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.

scholarly journals An extensive review of energy storage system for the residential renewable energy system

2020 ◽  
Vol 18 (1) ◽  
pp. 242
Author(s):  
M. S. A. Mustaza ◽  
M. A. M. Ariff ◽  
Sofia Najwa Ramli
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power System ◽  
Storage System ◽  
Energy Condition ◽  
Energy System ◽  
Energy Storage System ◽  
Energy Utilization ◽  
Constant Current ◽  
Battery Management System

Energy storage system (ESS) plays a prominent role in renewable energy (RE) to overcome the intermittent of RE energy condition and improve energy utilization in the power system. However, ESS for residential applications requires specific and different configuration. Hence, this review paper aims to provide information for system builders to decide the best setup configuration of ESS for residential application. In this paper, the aim is to provide an insight into the critical elements of the energy storage technology for residential application. The update on ESS technology, battery chemistry, battery charging, and monitoring system and power inverter technology are reviewed. Then, the operation, the pro, and cons of each variant of these technologies are comprehensively studied. This paper suggested that the ESS for residential ESS requires NMC battery chemistry because it delivers an all-rounded performance as compared to other battery chemistries. The four-stages constant current (FCC) charging technique is recommended because of the fast charging capability and safer than other charging techniques reviewed. Next, the battery management system (BMS) is recommended to adapt in advance machine learning method to estimate the state of charge (SOC), state of health (SOH) and internal temperature (IT) to increase the safety and prolong the lifespan of the batteries. Finally, these recommendations and solutions aimed to improve the utilization of RE energy in power system, especially in residential ESS application and offer the best option that is available on the shelf for the residential ESS application in the future.

scholarly journals Day-Ahead Economic Optimal Dispatch of Microgrid Cluster Considering Shared Energy Storage System and P2P Transaction

2021 ◽  
Vol 9 ◽  
Author(s):  
Siming Cao ◽  
Hanlin Zhang ◽  
Kai Cao ◽  
Meng Chen ◽  
Yi Wu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Peak Time ◽  
Renewable Energy Consumption ◽  
Optimal Dispatch ◽  
The Impact

With the increasing popularity of renewable energy, energy storage systems (ESSs) have now been used as an essential way to reduce energy bills and mitigate the impact of the uncertainty of renewable generators on the energy network. However, the high investment cost of ESS limits its application. This article proposes the concept of shared ESS (Shared-ESS) for microgrid owner/operator and applies it to the economic optimal dispatch of a microgrid cluster. In addition to the energy storage, the microgrids can achieve the peer-to-peer (P2P) transaction among each other with the use of the Shared-ESS, which significantly improves the energy utilization efficiency. The numerical analysis shows that the Shared-ESS can significantly reduce the energy bills of microgrid owner/operator, shift the usage of energy during peak time, and facilitate the renewable energy consumption.

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.

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.

Optimal Allocation of Energy Storage System in Distribution Systems with Intermittent Renewable Energy

2021 ◽  
Vol 19 (02) ◽  
pp. 288-296
Author(s):  
Luiz Renato Braz Pontes ◽  
Yuri Percy Molina Rodriguez ◽  
Jaime Luyo Kuong ◽  
Hugo Rojas Espinoza
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Distribution Systems ◽  
Optimal Allocation ◽  
Storage System ◽  
Energy Storage System
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