Optimal planning of energy storage technologies considering thirteen demand scenarios from the perspective of electricity Grid: A Three-Stage framework. (1st February 2021)

• Record Type: Journal Article
• Authors: Wu, Yunna; Zhang, Ting; Zhong, Kexin; Wang, Linwei; Xu, Chuanbo; Xu, Ruhang
• Is Part Of: Energy conversion and management. Volume 229(2021)
• Publication Date: 2021-02-01
• Subjects: Optimal planning -- Demand scenario from electricity grid -- Energy storage -- Interval fuzzy number -- Interval intuitionistic fuzzy numbers -- PPRMETHEE-II; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2020.113789
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: Propose a stable and efficient critical features analysis and portfolio model. Identify the development situations of different energy storage technologies. Establish a scientific and comprehensive energy storage optimal planning framework. Formulate the optimal planning strategies for electricity grid energy storage. Put forward recommendations for the development direction of each energy storage. Abstract: Planning rational and profitable energy storage technologies (ESTs) for satisfying different electricity grid demands is the key to achieve large renewable energy penetration in management. The complexity related to the planning of ESTs lies in diversities of different ESTs properties, uniqueness and varieties of electricity grid demands and uncertainties of the decision-making environment. However, existing research cannot solve above problems simultaneously. To fill such gap, this paper focuses on the optimal planning of various ESTs considering thirteen demand scenarios in electricity grid through establishing a three stage multi criteria decision making framework under the uncertain environment. Firstly, critical features of ESTs in technology and application conditions and constrains (TCC, ACC) are identified and deeply analyzed integrating with the characteristics of thirteen ESTs demand scenarios by cluster analysis and correlation text. Following that, a three-stage planning framework is established in TCC, ACC and comprehensive aspect through a Lagrange optimized comprehensive subjective and objective weight determination model based interval fuzzy number (IVFN) and interval intuitionistic fuzzy numbers (IVIFN) – PROMETHEE-II model. The results show that the optimal planning vary with the demand scenarios from electricity grid. This research has important guiding significance for overall planning and application management of renewable energy and ESTs.