Optimization of battery energy storage system with super-capacitor for renewable energy applications

2011 ◽  
Author(s):  
Xiaolei Hu ◽  
K. J. Tseng ◽  
M. Srinivasan
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Super Capacitor ◽  
Battery Energy Storage ◽  
Energy Applications ◽  
Battery Energy

scholarly journals Battery Energy Storage System for Aggregated Inertia-Droop Control and a Novel Frequency Dependent State-of-Charge Recovery

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2003 ◽  
Author(s):  
Ujjwal Datta ◽  
Akhtar Kalam ◽  
Juan Shi
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
State Of Charge ◽  
Battery Energy Storage System ◽  
Frequency Dependent ◽  
Battery Energy Storage ◽  
Battery Energy ◽  
Dependent State

To deal with the technical challenges of renewable energy penetration, this paper focuses on improving the grid voltage and frequency responses in a hybrid renewable energy source integrated power system following load and generation contingency events. A consolidated methodology is proposed to employ a battery energy storage system (BESS) to contribute to voltage regulation through droop-type control and frequency regulation by assimilated inertia emulation (IE) and droop-type control. In addition, a novel frequency-dependent state-of-charge (SOC) recovery (FDSR) is presented to regulate BESS power consumption within the FDSR constraints and recharge the battery during idle periods whenever needed. The efficacy of the proposed BESS controller is demonstrated in an IEEE-9 bus system with a 22.5% photovoltaics (PV) and wind penetration level. The simulation results obtained manifest the satisfactory performance of the proposed controller in regulating simultaneous voltage and frequency in terms of lower rate of change of frequency and better frequency nadir. Furthermore, the proposed FDSR demonstrates its superiority at the time of SOC recovery compared to the conventional approach.

scholarly journals Effects of a Battery Energy Storage System on the Operating Schedule of a Renewable Energy-Based Time-of-Use Rate Industrial User under the Demand Bidding Mechanism of Taipower

2021 ◽  
Vol 13 (6) ◽  
pp. 3576
Author(s):  
Cheng-Ta Tsai ◽  
Yu-Shan Cheng ◽  
Kuen-Huei Lin ◽  
Chun-Lung Chen
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Peak Shaving ◽  
Battery Energy Storage ◽  
Operating Schedule ◽  
Bidding Mechanism ◽  
Battery Energy

Due to the increased development of the smart grid, it is becoming crucial to have an efficient energy management system for a time-of-use (TOU) rate industrial user in Taiwan. In this paper, an extension of the direct search method (DSM) is developed to deal with the operating schedule of a TOU rate industrial user under the demand bidding mechanism of Taipower. To maximize the total incentive obtained from the Taiwan Power Company (TPC, namely Taipower), several operational strategies using a battery energy storage system (BESS) are evaluated in the study to perform peak shaving and realize energy conservation. The effectiveness of the proposed DSM algorithm is validated with the TOU rate industrial user of the TPC. Numerical experiments are carried out to provide a favorable indication of whether to invest in a BESS for the renewable energy-based TOU rate industrial user in order to execute the demand bidding program (DBP).

scholarly journals Investigation on Sizing of Voltage Source for a Battery Energy Storage System in Microgrid With Renewable Energy Sources

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 188861-188874 ◽  
Author(s):  
Swaminathan Ganesan ◽  
Umashankar Subramaniam ◽  
Ajit A. Ghodke ◽  
Rajvikram Madurai Elavarasan ◽  
Kannadasan Raju ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Voltage Source ◽  
Energy Sources ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy

scholarly journals Decentralized Optimal Control of a Microgrid with Solar PV, BESS and Thermostatically Controlled Loads

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2111 ◽  
Author(s):  
Wenhao Zhuo ◽  
Andrey V. Savkin ◽  
Ke Meng
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Decentralized Control ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Distributed Generator ◽  
Thermostatically Controlled Loads ◽  
Battery Energy

Constructing microgrids with renewable energy systems could be one feasible solution to increase the penetration of renewable energy. With proper control of the battery energy storage system (BESS) and thermostatically controlled loads (TCLs) in such microgrids, the variable and intermittent energy can be smoothed and utilized without the interference of the main power grid. In this paper, a decentralized control strategy for a microgrid consisting of a distributed generator (DG), a battery energy storage system, a solar photovoltaic (PV) system and thermostatically controlled loads is proposed. The control objective is to maintain the desired temperature in local buildings at a minimum cost. Decentralized control algorithm involving variable structure controller and dynamic programming is used to determine suitable control inputs of the distributed generator and the battery energy storage system. The model predictive control approach is utilized for long-term operation with predicted data on solar power and outdoor temperature updated at each control step.

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