings: A Comprehensive Review and Classification of Challenges and Issues, Benefits, and Future Directions

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