Optimal Energy Storage Sizing and Control for Wind Power Applications

Brekken, Ted K. A.; Yokochi, Alex; Jouanne, Annette von; Yen, Zuan Z.; Hapke, Hannes Max; Halamay, Douglas A.

doi:10.1109/tste.2010.2066294

Cited by 312 publications

(221 citation statements)

References 25 publications

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“…The parameters of BESS are shown in Table 2. For BESS sizing selection problems, we refer to [33,34]. The data of the BESS degradation curve is derived from [29], as shown in Fig 3. The desired lifetime of BESS is assumed to be longer than 10 years, and the shelf life is 30 years.…”

Section: Basic Parametersmentioning

confidence: 99%

Stochastic coordinated operation of wind and battery energy storage system considering battery degradation

Wang

Zhou

Botterud

et al. 2016

J. Mod. Power Syst. Clean Energy

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Grid-scale battery energy storage systems (BESSs) are promising to solve multiple problems for future power systems. Due to the limited lifespan and high cost of BESS, there is a cost-benefit trade-off between battery effort and operational performance. Thus, we develop a battery degradation model to accurately represent the battery degradation and related cost during battery operation and cycling. A linearization method is proposed to transform the developed battery degradation model into the mixed integer linear programming (MILP) optimization problems. The battery degradation model is incorporated with a hybrid deterministic/stochastic look-ahead rolling optimization model of wind-BESS bidding and operation in the real-time electricity market. Simulation results show that the developed battery degradation model is able to effectively help to extend the battery cycle life and make more profits for wind-BESS. Moreover, the proposed rolling look-ahead operational optimization strategy can utilize the updated wind power forecast, thereby also increase the wind-BESS profit.

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Section: Basic Parametersmentioning

confidence: 99%

Stochastic coordinated operation of wind and battery energy storage system considering battery degradation

Wang

Zhou

Botterud

et al. 2016

J. Mod. Power Syst. Clean Energy

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“…However, employing dispatchable sources to cover the wind power volatility causes to increase cost of wind power integration in short-run due to the increase in system required reserve. In addition, using hydro generators to track load demand to balance the mismatch caused by wind power prediction error results in earlier maintenance program [129]. One solution to exploit the wind power generation is utilizing small rechargeable battery bank consisting of one or two groups of batteries installed in the wind turbine tower.…”

Section: -Wind-batterymentioning

confidence: 99%

On the management of wind power intermittency

Rahimi

Rabiee

Aghaei

et al. 2013

Renewable and Sustainable Energy Reviews

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Nowadays, the world is encountering severe challenges in the energy generation sector. Environmental issues like climate change, global warming and Green House Gases (GHGs) and also social issues like dramatic increase in global population and increasing energy demand are the main causes of global concerns about energy resource management. In this regard, Renewable Energy Sources (RESs) are the suitable substitution to replace the conventional generating units that emit GHGs due to the use of fossil fuels. Among all RESs, wind energy seems to be promising for generating emission-free electrical energy. However, it is naturally unpredictable due to its intermittency which leads to s ome technical problems such as generation imbalance as well as optimal reserve allocation. This paper investigates the solutions to compensate wind intermittency through introducing various technolo gies such as Pumped-Hydro Storage (PH S) units, Plug-in Hybrid Electric Vehicles (PHEVs), solar energy and other electric storages like batteries. Abstract-Nowadays, the world is encountering severe challenges in the energy generation sector. Environmental issues like climate change, global warming and Green House Gases

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“…Most of these studies have focused on the operation and control strategy of the BESS for the integration with renewable energy, energy management, power quality, and etc. [1][2][3][4][5][6][7][8][9][10][11][12][13]. However, few protection studies in power systems with BESSs have been performed.…”

Section: Introductionmentioning

confidence: 99%

Reclosing scheme using synchronism checking for utilization of BESS in distribution system

Seo¹,

Rhee

2017

J. Mod. Power Syst. Clean Energy

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This paper proposes a reclosing scheme using synchronism checking for utilization of battery energy storage system (BESS) in a distribution system. The algorithm disconnects the faulty phase and keeps the power supply from the BESS to the healthy phase. Synchronism checking between the main source side and the load side is applied to minimize the transients at the reclosing instant. The BESS at the faulty phase is reconnected after checking the successful reclosing. The distribution system including BESS and proposed reclosing scheme are modeled by the electromagnetic transients program (EMTP)/ATPDraw. The various simulations by varing the fault clearing time are conducted and the simulation results are discussed. Also, the relation between proposed reclosing scheme and reliability is discussed.

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Optimal Energy Storage Sizing and Control for Wind Power Applications

Cited by 312 publications

References 25 publications

Stochastic coordinated operation of wind and battery energy storage system considering battery degradation

Stochastic coordinated operation of wind and battery energy storage system considering battery degradation

On the management of wind power intermittency

Reclosing scheme using synchronism checking for utilization of BESS in distribution system

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