Energy management of an intelligent parking lot equipped with hydrogen storage systems and renewable energy sources using the stochastic p-robust optimization approach

Habib，Salman1; Aghakhani，Sina2; Ghasempour Nejati，Mobin3; Azimian，Mahdi4; Jia，Youwei1; Ahmed，Emad M.5,6

2023-09-01

10.1016/j.energy.2023.127844

Energy   影响因子和分区

0360-5442

1873-6785

Transportation electrification is an undeniable trend for moving towards sustainable energy systems. Therefore, electric intelligent parking lots (IPL) enhanced with renewable energy sources (RESs) and hydrogen storage systems (HSSs) play an essential role in reaching multiple techno-environmental purposes. In this regard, this paper proposes a novel energy management framework for HSS-based IPL considering risk management approach and demand response programs. The uncertainties of input parameters such as solar irradiation and its temperature, wind speed, energy tariff of the upper grid, and IPL's demand are captured into the model through two strategies; the stochastic optimization method (SOM) and the stochastic p-robust optimization approach (SPROA). The SPROA is applied to model the risk-based form of the IPL to minimize the total expected expenditure of the IPL and its maximum related regret (MRR). Finally, the proposed approach is applied to a typical IPL and the results demonstrate the effectiveness of the proposed approach for conservative operators.

Electric vehicles (EVs) Hydrogen storage system (HSS) Intelligent parking lot Risk management Stochastic optimization method (SOM) Stochastic p-robust optimization approach

SCI ; EI

英语

第一

National Natural Science Foundation of China[72071100];Shenzhen Technical Project[JCYJ20210324104410030];

Thermodynamics ; Energy & Fuels

Thermodynamics ; Energy & Fuels

WOS:001007198000001

PERGAMON-ELSEVIER SCIENCE LTD

20232114121073

Hydrogen storage ; Natural resources ; Optimization ; Renewable energy resources ; Risk management ; Stochastic models ; Stochastic systems ; Wind

Atmospheric Properties:443.1 ; Gas Fuels:522 ; Energy Management and Conversion:525 ; Energy Resources and Renewable Energy Issues:525.1 ; Control Systems:731.1 ; Optimization Techniques:921.5 ; Probability Theory:922.1 ; Systems Science:961

ENGINEERING

2-s2.0-85159629443

Scopus

1.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China
2.Department of Industrial and Manufacturing Systems Engineering,Iowa State University,United States
3.Graduate School of Management and Economics,Sharif University of Technology,Tehran,Iran
4.Department of Electrical and Computer Engineering,Kashan Branch,Islamic Azad University,Kashan,Iran
5.Department of Electrical Engineering,College of Engineering,Jouf University,Sakaka,72388,Saudi Arabia
6.Department of Electrical Engineering,Faculty of Engineering,Aswan University,Aswan,81542,Egypt

Habib，Salman,Aghakhani，Sina,Ghasempour Nejati，Mobin,et al. Energy management of an intelligent parking lot equipped with hydrogen storage systems and renewable energy sources using the stochastic p-robust optimization approach[J]. Energy,2023,278.

Habib，Salman,Aghakhani，Sina,Ghasempour Nejati，Mobin,Azimian，Mahdi,Jia，Youwei,&Ahmed，Emad M..(2023).Energy management of an intelligent parking lot equipped with hydrogen storage systems and renewable energy sources using the stochastic p-robust optimization approach.Energy,278.

Habib，Salman,et al."Energy management of an intelligent parking lot equipped with hydrogen storage systems and renewable energy sources using the stochastic p-robust optimization approach".Energy 278(2023).