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It''s an important attribute of CES to provide an interactive bridge for multiple types of energy storage and multiple users. As shown in Fig. 1, the CES operator builds a resource aggregation platform on the supply side of the energy storage industry and realize the sharing application of energy storage resources for multiple individual
Through sensitivity and comparative analyses, site A 3 is identified as the optimal location, which facilitates the layout of wind-photovoltaic-hybrid energy storage projects. Sustainable stationary hydrogen storage application selection with interval-valued intuitionistic fuzzy AHP
Considering whole-life-cycle cost of the self-built energy storage, leasing and trading cost of the CES and penalty cost of wind abandonment and smooth power shortage, an optimal configuration
At the same time, the optimal selection of energy storage nodes can accelerate the realization of value increment in the wind power value chain. In this study, we combine Interval type-2 fuzzy number and Grey Theory the Interval type-2 fuzzy number with Cumulative Prospect Theory, which is called IGCPT, and select the optimal energy
Semantic Scholar extracted view of "Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making:
The task of site selection for electric vehicle charging stations (EVCS) is hugely important from the perspective of harmonious and sustainable development. However, flaws and inadequacies in the currently used multi-criteria decision making methods could result in inaccurate and irrational decision results. First of all, the
Secondly, this paper proposes a two-stage macro and micro decision framework for the site selection of wind-photovoltaic-hybrid energy storage projects.
A simple Hierarchical Analysis Process (AHP) is used to select the optimal locations for electric vehicle charge stations. The proposed method is applied in Kish (an island in the south of Iran
Abstract. Wind-photovoltaic-shared energy storage system can improve the utilization efficiency of renewable energy resources while reducing the idle rate of
Additionally, a cluster scheduling matching strategy was designed for small energy storage devices in cloud energy storage mode, utilizing dynamic information of power demand, real-time
A scientific and reasonable siting decision is the key to ensure the smooth operation and positive results of the project. In this paper, a grey multi-criteria decision
As an important application scenario, renewable energy accommodation is also considered in the research works. Based on geographic information systems and multi-criteria decision-making methods, a
Pumped-storage power station (PPS) will play an important role in the green and low-carbon energy era of "source-grid-load-storage" synergy and multi-energy complementary optimization. In this context, this paper puts forward a PPS selection evaluation index system and combination evaluation model for energy internet.
In the meanwhile, CES operator installs centralized storage and operates them centrally according to all consumers'' storage demand. In this paper, from the perspective of the CES operator, we propose a bi-level model for optimal energy storage capacity pricing
Cloud energy storage (CES) can provide users with leasing energy storage service at a relatively lower price, and can provide energy trading service. Wind farms can lease CES and participate in energy transaction to reduce the cost of energy storage and suppress wind power fluctuations.
In this paper, CES in multi-energy systems (ME-CES) is proposed to make use of energy storage not only from electricity storage but also from District Heating System (DHS) and Natural Gas System (NGS). The optimal scheduling approach is proposed to
The reasonable allocation of the battery energy storage system (BESS) in the distribution networks is an effective method that contributes to the renewable energy sources (RESs) connected to the power grid. However, the site and capacity of BESS optimized by the traditional genetic algorithm is usually inaccurate. In this paper, a power
Energies 2016, 9, 157 2 of 20 charging scheduling [5–8], energy consumption [9–12] and the impacts on the power system [13,14] and so on. Up till now, only a few scholars have studied the topic of electric
Choosing by advantages method CBA''s tabular approach is utilized for solar power plant site selection. As illustrated in Fig. 3, the tabular CBA method comprises of six steps 58: 1. Determining
In this paper, a decision support tool for energy storage selection is proposed; adopting a multi-objective optimization approach based on an augmented ε
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