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site selection for Beijing car-sharing stations (Lin et al., 2020). Mete ( 2019 ) assessed occupational risks in pipeline construction under the hesitant fuzzy environment.
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Offshore photovoltaic power stations (OPVPS) greatly help solve energy problems and land resource scarcity. A crucial phase of the OPVPS project lifecycle is site selection. Optimal siting of shared energy storage projects from a sustainable development perspective: A two-stage framework A multi-criteria decision-making
Wind-photovoltaic-shared energy storage system can improve the utilization efficiency of renewable energy resources while reducing the idle rate of energy storage resources. Using the geographic information system (GIS) and the multi-criteria decision-making (MCDM) method, a two-stage evaluation model is first developed for site selection of
China has long coast line more than 1800 km, which indicates that many possible SPHS sites are available. According to the resource census results from NEA, total 238 potential SPHS sites are promising including 174 offshore sites and 64 island sites, with a total installed capacity of 42.08 million kW [4].Establishing SPHS stations can
Downloadable (with restrictions)! Wind-photovoltaic-shared energy storage system can improve the utilization efficiency of renewable energy resources while reducing the idle rate of energy storage resources. Using the geographic information system (GIS) and the multi-criteria decision-making (MCDM) method, a two-stage evaluation model is first
Firstly, this paper establishes the mathematical model of shared energy storage system, lists the optimization conditions and objective functions, and lists the economic cost calculation of shared energy storage. Secondly, the IEEE 33 bus is studied by using the improved multi-objective particle swarm optimization algorithm.
Abstract. Wind-photovoltaic-shared energy storage system can improve the utilization efficiency of renewable energy resources while reducing the idle rate
DOI: 10.1016/j.seta.2021.101680 Corpus ID: 242043335; Multi-method combination site selection of pumped storage power station considering power structure optimization @article{Ji2022MultimethodCS, title={Multi-method combination site selection of pumped storage power station considering power structure optimization}, author={Liyan Ji
With the continuous deployment of renewable energy sources, many users in industrial parks have begun to experience a power supply–demand imbalance.Although configuring an energy storage system (ESS) for users is a viable solution to this problem, the currently commonly used single-user, single-ESS mode suffers from low ESS
Pumped storage power plants (PSPP), as an important clean energy technology, have great potential for energy storage and conditioning. However, site selection is the primary issue in PSPP construction, which directly affects its economics, environmental impact and social acceptability.
The pumped storage power station (PSPS) is a special power source that has flexible operation modes and multiple functions. With the rapid economic development in China, the energy demand and the peak-valley load difference of the power grid are continuing to increase. Moreover, wind power, nuclear power, and other new energy
The selection of a desirable site for constructing a pumped hydro energy storage plant (PHESP) plays a vital important role in the whole life cycle. However, little resear ch has been
Hence, considering the various scenarios and electric vehicles'' uncertainties, this paper develops a three-layer planning and scheduling model for the electric vehicle charging station (EVCS) to assist the shared energy storage power station (SESPS) in serving multi-park integrated energy systems. To assess the model''s
The shared energy storage station (SESS) can improve the consumption level of PV power generation. In this study, a reputation factor pricing strategy for an SESS was proposed and a mixed integer linear programming (MILP) model with the goal of maximizing the daily net income of the SESS was established. The optimal
Wind-photovoltaic-shared energy storage system can improve the utilization efficiency of renewable energy resources while reducing the idle rate of energy storage resources.
Jianwei Gao''s 21 research works with 213 citations and 409 reads, including: Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria
To enhance the utilization efficiency of a large number of controllable and adjustable resources, in this study we investigate the optimization and site-selection strategy for
@article{Wu2021OptimalSS, title={Optimal site selection for distributed wind power coupled hydrogen storage project using a geographical information system based multi-criteria decision-making approach: A case in China}, author={Yunna Wu and Feiyang He and Jianli Zhou and Chenghao Wu and Fangtong Liu and Yao Tao and
Energy storage (ES) plays a significant role in modern smart grids and energy systems. To facilitate and improve the utilization of ES, appropriate system design and operational strategies should be adopted. The traditional approach of utilizing ES is the individual distributed framework in which an individual ES is installed for each user
Gao, J.: Optimal site selection study of wind- photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: a two-stage framework. Renewable Energy (2022) Google Scholar Dong, J., Li, Y.: Research on site evaluation method of compressed air energy storage in aquifer.
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Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework. Jianwei Gao, Yaping Wang, Ningbo Huang, Lingli Wei and Zixuan Zhang. Renewable Energy, 2022, vol. 201, issue P1, 1139-1162
This paper proposes a multi-RIES system that integrates RIES station-network synergy and multi-RIES interaction and shared energy storage. (2) Based on the proposed system, research is conducted on building zoning, energy transport pipeline planning, selection of shared energy storage sites, and optimal configuration of
Shared energy storage is an emerging energy storage system. Optimal scheduling can maximize the resources of shared ESSs, thereby improving economic efficiency. This paper explores the optimal scheduling of electricity consumption behavior among shared energy storage users. Mixed integer linear programming is used to establish the optimal
The power generation power of the energy storage system is 422 MW, the air pressure is 3.3 MPa, and the inflation time of the system is 8 h. The gas storage cave is hard rock geology and adopts water sealing method [12, 14]. This paper aims to study the site selection problem of CAES power stations.
Finally, simulation analysis and verification are conducted using an IEEE 33-node test case. The results demonstrate that the proposed optimization and site-selection strategy for shared energy storage stations not only achieves optimal planning decisions, but also serves multiple users and meets the requirements of multiple nodes.
The transformation of rural distribution network into wind–photovoltaic-storage station (WPSS) network can reduce the long-distance transmission loss, reduce the dependence on fossil energy and turn energy structure into
proposes a fast charging station capacity allocation model based on EV path simulation results under a dynamic traffic network model and solves it using a particle swarm optimization algorithm. Zhao et al. (2021) proposes a two-stage site selection and capacity determination method for solar-battery-charging stations based on data-driven
The popularity of hydrogen refueling stations in China is hindered by unreasonable site selection and high initial costs. Built gas stations with large consumer groups and reasonable locations can be expanded into oil-hydrogen combined stations. which can effectively reduce construction costs and approval complexity, improve
Semantic Scholar extracted view of "Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision
A new field of shared energy storage project site selection is studied. •. A two-stage decision framework including GIS and LSGDM method is constructed. •. The
A hybrid probabilistic linguistic term set decision-making evaluation method and its application in the site selection of offshore wind power station. Author links open overlay panel Qingchao Zhou, Chunming Ye This model not only assists in determining the layout of shared energy storage but also contributes to the theoretical
Abstract： In order to effectively suppress the adverse effects of distributed generation and obtain excess profits, an improved multi-objective particle swarm optimization algorithm
Finally, a photovoltaic power station site selection example validates the proposed method. The advantages are demonstrated with sensitivity and comparison analyses. This model not only assists in determining the layout of shared energy storage but also contributes to the theoretical study of geographic information system and LSGDM.
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