An Optimal Methodology for Mitigating the Impacts of EVs and Solar Systems on the Grid by Utilizing Existing Residential Battery Storage Capacity With No Further Grid Upgrades

Zahedi, Rafi; Ahmadian, Amirhossein; Sedghisigarchi, Kourosh; Gadh, Rajit

doi:10.1109/itec55900.2023.10186949

Cited by 2 publications

(2 citation statements)

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“…The proposed approach is designed to reduce the total active power loss and voltage deviations over a 24-hour operational period, enabling the utility to implement optimal charging and discharging commands through Particle Swarm Optimization (PSO). Figure 4 illustrates the flowchart outlining this methodology [14].…”

Section: Proposed Methodologymentioning

confidence: 99%

“…The primary objective of this study is to address the challenges posed by the increasing adoption of EV chargers and solar systems within distribution networks, specifically targeting power losses and deviations in bus voltage. To achieve this goal, the proposed model has been developed in accordance with the IEEE-33 bus radial distribution standard based on [14]. It is assumed throughout this study that every residential dwelling connected to each bus incorporates a solar power generation system.…”

Section: System Modelmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Engagement of Residential Battery Storage to Alleviate Grid Upgrades Caused by EVs and Solar Systems

Ahmadian,

Zhang,

Gowda

et al. 2024

Adv. sci. technol. eng. syst. j.

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The integration of distributed energy resources has ushered in a host of complex challenges, significantly impacting power quality in distribution networks. This work studies these challenges, exploring issues such as voltage fluctuations and escalating power losses caused by the integration of solar systems and electric vehicle (EV) chargers. We present a robust methodology focused on mitigating voltage deviations and power losses, emphasizing the allocation of a Permitted Percentage (PP) of battery-based solar systems within residential areas endowed with storage capabilities.A key facet of this research lies in its adaptability to the changing landscape of electric transportation. With the rapid increase of electric trucks on the horizon, our proposed model gains relevance. By tactically deploying PP to oversee the charging and discharging of batteries within residential solar systems, utilities are poised not only to assist with grid resilience but also to cater to the upcoming demands spurred by the advent of new EVs, notably trucks. To validate the efficacy of our proposed model, rigorous simulations were conducted using the IEEE 33-bus distribution network as a designed testbed. Leveraging advanced Particle Swarm Optimization techniques, we have deciphered the optimal charging and discharging commands issued by utilities to energy storage systems. The outcomes of these simulations help us understand the transformative potential of various PP allocations, shedding light on the balance between non-battery-based and battery-based solar residences. This research underscores the need for carefully crafted approaches in navigating the complexities of modern grid dynamics amid the anticipated increase in electric vehicles.

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Section: Proposed Methodologymentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%