Value Analysis of Battery Energy Storage Applications in Power Systems

Oudalov, Alexandre; Chartouni, Daniel; Ohler, C.; Linhofer, Gerhard

doi:10.1109/psce.2006.296284

Cited by 186 publications

(92 citation statements)

References 3 publications

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“…Among popular BESS, the main drawback of Lead-acid batteries is their limited cycle life and the main disadvantage of Nickel-cadmium (Ni-Cd) cells is the presence of toxic heavy metal Cadmium [32]. Lithium-ion (Li-ion) batteries are mainly an option in short time scale applications, due to their relatively high daily self-discharge, between 1 to 5%.…”

Section: Bess Modelingmentioning

confidence: 99%

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Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration

et al. 2018

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Early version, also known as pre-print Link to publication from Aalborg University Citation for published version (APA): Jannesar, M. R., Sedighi, A., Savaghebi, M., & Guerrero, J. M. (2018). Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration. Applied Energy, 226, 957-966. https://doi.org/10.1016/j.apenergy.2018.06.036 General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us at vbn@aub.aau.dk providing details, and we will remove access to the work immediately and investigate your claim. can mitigate these disadvantages and as a result, improve the system operation.For this purpose, battery energy storage system is charged when production of photovoltaic is more than consumers' demands and discharged when consumers' demands are increased. Since the price of battery energy storage system is high, economic, environmental, and technical objectives should be considered together for its placement and sizing. In this paper, optimal placement, sizing, and daily (24 hours) charge/discharge of battery energy storage system are performed based on a cost function that includes energy arbitrage, environmental emission, energy losses, transmission access fee, as well as capital and maintenance costs of battery energy storage system. All simulations are carried out in DIgSILENT and MATLAB linked together. Results show that by using the proposed approach, overvoltage 2 and energy losses are decreased, reverse power flow is prevented, environmental emission is reduced, and economic profit is maximized.

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Section: Bess Modelingmentioning

confidence: 99%

“…Vanadium Redox Battery (VRB) is a special type of flow batteries. Due to small self-discharge [32] per day, it is suitable for long storage duration such as hours or months. Also, VRB have the highest cycle life, and thus, are adopted in this paper.…”

Section: Bess Modelingmentioning

confidence: 99%

Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration

et al. 2018

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“…Therefore, optimization of BES size must be considered to achieve the highest profitability for the application (A. Oudalov et al 2006;Alexandre Oudalov, Cherkaoui, and Beguin 2007). On the other hand, the size of batteries is foremost selected to meet the power and energy requirements of the LFC.…”

Section: Optimal Sizing Of Bessmentioning

confidence: 99%

Exploitation of Battery Energy Storage in Load Frequency Control -A Literature Survey

Zurfi¹,

Zhang²

2016

American Journal of Engineering and Applied Sciences

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Deregulation of the electricity market and the continued attempts by the international community to reduce the effects of global climate change have resulted in a rapid increase in the usage of different renewable forms of energy such as the wind and solar energy. The availability of such renewables is highly sporadic in nature. Consequently, their integration into the power system is a practice not without unfavorable impacts on the stability of the power system. The stability of the power system frequency is vulnerable to sudden imbalances between generation and demand. Therefore, the intermittent generation from the renewables imposes undesirable frequency fluctuations. Load Frequency Control (LFC) is the control scheme responsible for restoring system frequency to its rated value after any generation-demand imbalance that causes the frequency to deviate from the rated value. Therefore, efficient and fast LFC techniques are crucial. Utilization of Battery Energy Storage (BES) is one of the techniques applied to improve the performance of LFC due to its distinctive characteristics of fast response and high energy density. This paper is aimed to provide a succinct and comprehensive literature survey of the different concepts and strategies of the utilization of battery energy storage systems for LFC services. The study was conducted by reviewing, collating and interpreting numerous research papers on the relevant topics. Based on the BES scale, location, control, ownership and coordination with the system operator, the existing strategies are classified into two main categories: Grid-Scale Systems (GSS) and Load-Scale Systems (LSS). The LSS category is subclassified as Coordinated Aggregate Systems and Non-Coordinated Individual Systems. The survey theoretically discussed the advantages and disadvantages of each category from a technical perspective.

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“…Table 1 makes comparison of the key characteristics between current battery storage and PHS [25]. Batteries are one of the most cost-effective energy storage options available, which normally have limited power and energy capacity but with very fast ramp rate, capable of transitioning from zero to full output in microseconds to several seconds [26,27]. In addition, batteries can be containerized and easily installed in distributed applications across the transmission network [28].…”

Section: Available Storage Technologies For Corrective Controlmentioning

confidence: 99%

Coordinated Control of Distributed and Bulk Energy Storage for Alleviation of Post-Contingency Overloads

2014

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This paper presents a novel corrective control strategy that can effectively coordinate distributed and bulk energy storage to relieve post-contingency overloads. Immediately following a contingency, distributed batteries are implemented to provide fast corrective actions to reduce power flows below their short-term emergency ratings. During the long-term period, Pumped Hydro Storage units work in pumping or generation mode to aid conventional generating units keep line flows below the normal ratings. This problem is formulated as a multi-stage Corrective Security-constrained OPF (CSCOPF). An algorithm based on Benders decomposition was proposed to find the optimal base case solution and seek feasible corrective actions to handle all contingencies. Case studies based on a modified RTS-96 system demonstrate the performance and effectiveness of the proposed control strategy.

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Value Analysis of Battery Energy Storage Applications in Power Systems

Cited by 186 publications

References 3 publications

Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration

Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration

Exploitation of Battery Energy Storage in Load Frequency Control -A Literature Survey

Coordinated Control of Distributed and Bulk Energy Storage for Alleviation of Post-Contingency Overloads

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