Hybrid improved Sparrow Search Algorithm and sequential quadratic programming for solving the cost minimization of a hybrid photovoltaic, diesel generator, and battery energy storage system-Reference-Cited by-同舟云学术

Hybrid improved Sparrow Search Algorithm and sequential quadratic programming for solving the cost minimization of a hybrid photovoltaic, diesel generator, and battery energy storage system

Published:2021-04-04 Issue: Volume: Page:1-17
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Tian Hao¹²,Wang Keqing¹,Yu Bing¹,Song Changpo¹,Jermsittiparsert Kittisak³⁴⁵^ORCID

Affiliation:

1. Binjiang College of Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China

2. State Key Lab of Control and Simulation of Power Systems and Generation Equipments, (Dept. Of Electrical Engineering, Tsinghua University), Beijing, China

3. Institute of Research and Development, Duy Tan University, Da Nang, Vietnam

4. Faculty of Humanities and Social Sciences, Duy Tan University, Da Nang, Vietnam

5. MBA School, Henan University of Economics and Law, Henan, China

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2021.1905111

Reference45 articles.

1. Multi-objective energy management in a micro-grid

2. Extracting Appropriate Nodal Marginal Prices for All Types of Committed Reserve

3. Ant Lion Optimization Algorithm for optimal location and sizing of renewable distributed generations

4. Renewable Energy Sources and Battery Forecasting Effects in Smart Power System Performance

5. Optimal sizing and location based on economic parameters for an off-grid application of a hybrid system with photovoltaic, battery and diesel technology

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