NDLI: Electric vehicles reactive power management and reconfiguration of distribution system to minimise losses

Content Provider	IET Digital Library
Author	Singh, Jyotsna Tiwari, Rajive
Abstract	This study investigates the optimal operation of distribution feeder reconfiguration (DFR) strategy in smart distribution system integrated with electric vehicles (EVs) and wind power generation. A two-stage framework is proposed for real and reactive power management and DFR. In the first stage, demand dispatch of EVs is coordinated to utilise available wind power and minimise the total load variations. In the second stage, a comprehensive problem formulation is developed to minimise the losses in the system with simultaneous EVs reactive power management and DFR. A genetic algorithm is used to solve this two-stage optimisation problem. A case study of 33-bus radial distribution system is presented to highlight the efficacy of proposed approach. The obtained results are quantitatively assessed in terms of losses and node voltages. A comparative benchmarking analysis is presented to substantiate the role of DFR and reactive power capability of EVs in improving the system performance.
Starting Page	6285
Ending Page	6293
Page Count	9
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 25, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/25
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0375
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-11-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	33-bus Radial Distribution System Demand Dispatch DFR Distribution Feeder Reconfiguration Distribution Network Electric Vehicle Energy Management System Genetic Algorithm Load Flow Load Variation Optimisation Technique Power System Economics Power System Managemen Power System Operation Reactive Power Reactive Power Capability Reactive Power Management Reactive Power Reconfiguration Smart Distribution System Transportation Two-stage Framework Two-stage Optimisation Problem Wind Power Wind Power Generation Wind Power Plant
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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