Battery storage services that minimize wind farm operating costs: A case study

Balischewski, Stephan; Hauer, Ines; Wolter, Martin; Wenge, Christoph; Lombardi, Pio; Komarnicki, Przemysław

doi:10.1109/isgteurope.2017.8260130

Cited by 9 publications

(5 citation statements)

References 13 publications

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“…It is based on the correlation of a spectral analysis with the physical-chemical properties of the battery. Special sensors have been developed for the latter, which are located inside the battery cell having been included in the cell manufacturing process [26]. This alternative method can also provide a continued spectral analysis.…”

Section: Alternative Methods For Soc Estimationmentioning

confidence: 99%

“…Nowadays, an increasing number of large stationary batteries are being used in the power system [25]. The BES will play a decreasing role as a flexibility option in the power system, especially because of the presence of a high amount of renewable generation, the smoothing of fluctuated inflow and the delivery of system services [26,27].…”

Section: Example Of An Soc-based Operation Of 5 Mw/5 Mwh Besmentioning

confidence: 99%

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Archives of Electrical Engineering

Hallmann,

Wenge,

Komarnicki

2022

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Climate change is driving the transformation of energy systems from fossil to renewable energies. In industry, power supply systems and electro-mobility, the need for electrical energy storage is rising sharply. Lithium-based batteries are one of the most widely used technologies. Operating parameters must be determined to control the storage system within the approved operating limits. Operating outside the limits, i.e., exceeding or falling below the permitted cell voltage, can lead to faster aging or destruction of the cell. Accurate cell information is required for optimal and efficient system operation. The key is high-precision measurements, sufficiently accurate battery cell and system models, and efficient control algorithms. Increasing demands on the efficiency and dynamics of better systems require a high degree of accuracy in determining the state of health and state of charge (SOC). These scientific contributions to the above topics are divided into two parts. In the first part of the paper, a holistic overview of the main SOC assessment methods is given. Physical measurement methods, battery modeling, and the methodology of using the model as a digital twin of a battery are addressed and discussed. In addition, adaptive methods and artificial intelligence methods that are important for SOC calculation are presented. Part two of the paper presents examples of the application areas and discusses their accuracy.

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Section: Alternative Methods For Soc Estimationmentioning

confidence: 99%

Section: Example Of An Soc-based Operation Of 5 Mw/5 Mwh Besmentioning

confidence: 99%

Archives of Electrical Engineering

Hallmann,

Wenge,

Komarnicki

2022

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“…The capacity of the system C Stor is determined based on energy E Stor stored in a period x, considering the maximum charging and discharging power. The value of the energy capacity can be determined from Formula (3) for all l usage periods [34].…”

Section: Usage Of Energy Storage Systems and Sizing Methodologymentioning

confidence: 99%

“…The main contribution of this work is to determine the benefits of integrating a BES and a large PV farm with the implementation of various control algorithms according to use cases A and B. The algorithm was aimed at maximizing profits from energy production, similar to the work of Komarnicki [33], and minimizing electricity production costs [34,35]. The results based on the algorithms accepted and the evaluation of cost-effectiveness were estimated.…”

Section: Introductionmentioning

confidence: 99%

Multi Usage Applications of Li-Ion Battery Storage in a Large Photovoltaic Plant: A Practical Experience

et al. 2020

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The number of large energy storage units installed in the power system has increased over the last few years. This fact remains closely linked to the increase in the share of renewable energy in electricity generation. This is necessary to maintain the stability of the grid, which is becoming increasingly difficult to maintain due to the growing number of renewable energy sources (RES). Energy production from these sources is difficult to estimate, and possible unplanned shortages and surpluses in production are the cause of voltage and frequency fluctuations, which is an undesirable state. Consequently, the use of energy storage not only contributes to the regulation of grid operation but can also, under appropriate conditions, constitute an additional load if too much energy is generated by RES, or the source when the generation from RES is insufficient. The main contributions of this paper are as follows: A presentation of practical results achieved by implementing two optimal control strategies for a 1 MW (0.5 MWh) battery energy storage (BES) cooperating with a large 144 MW photovoltaic farm. In the first case, the BES was used to generate curtailment at photovoltaic farm to avoid power grid overload. The second case focuses on maximizing profits from selling the energy produced in periods when the unit price for energy was the highest according to energy market forecasts. In both cases, the storage was used simultaneously to cover the producer’s own demand, which eliminated the costs associated with the purchase of energy from the operator, especially during the night supply. A technical and economic evaluation was prepared for both cases, considering the real profits from the investment. The potential of using the BES to increase the functionality of photovoltaic energy sources was determined and discussed in the paper.

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“…In recent years, one can notice the dynamic development of various types of energy storage, as well as systems powered from them, among which electric vehicles should be distinguished [1][2][3][4][5]. Although such vehicles are not designed to transfer energy to the grid, but due to the fact that many vehicles are used for 1-2 hours a day, and their energy storages are characterized by power of hundreds kW and energy capability of the order of hundreds kWh, they can be used as an intervention source of energy for the power system [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Influence of electric vehicles on the electrical grid

Kasprzyk

2018

ITM Web Conf.

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The article discusses the issue of the development of electric energy storage and their impact on the power grid on the example of a charging station, to which a group of vehicles that have the capacity to transfer energy to the grid (V2G) is connected. An exemplary simulation of power distribution, energy losses in nodes of a standard IEEE 5 type network in two variants is presented: without and taking into account the impact of charging and discharging to grid the electric vehicles. The obtained results of power distribution in individual network nodes and power losses are presented in diagrams and commented.

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Battery storage services that minimize wind farm operating costs: A case study

Cited by 9 publications

References 13 publications

Archives of Electrical Engineering

Archives of Electrical Engineering

Multi Usage Applications of Li-Ion Battery Storage in a Large Photovoltaic Plant: A Practical Experience

Influence of electric vehicles on the electrical grid

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