Department of Electrical and Electronics Engineering

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Author: search.filters.author.Mishra, PuneetSubject: search.filters.subject.Distributed generation

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    Performance assessment of a distribution system by simultaneous optimal positioning of electric vehicle charging stations and distributed generators
    (Elsevier, 2023-01) Mathur, Hitesh Datt; Mishra, Puneet; Mukherjee, Bijoy Krishna
    Extensive penetration of Renewable Energy based Distributed Generator (REDG) units in a Distribution System necessitates its efficient and optimal applicability. Plug-in Electric Vehicles (PEV) is currently gaining importance steadily in a distribution system due to its environmental compatibility. However, suitable positioning of PEV is a mandate as it increases the overall demand of the system and has appreciable impact on the system's technical performance in terms of losses, voltage profile, penetration level, to name a few. This paper proposes a simple apparent power loss driven technique of Electric Vehicle Charging Station (EVCS) placement along with a REDG unit in a distribution system taking time-driven load models into consideration. The initial State of Charge of the PEV is reformulated taking traffic and weather conditions, proportional distance covered by the electric vehicle and non-availability of EVCS into consideration using Dynamic Fault Tree Analysis and Bayesian optimization techniques. An optimum combination of different sets of PEV with proportional distance coverage is considered. Results are validated on the basis of computation of three REDG assessment indices in comparison with an arbitrary slot of positioning of the above elements
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    Optimal Capacity Estimation and Allocation of Distributed Generation Units with Suitable Placement of Electric Vehicle Charging Stations
    (IEEE, 2021) Mathur, Hitesh Datt; Mishra, Puneet
    The optimal capacity estimation and allocations of Distributed Generation (DG) units along with appropriate placement of Electric Vehicle charging stations (EVCS) makes a substantial contribution in curtailing power losses and improving the voltage stability of a system. In this regard, this paper formulates a multi-objective function to minimize the power losses and voltage deviation of buses in the distribution network. The optimization problem is solved using three different types of optimization algorithms, namely Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and Hybrid Particle Swarm Grey Wolf Optimization (HPSOGWO). To simulate the practical situation, voltage- dependent load and various electric vehicle (EV) charging patterns based on the location of EVCS are considered in this study. Solar photovoltaic, wind turbine, and diesel generator- based DGs are taken into account in this study. The proposed algorithm is tested on an IEEE 33 bus network considering different scenarios. The results obtained show that HPSOGWO provides the most optimal solution among all the considered algorithms, with the least power loss and voltage deviation for all scenarios.