Economic feasibility through the optimal capacity calculation model of an energy storage system connected to solar power generator

2019 ◽  
Vol 31 (5) ◽  
pp. 860-869 ◽  
Author(s):  
Min-Su Kang ◽  
Young-Kwon Park ◽  
Kyung-Tae Kim
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Energy Storage ◽  
Economic Analysis ◽  
Economic Efficiency ◽  
Storage System ◽  
Energy Storage System ◽  
Rate Of Return ◽  
Internal Rate Of Return ◽  
Optimal Capacity

In this study, the optimal capacity of a battery and power conditioning system (PCS) of energy storage system were calculated. In addition, economic analysis was conducted to determine the optimal equipment standard, taking the government support plan into account. In addition, the changes in the power generation pattern were examined when the energy storage system and photovoltaic (PV) were connected to verify the power peak management efficiency of the energy storage system. Moreover, the effect of the energy storage system support policy was assessed by comparing the economic efficiency of single-PV equipment and energy storage system-connected equipment by the internal rate of return. Internal rate of return was analyzed by the change in cost of energy storage system equipment and the price of system marginal price/renewable energy certificate, which was a sales factor, and used for economic forecasting of the energy storage system. To accomplish this, the 2015 power generation output data (daily average 3.69 h power generation) of LG Hausys Ulsan station were converted to small-scale (3 MW) and large-scale (10 MW) solar power and a model that calculated the factor capacity of battery and the PCS capacity of the energy storage system was then constructed. Furthermore, the selected battery capacity and PCS capacity were analyzed separately by economic analysis to propose an energy storage system equipment standard, which could guarantee the optimal economic efficiency. Finally, based on the “Guideline for Management and Operation of Mandatory Supply for New and Renewable Energy” established by the Ministry of Commerce Industry and Energy, the profit model applied to the economic analysis was limited to an energy storage system charged from 10:00 to 16:00.

scholarly journals Investigation on Hybrid Energy Storage Systems and Their Application in Green Energy Systems

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1907
Author(s):  
Chao-Tsung Ma ◽  
Chin-Lung Hsieh
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Energy Storage ◽  
Storage Systems ◽  
Storage System ◽  
Energy Storage System ◽  
Small Scale ◽  
Energy Storage Systems ◽  
Typical Application ◽  
Control Schemes

Power systems all over the world have been under development towards microgrids integrated with renewable energy-based distributed generation. Due to the intrinsic nature of output power fluctuations in renewable energy-based power generation, the use of proper energy storage systems and integrated real-time power and energy control schemes is an important basis of sustainable development of renewable energy-based distributed systems and microgrids. The aim of this paper is to investigate the characteristics and application features of an integrated compound energy storage system via simulation and a small-scale hardware system implementation. This paper first discusses the main components, working principles and operating modes of the proposed compound energy storage system. Then, a detailed design example composed of supercapacitors, batteries, and various controllers used in two typical application scenarios, peak demand shaving and power generation smoothing, of a grid-connected microgrid is systematically presented. Finally, an experimental setup with proper power converters and control schemes are implemented for the verification of the proposed control scheme. Both simulation and implementation results prove that the proposed scheme can effectively realize desired control objectives with the proposed coordinated control of the two energy storage devices.

Research on Microgrid Information Engineering with Probabilistic Optimal Capacity of Energy Storage in Microgrid

2014 ◽  
Vol 978 ◽  
pp. 174-178
Author(s):  
Xiao Bo Ma
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage Capacity ◽  
Probabilistic Method ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Utilization ◽  
Optimal Capacity ◽  
Information Engineering ◽  
Micro Grid

Renewable energy power generation represented by wind power and photovoltaic power is intractable,which brings great challenge to safe operation of micro-grid. Designing energy storage system is an effective solution. This paper mainly researches how to obtain the energy storage capacity when the micro-grid is in island state, and put forward a method for determining the optimal storage capacity with probabilistic method based on statistics. According to the probability density function curve both the maximum charging and discharging power and the optimal capacity of energy storage system are calculated which can improve the economic benefit and renewable energy utilization.

Modeling an Energy Storage System Based on a Hybrid Renewable Energy System in Stand-alone Applications

2017 ◽  
Vol 68 (11) ◽  
pp. 2641-2645
Author(s):  
Alexandru Ciocan ◽  
Ovidiu Mihai Balan ◽  
Mihaela Ramona Buga ◽  
Tudor Prisecaru ◽  
Mohand Tazerout
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Compressed Air ◽  
Energy Sources ◽  
Energy Storage Systems ◽  
Hybrid Renewable Energy System

The current paper presents an energy storage system that stores the excessive energy, provided by a hybrid system of renewable energy sources, in the form of compressed air and thermal heat. Using energy storage systems together with renewable energy sources represents a major challenge that could ensure the transition to a viable economic future and a decarbonized economy. Thermodynamic calculations are conducted to investigate the performance of such systems by using Matlab simulation tools. The results indicate the values of primary and global efficiencies for various operating scenarios for the energy storage systems which use compressed air as medium storage, and shows that these could be very effective systems, proving the possibility to supply to the final user three types of energy: electricity, heat and cold function of his needs.

Sign in / Sign up

Export Citation Format

Share Document