Voltage and energy control in distribution systems in the presence of flexible loads considering coordinated charging of electric vehicles

Maintaining a desirable energy and voltage profile in large-scale power distribution systems has been remained a challenging concern particularly due to the rushing arrival of uncertainties and high proliferation of intermittent renewables. This challenge has been exacerbated by an increased interes...

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Bibliographic Details
Published in:Energy (Oxford) 2022-01, Vol.239, p.121880, Article 121880
Main Authors: Hemmatpour, Mohammad Hasan, Rezaeian Koochi, Mohammad Hossein, Dehghanian, Pooria, Dehghanian, Payman
Format: Article
Language:English
Subjects:
Active/reactive power
Adaptive control
Algorithms
Controllable loads
Discharge
Distributed generation
Electric potential
Electric power distribution
Electric vehicle (EV)
Electric vehicle charging
Electric vehicles
Energy distribution
Energy storage
Optimization
Stochastic models
Stochasticity
Uncertainty
Voltage
Voltage profile
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Summary:Maintaining a desirable energy and voltage profile in large-scale power distribution systems has been remained a challenging concern particularly due to the rushing arrival of uncertainties and high proliferation of intermittent renewables. This challenge has been exacerbated by an increased interest in the adoption of highly-uncertain electric vehicle (EV) loads as distributed energy storage (DES) devices since the owners' attitudes and EV's charging and discharging patterns are radically random. In this paper, in addition to the stochastic modeling of the random behavior of EV's charging patterns, EVs' charging statuses are optimally coordinated to support the control of voltage and energy in the system with the adaptive deployment of controllable loads. Moreover, fast and normal charging modes of EVs and the corresponding charging and discharging challenges to the grid are investigated. Distinct scenarios of EVs-only and EV-controllable loads are proposed and investigated through solving an optimization problem. In doing so, improved mixed real and binary vector-based swarm optimization algorithm is used to optimize the distribution system's operation while addressing the impacts of EVs' coordination on energy and voltage control (EVC). The efficiency and applicability of the proposed algorithm are tested and verified on the IEEE 69-bus and 119-bus test systems. •We suggest new energy and voltage control strategy for systems with massive EV loads.•Random behavior of EV's charging patterns is stochastically modeled.•Adaptive usage of controllable loads is pursued to assess the impacts of EV charging.•Two distinct scenarios of EVs-only and EV-controllable loads are studied.
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2021.121880