Dynamic optimal power flow with cross entropy covariance matrix adaption evolutionary strategy for systems with electric vehicles and renewable generators-Reference-Cited by-同舟云学术

Dynamic optimal power flow with cross entropy covariance matrix adaption evolutionary strategy for systems with electric vehicles and renewable generators

Published:2021-02-24 Issue:7 Volume:45 Page:10869-10881
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Sarda Jigar¹^ORCID,Pandya Kartik¹,Lee Kwang Y.²

Affiliation:

1. Department of Electrical Engineering, Chandubhai S. Patel Institute of Technology Charotar University of Science and Technology (CHARUSAT) Changa Gujarat India

2. Department of Electrical & Computer Engineering University of Baylor Boulder Texas USA

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.6571

Reference35 articles.

1. Optimal power flow with emission and non-smooth cost functions using backtracking search optimization algorithm

2. The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook

3. Aggregated Impact of Plug-in Hybrid Electric Vehicles on Electricity Demand Profile

4. Using fleets of electric-drive vehicles for grid support

5. Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation

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