Coordinated effect of PHEVs with DGs on distribution network

Jha, Bablesh Kumar; Kumar, Abhishek; Singh, Devender; Misra, Rakesh R.

doi:10.1002/etep.2800

Cited by 13 publications

(4 citation statements)

References 29 publications

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“…The rise in reactance per resistance ratio in distribution system leads to reactive power consumption and hence the voltage profile is reduced [4,5]. Thus it adversely influences the power quality of the system.…”

Section: Literature Surveymentioning

confidence: 99%

Reliability Improvement of a Hybrid Electric Vehicle Integrated Distribution System

Sripriya

Kumar²,

Joseph³

et al. 2023

Energies

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The recent trend in hybrid electric vehicles (HEV) has increased the need for vehicle charging stations (VCS) in the distribution system. In this condition, the additional load in the system leads to an increase in power loss, reduction in voltage and reliability of the system. The drawbacks of introducing this additional load can be rectified by integrating distributed generation (DG) into the distribution system. In this paper, the ideal location for placing DG is identified through the voltage stability index. The power loss minimization objective function is formulated with all the required constraints to estimate the size of DG required for the distribution system. Moreover, loss of load probability is used as a reliability assessment technique, through which the system reliability is analyzed after assessing the impact of integrating VCS and DG. Simulations are carried out to compare the following cases: a system without VCS and DG, a system that has only VCS and a system that has both VCS and DG. The IEEE 12-bus and 33-bus test systems are considered. In the 12-bus system with both VCS and DG, the power loss is reduced by 56% when compared with the system with only VCS, while the net reliability is also improved. The reliability of the system is evaluated for a 24 h load variation. The proposed work provides an efficient tool to improve the reliability of the system with support from DG.

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Section: Literature Surveymentioning

confidence: 99%

Reliability Improvement of a Hybrid Electric Vehicle Integrated Distribution System

Sripriya

Kumar²,

Joseph³

et al. 2023

Energies

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“…It necessitates the adoption of a compromised strategy to attain an optimum solution. The existing studies maximized the accommodation of PEVs [19,25,26,28,[30][31][32][33][34][35] while others reduced network power losses [21][22][23]27,29,[36][37][38][39][40][41]. Thus, the combined handling of both objectives within a single framework has been ignored, which is not a practical approach.…”

Section: Research Contributionsmentioning

confidence: 99%

“…Secondly, from the available literature, it is observed that the optimization problems in PEV integrated networks are solved with analytical algorithms [19,26,30,32,34,35,38], metaheuristic algorithms [21,23,25,27,28,31,33,36,37,[39][40][41] and hybrid metaheuristic algorithms [22]. It is also observed that the optimal power flow method or Monte Carlo simulations are among the analytical methods used in the literature.…”

Section: Research Contributionsmentioning

confidence: 99%

Effective Deterministic Methodology for Enhanced Distribution Network Performance and Plug-in Electric Vehicles

et al. 2023

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The rapid depletion of fossil fuel motivates researchers and policymakers to switch from the internal combustion engine (ICE) to plug-in electric vehicles (PEVs). However, the electric power distribution networks are congested, which lowers the accommodation of PEVs and produces higher power losses. Therefore, the study proposes an effective deterministic methodology to maximize the accommodation of PEVs and percentage power loss reduction (%PLR) in radial distribution networks (RDNs). In the first stage, the PEVs are allocated to the best bus, which is chosen based on the loading capacity to power loss index (LCPLI), and the accommodation profile of PEVs is developed based on varying states of charge (SoC) and battery capacities (BCs). In the second stage, the power losses are minimized in PEV integrated networks with the allocation of DG units using a recently developed parallel-operated arithmetic optimization algorithm salp swarm algorithm (AOASSA). In the third stage, the charging and discharging ratios of PEVs are optimized analytically to minimize power losses after planning PEVs and DGs. The outcomes reveal that bus-2 is the most optimal bus for accommodation of PEVs, as it has the highest level of LCPLI, which is 9.81 in the 33-bus system and 28.24 in the 69-bus system. The optimal bus can safely accommodate the largest number of electric vehicles, with a capacity of 31,988 units in the 33-bus system and 92,519 units in the 69-bus system. Additionally, the parallel-operated AOASSA mechanism leads to a reduction in power losses of at least 0.09% and 0.25% compared with other algorithms that have been previously applied to the 33-bus and 69-bus systems, respectively. Moreover, with an optimal charging and discharging ratio of PEVs in the IEEE-33-bus radial distribution network (RDN), the %PLR further improved by 3.08%, 4.19%, and 2.29% in the presence of the optimal allocation of one, two and three DG units, respectively. In the IEEE-69-bus RDN, the %PLR further improved by 0.09%, 0.09%, and 0.08% with optimal charge and discharge ratios in the presence of one, two, and three DG units, respectively. The proposed study intends to help the local power distribution companies to maximize accommodation of PEV units and minimize power losses in RDNs.

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“…The optimal size‐location pairs have been obtained using algorithm proposed in section 5 for all the DG's. The detailed characteristics of DG's including the type of DG's and the hourly availability are presented in Reference .…”

Section: Case Studymentioning

confidence: 99%

A modified current injection load flow method under different load model of EV for distribution system

Jha

Kumar

Dheer

et al. 2019

Int Trans Electr Energ Syst

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Summary In this article, a modified single‐phase current injection based load flow method for the distribution network with different load models of electric vehicle (EV) is proposed. The equations related to injected currents are non‐linear and are represented in rectangular co‐ordinates. The PQ and PV bus representations in load flow formulation are modified for the three different load models of EV including polynomial or ZIP load model (EV LM‐I), voltage dependent load model (EV LM‐II) and constant current load model (EV LM‐III). In addition, a stochastic modelling of EV load and selection of candidate locations for DGs integration are also presented. The effect of the proposed EV load models in terms of real power loss index (ILP), reactive power loss index (ILQ), voltage profile index (IV D) and the MVA capacity index (IC) has been studied on IEEE 38‐bus distribution system. Based on the values of ILP, ILQ, IV D and IC, best load model for EVs from among the load models EV LM‐I, EV LM‐II and EV LM‐III is finally obtained.

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Coordinated effect of PHEVs with DGs on distribution network

Cited by 13 publications

References 29 publications

Reliability Improvement of a Hybrid Electric Vehicle Integrated Distribution System

Reliability Improvement of a Hybrid Electric Vehicle Integrated Distribution System

Effective Deterministic Methodology for Enhanced Distribution Network Performance and Plug-in Electric Vehicles

A modified current injection load flow method under different load model of EV for distribution system

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