Optimal Battery Bank Dimensioning Algorithm for Renewable Systems Electrification of Isolated Sites

Author(s):  
Malek Belouda

The penetration of renewable energy systems in remote areas contributes to reply to its accrued demand of electricity. Renewable energy systems as photovoltaic generation systems and wind generation systems are characterized by their unpredictable and intermittent character presenting the main drawback of these systems. Although this advantage, the problems caused by the intermittency of these systems can be resolved by employing a battery energy storage system. To this end this paper proposes and analyses an efficient and optimal methodology dedicated to applications fed by renewable energy systems. Since an optimal energy storage bank sizing is needed in order to assure the continuity and reliability of electricity supply of remote areas from these kinds of energy sources. The first part of this article describes the renewable hybrid system structure and different factors influencing the storage system dimensioning. Different scenarios of renewable sources power generations in order to develop an optimal battery bank sizing algorithm are investigated the second part of this article. The formulation of the algorithm is finally presented and discussed.

Author(s):  
Amir Ahadi ◽  
Shrutidhara Sarma ◽  
Jae Sang Moon ◽  
Jang Ho Lee

In recent years, integration of electric vehicles (EVs) has increased dramatically due to their lower carbon emissions and reduced fossil fuel dependency. However, charging EVs could have significant impacts on the electrical grid. One promising method for mitigating these impacts is the use of renewable energy systems. Renewable energy systems can also be useful for charging EVs where there is no local grid. This paper proposes a new strategy for designing a renewable energy charging station consisting of wind turbines, a photovoltaic system, and an energy storage system to avoid the use of diesel generators in remote communities. The objective function is considered to be the minimization of the total net present cost, including energy production, components setup, and financial viability. The proposed approach, using stochastic modeling, can also guarantee profitable operation of EVs and reasonable effects on renewable energy sizing, narrowing the gap between real-life daily operation patterns and the design stage. The proposed strategy should enhance the efficiency of conventional EV charging stations. The key point of this study is the efficient use of excess electricity. The infrastructure of the charging station is optimized and modeled.


2021 ◽  
Vol 16 ◽  
pp. 41-51
Author(s):  
T. A. Boghdady ◽  
S. N. Alajmi ◽  
W. M. K. Darwish ◽  
M. A. Mostafa Hassan ◽  
A. Monem Seif

Renewable energy resources are a favorable solution for the coming energy. So, a great interest has been paid in the last decades for developing and utilizing renewable energy resources as wind energy. As it has a large energy contents and, particularize with the availability, but the major problems of it are represented in unmatched with load demand because the intermittency and fluctuation of nature conditions. Many studies focused on the new strategy of using Battery Storage System (BSS), and solving some problems that affect the DC bus voltage and the BSS by using Electrochemical Double Layer Capacitor (EDLC). Their capability is to store energy to realize the objective of time shifting of surplus energy with a high efficiency. The article main objective is to model, simulate, design, and study the performance of a Stand-Alone Wind Energy System with Hybrid Energy Storage (SAWS-HES). Thus, a complete model of the proposed system is implemented including a detailed modeling procedure of the HESS components. In addition to the main contribution, a study of the performance of EDLC only as a storage device that has fast response device integrated to the suggested system then it hybridized with the BSS. The HESS has the capability to compensate the DC bus voltage in the transient conditions and gives good stability for the system. The SAWS-HES utilizes one main renewable energy resource as wind turbine and overall model is employed under MATLAB/Simulink including a developed simple logic controller. The SAWS-HES simulation results presented a promising performance and have a satisfied performance in meeting the end load demands at different operation conditions. This ensures the SAWS-HES reliability and the effectiveness with HES and the controller in stand-alone operation formulating an excellent solution for the renewable energy systems


Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2003 ◽  
Author(s):  
Ujjwal Datta ◽  
Akhtar Kalam ◽  
Juan Shi

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.


2021 ◽  
Vol 13 (6) ◽  
pp. 3576
Author(s):  
Cheng-Ta Tsai ◽  
Yu-Shan Cheng ◽  
Kuen-Huei Lin ◽  
Chun-Lung Chen

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).


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