Utility-Scale Shared Energy Storage: Business models for utility-scale shared energy storage systems and customer participation

2021 ◽  
Vol 9 (4) ◽  
pp. 47-54
Author(s):  
Mohammed Ben-Idris ◽  
Michael Brown ◽  
Matthew Egan ◽  
Zhenyu Huang ◽  
Joydeep Mitra
Author(s):  
Wensheng Luo ◽  
Sebastian Stynski ◽  
Andrii Chub ◽  
Leopoldo Garcia Franquelo ◽  
Mariusz Malinowski ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3651 ◽  
Author(s):  
Eklas Hossain ◽  
Hossain Mansur Resalat Faruque ◽  
Md. Samiul Haque Sunny ◽  
Naeem Mohammad ◽  
Nafiu Nawar

Driven by global concerns about the climate and the environment, the world is opting for renewable energy sources (RESs), such as wind and solar. However, RESs suffer from the discredit of intermittency, for which energy storage systems (ESSs) are gaining popularity worldwide. Surplus energy obtained from RESs can be stored in several ways, and later utilized during periods of intermittencies or shortages. The idea of storing excess energy is not new, and numerous researches have been conducted to adorn this idea with innovations and improvements. This review is a humble attempt to assemble all the available knowledge on ESSs to benefit novice researchers in this field. This paper covers all core concepts of ESSs, including its evolution, elaborate classification, their comparison, the current scenario, applications, business models, environmental impacts, policies, barriers and probable solutions, and future prospects. This elaborate discussion on energy storage systems will act as a reliable reference and a framework for future developments in this field. Any future progress regarding ESSs will find this paper a helpful document wherein all necessary information has been assembled.


Author(s):  
Nicholas Miller ◽  
Devon Manz ◽  
Jim Roedel ◽  
Paul Marken ◽  
Erik Kronbeck

2016 ◽  
Vol 7 (4) ◽  
pp. 1778-1790 ◽  
Author(s):  
Guishi Wang ◽  
Georgios Konstantinou ◽  
Christopher D. Townsend ◽  
Josep Pou ◽  
Sergio Vazquez ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1244
Author(s):  
Heejung Park

With recent technology advances and price drop, battery energy storage systems (BESSs) are considered as a promising storage technology in power systems. In this paper, a stochastic BESS planning model is introduced, which determines optimal capacity and durations of BESSs to co-locate utility-scale solar photovoltaic (PV) systems in a high-voltage power system under the uncertainties of renewable resources and electric load. The optimization model minimizing total costs aims to obtain at least 20% electric energy from renewable sources, while satisfying all the physical constraints. Furthermore, two-stage stochastic programming is applied to formulate mathematical optimization problem to find out optimal durations and capacity of BESSs. In scheduling BESSs, chronology needs to be considered to represent temporal changes of BESS states; therefore, a scenario generation method to generate random sample paths with 1-h time step is adopted to explicitly represent uncertainty and temporal changes. The proposed mathematical model is applied to a modified IEEE 300-bus system that comprises 300 electric buses and 411 transmission lines. Optimal BESS durations and capacity are compared when different numbers of scenarios are employed to see the sensitivity to the number of scenarios in the model, and “value of stochastic solution” (VSS) is calculated to verify the impacts of inclusion of stochastic parameters. The results show that the building costs and capacity of BESSs increase when the number of scenarios increases from 10 to 30. By inspecting VSSs, it is observed that an explicit representation of stochastic parameters affects the optimal value, and the impacts become larger when the larger number of scenarios are applied.


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