Q-Learning Based Commercial Electric Vehicles Scheduling in a Renewable Energy Dominant Distribution Systems-Reference-Cited by-同舟云学术

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Q-Learning Based Commercial Electric Vehicles Scheduling in a Renewable Energy Dominant Distribution Systems

Published:2023-09-11 Issue: Volume: Page:1-14
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Velamuri Suresh¹,Sudabattula Suresh Kumar²,Kantipudi M. V. V. Prasad³,Prabaharan Natarajan⁴^ORCID

Affiliation:

1. Eaton Research Labs, Eaton India Innovation Centre, Pune, Maharashtra, India

2. School of Electronics & Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India

3. Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, India

4. School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2251475

Reference30 articles.

1. Who saves money buying electric vehicles? Heterogeneity in total cost of ownership

2. A MILP model for optimal renewable wind DG allocation in smart distribution systems considering voltage stability and line loss

3. Improved Heap-Based Optimizer for DG Allocation in Reconfigured Radial Feeder Distribution Systems

4. Analysing the impact of optimally allocated solar PV-based DG in harmonics polluted distribution network

5. Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing electric vehicle scheduling strategies for advanced distribution system planning and operation with comprehensive cost-benefit analysis;Energy;2024-10

2. The Impact of the Presence of a High Number of Electric Vehicles in Future Smart Cities – A Review;Electric Power Components and Systems;2024-02-16

3. A novel modified Archimedes optimization algorithm for optimal placement of electric vehicle charging stations in distribution networks;Alexandria Engineering Journal;2023-12

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