Modeling and Analysis of Lithium Battery Operations in Spot and Frequency Regulation Service Markets in Australia Electricity Market

Zhai, Qiwei; Meng, Ke; Zhang, Dong; Jin, Ma

doi:10.1109/tii.2017.2677969

Cited by 74 publications

(18 citation statements)

References 18 publications

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“…There were also studies of sole operation of BESS on electricity markets and dealing with the optimization of bidding strategies of variable RES. Zhai et al [17] proposed a model of battery operating on the Australian electricity market and cost estimator to analyze the effects of market participation on the battery life. Pandžić and Kuzle [18] developed a bi-level profit maximization model to evaluate the effects of energy storage on day-ahead market prices and the potential response of conventional plant operators.…”

Section: Introductionmentioning

confidence: 99%

Operation of the Hybrid Photovoltaic-Battery System on the Electricity Market—Simulation, Real-Time Tests and Cost Analysis

Małkowski

Jaskólski

Pawlicki³

2020

Energies

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This paper presents research on a hybrid photovoltaic-battery energy storage system, declaring its hourly production levels as a member of a balancing group submitting common scheduling unit to the day-ahead market. It also discusses the variability of photovoltaic system generation and energy storage response. The major research questions were whether the operation of a hybrid photovoltaic-battery energy storage system is viable from the technical and economic viewpoint and how to size battery energy storage for that purpose. The DIgSILENT PowerFactory environment was used to develop the simulation model of postulated hybrid system. Then, tests were conducted on real devices installed in the LINTE^2 laboratory at Gdańsk University of Technology, Poland. Firstly, power generation in the photovoltaic system was modeled using hardware in the loop technique and tested in cooperation with emulated photovoltaic and real battery energy storage system (lithium-ion battery, 25 kWh). Secondly, a real photovoltaic power plant (33 kW) and real battery energy storage were applied. The results obtained from laboratory experiments showed that market operation of hybrid photovoltaic-battery energy storage system is feasible. However, developing a control strategy constitutes a great challenge, as the operator is forced to intervene more frequently than the simulation models indicate in order to keep the parameters of battery storage within accepted ranges, especially in view of a sudden weather breakdown. Levelized cost of electricity from photovoltaic-battery energy storage system varied from 314 to 455 $/MWh, which has proven to be from two to three times higher than the current annual average day-ahead market price in Poland.

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Section: Introductionmentioning

confidence: 99%

Operation of the Hybrid Photovoltaic-Battery System on the Electricity Market—Simulation, Real-Time Tests and Cost Analysis

Małkowski

Jaskólski

Pawlicki³

2020

Energies

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“…If the system inertia in the power system decreases more than a certain level, it becomes impossible or very inefficient to maintain frequency response performance using the primary frequency response during a transient period because the frequency could drop below the threshold before the primary response could be delivered [5,6]. As a solution for compensating the performance of the frequency responses with high penetration level of RES, BESS is proposed for providing both the inertia and primary frequency response [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Since the inertia response and primary frequency control are required to provide response just after a disturbance, BESS is perfectly suitable for providing a rapid response even with a limited energy capacity [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Control Strategy of BESS for Providing Both Virtual Inertia and Primary Frequency Response in the Korean Power System

Choi

Kook

2019

Energies

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As the battery energy storage system (BESS) has been considered to be a solution to the diminished performance of frequency response in the Korean power system, in which renewable energy resources (RESs) are expected to increase rapidly, this paper proposes a control strategy for providing both the virtual inertia and primary frequency response considering the MW-scale BESS installed by the Korea Electricity Power Corporation (KEPCO). The benefit of such a fast and flexible BESS can be maximized by the proposed control strategy for making it provide both the inertia and primary frequency response, which would be deficit with the increased RES. In the proposed control strategy, the state of charge (SOC) is maintained in the specific range in which the life cycle is maximized, the interference of SOC recovery by frequency control is minimized, the responding capacity for providing the virtual inertia response is maximized during the transient period, and the performance requirements for frequency response are satisfied. The effectiveness of the proposed strategy is verified by both Korean power system model-based simulation and on-site operations.

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“…Electric vehicles have driven expansions in battery manufacturing at the scale of tens of gigawatts hours annually and retired electric vehicle batteries provide a new emerging lower-cost storage opportunity [11,12]. BMW has recently announced it will offer a residential battery pack based on batteries recycled from its i3 EV series vehicles [11].…”

Section: Introductionmentioning

confidence: 99%

“…BMW has recently announced it will offer a residential battery pack based on batteries recycled from its i3 EV series vehicles [11]. This paper will focus on the use of load forecasting to optimize the economic operation of community battery systems.…”

Section: Introductionmentioning

confidence: 99%

Load forecasting for diurnal management of community battery systems

Wolfs

Emami

Lin

et al. 2018

J. Mod. Power Syst. Clean Energy

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This paper compares three methods of load forecasting for the optimum management of community battery storages. These are distributed within the low voltage (LV) distribution network for voltage management, energy arbitrage or peak load reduction. The methods compared include: a neural network (NN) based prediction scheme that utilizes the load history and the current metrological conditions; a wavelet neural network (WNN) model which aims to separate the low and high frequency components of the consumer load and an artificial neural network and fuzzy inference system (ANFIS) approach. The batteries have limited capacity and have a significant operational cost. The load forecasts are used within a receding horizon optimization system that determines the state of charge (SOC) profile for a battery that minimizes a cost function based on energy supply and battery wear costs. Within the optimization system, the SOC daily profile is represented by a compact vector of Fourier series coefficients. The study is based upon data recorded within the Perth Solar City high penetration photovoltaic (PV) field trials. The trial studied 77 consumers with 29 rooftop solar systems that were connected in one LV network. Data were available from consumer smart meters and a data logger connected to the LV network supply transformer.

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Modeling and Analysis of Lithium Battery Operations in Spot and Frequency Regulation Service Markets in Australia Electricity Market

Cited by 74 publications

References 18 publications

Operation of the Hybrid Photovoltaic-Battery System on the Electricity Market—Simulation, Real-Time Tests and Cost Analysis

Operation of the Hybrid Photovoltaic-Battery System on the Electricity Market—Simulation, Real-Time Tests and Cost Analysis

Control Strategy of BESS for Providing Both Virtual Inertia and Primary Frequency Response in the Korean Power System

Load forecasting for diurnal management of community battery systems

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