Optimal Scheduling of Hydrogen Storage under Economic and Environmental Priorities in the Presence of Renewable Units and Demand Response. (April 2019)

• Record Type: Journal Article
• Authors: Seyyedeh-Barhagh, Sahar; Majidi, Majid; Nojavan, Sayyad; Zare, Kazem
• Is Part Of: Sustainable cities and society. Volume 46(2019)
• Publication Date: 2019-04
• Subjects: Hydrogen storage system (HSS) -- Bi-objective model -- Environmental performance -- Renewable units -- Weighted sum technique and max-min fuzzy satisfying approach -- Demand response program (DRP); Sustainable urban development -- Periodicals; Sustainable buildings -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.76
• DOI: 10.1016/j.scs.2018.12.034
• Languages: English
• ISSNs: 2210-6707

Abstract

Highlights: Bi-objective model for optimal economic-environmental operation of HSS. Weighted sum technique to solve the proposed model. Max-min fuzzy satisfying approach to select the trade-off solution. Reduction of cost of microgrid due to implementation of DRP. Abstract: Due to arisen concerns over emission of different pollutant gases, generation of clean energy is an important issue in energy systems. Although, economic goals have been always prior to such environmental issues, there has been great efforts to consider environmental issues in the scheduling of power systems. Hence, in this paper, a bi-objective scheduling framework is proposed for hydrogen storage system (HSS) to optimize performance of HSS from both economic and environmental viewpoints. The proposed bi-objective model is solved via weighted sum approach and max-min fuzzy satisfying technique is implemented to determine the trade-off solution between the conflicting objective functions. It is noteworthy that energy consumers can participate in demand response program (DRP) to enhance the performance of system. The proposed model is studied regarding a sample microgrid energy system under a mixed-integer linear programming (MILP) and general algebraic modeling system (GAMS) is used to solve it. According to the obtained results in typical days in summer and winter, total operating cost of system under DRP is reduced which represents that economic goals of microgrid are prior to environmental ones under DRP in different seasonal conditions.