Design of a hybrid fuzzy/Markov chain-based hierarchal demand-side frequency control

Obaid, Zeyad Assi; Cipcigan, Liana; Muhssin, Mazin T.

doi:10.1109/pesgm.2017.8273821

Cited by 5 publications

(7 citation statements)

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“…References [14,15] have proposed simplified models to integrate a number of small-size energy storage units, including batteries and flywheels, into the grid. In [16,17], hierarchal control for a battery population using a Markov chain was developed to mimic the frequency deviation. It was concluded that a population of small-size storage systems could provide a frequency response similar to the response obtained from the generation units.…”

Section: Relevant Workmentioning

confidence: 99%

Local dynamic frequency response using domestic electric vehicles

Muhssin

Obaid

Al-Anbarri

et al. 2021

International Journal of Electrical Power & Energy Systems

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Section: Relevant Workmentioning

confidence: 99%

Local dynamic frequency response using domestic electric vehicles

Muhssin

Obaid

Al-Anbarri

et al. 2021

International Journal of Electrical Power & Energy Systems

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“…The dynamic aggregation of the total responsive capacity of the population of BESSs is done by using Equation (19). Combining equations (19) and (20) results in equation 21, where P (1) to P (5)…”

Section: (B) Modelling the Dynamic Switching Behaviour Of Besss Durinmentioning

confidence: 99%

“…With the increased integration of renewable energy generation,, system frequency control using only conventional generators becomes more expensive [1][2][3][4]. The aggregation of demand devices to regulate the frequency mitigates the need to increase the capacity of conventional power generators [1][2][3]5]. In Great Britain's (GB) power system, demand side response from commercial and industrial consumers is considered for frequency control [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…The aggregation of demand devices to regulate the frequency mitigates the need to increase the capacity of conventional power generators [1][2][3]5]. In Great Britain's (GB) power system, demand side response from commercial and industrial consumers is considered for frequency control [4][5][6][7][8]. The term 'frequency response' in the UK refers to all dynamic and nondynamic frequency services.…”

Section: Introductionmentioning

confidence: 99%

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Control of a population of battery energy storage systems for frequency response

Obaid

Cipcigan

Muhssin

et al. 2020

International Journal of Electrical Power & Energy Systems

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The control of multiple battery energy Storage systems (BESSs) to provide frequency response will be a challenge in future smart grids. This paper proposes a hierarchical control of BESSs with two decision layers: the aggregator layer and the BESS control layer. The aggregator layer receives the states of charge (SoC) of BESSs and sends a command signal to enable/disable the BESS control layer. The BESS controller was developed to enable the BESSs to respond from the highest to lowest SoC when the frequency drops, and from lowest to highest when it rises. Hence, the BESS's response is prioritised to reduce the impact on the power system and end-users during the service. The BESS controller works independently when a failure occurs in the communication with the aggregator. The dynamic behaviour of the population of the controllable BESSs was modelled based on a Markov chain. The model demonstrates the value of aggregation of BESSs for providing frequency response and evaluates the effective capacity of the service. The model was demonstrated on the 14-machine SouthEast Australian power system with a 14.5GW load. 254MW of responsive capacity of aggregated batteries was effective in reducing the system frequency deviation below 0.2 Hz following a sequence of disturbances.

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“…In [11][12][13][14], several scenarios have been adopted in the use of ESSs to smooth the volatile output power generated by wind energy sources. In the area of the grid frequency improvement, the response obtained from the aggregation of thousands of storage units can be used to inject active power to manipulate the power mismatch between the generation and demand almost immediately after a frequency event [15][16][17]. From these studies, it has been concluded that a group of small-size ESSs could provide large rate of primary frequency response and inertial response.…”

Section: Introductionmentioning

confidence: 99%