Multi-objective scheduling of electric vehicles intelligent parking lot in the presence of hydrogen storage system under peak load management

Despite various challenges and problems, electric vehicle (EV) technologies have been under real attention to be employed in different fields like power systems. Charge/discharge power of such vehicles can help power network to solve some of common problems available in this field like peak time pro...

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Bibliographic Details
Published in:Energy (Oxford) Vol. 163; pp. 338 - 350
Main Authors: Jannati, Jamil, Nazarpour, Daryoush
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 15.11.2018
Elsevier BV
Subjects:
Algorithms
Bi-objective model
Computer simulation
Decision making
Demand response program
Economic conditions
Economic models
Economics
Electric power systems
Electric vehicles
Electrical loads
Emission
Emissions
Environmental objective
Environmental performance
Fuzzy decision making method
hydrogen
Hydrogen storage
Intelligent parking lot
Multiple objective analysis
Nonrenewable resources
Optimization
Parking
Peak load
Renewable resources
Simulation
Sustainable yield
Time of use
ε-constraint algorithm
Emission
ε-constraint algorithm
Fuzzy decision making method
Demand response program
Bi-objective model
Intelligent parking lot
ISSN:0360-5442, 1873-6785
Online Access:Get full text
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Summary:Despite various challenges and problems, electric vehicle (EV) technologies have been under real attention to be employed in different fields like power systems. Charge/discharge power of such vehicles can help power network to solve some of common problems available in this field like peak time problems. Also, penetration of these vehicles can help operators to enhance environmental performance of power systems. This paper purposed to determined advantages of EVs in power systems and environmental performance. In this paper, a bi-objective optimization model has been proposed for economic operation and environmental performance of intelligent parking lot (IPL) containing EVs under employment of time-of-use (TOU) rates of demand response program (DRP). To solve such a problem, ε-constraint and fuzzy decision making methods are utilized and results representing efficiency and effectiveness of employed techniques are presented for comparison. Studied sample model in this paper is composed of IPL connected to upstream net, renewable and non-renewable resources and hydrogen storage system. An MIP model has been used to model mentioned bi-objective problem and mentioned model is simulated under GAMS. Obtained results from simulations revealed that due to positive implementation DRP, total emission and operation cost of IPL have been reduced up to 3.99% and 1.83%, respectively. This means that both economic and environmental objectives are satisfied. •Optimal economic-emission operation of intelligent parking lot (IPL) is obtained.•Hydrogen storage system is used for more flexibility of energy management.•ε-constraint algorithm is used to solve bi-objective problem.•Fuzzy decision making method is used to determine trade-off solutions.•DRP is used to enhance economic and environmental operation of IPL.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2018.08.098