Value of thermostatic loads in future low-carbon Great Britain system

Trovato, Vincenzo; Teng, Fei; Štrbac, Goran

doi:10.1109/pscc.2016.7540879

Cited by 11 publications

(2 citation statements)

References 9 publications

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“…The set of admissible power profiles represents the aggregate flexibility of the TCL population. Such models are for ex-ante planning, which can be easily incorporated into solving various problems, such as multi-period optimal power flow problems [18], [19], or unit commitment problems [20], among others. The aggregate flexibility model characterizes the power capacity of the load population, and thus can assist their provision of ancillary services under the system level coordination [21].…”

Section: Introductionmentioning

confidence: 99%

A Geometric Approach to Aggregate Flexibility Modeling of Thermostatically Controlled Loads

Zhao

Zhang

et al. 2017

IEEE Trans. Power Syst.

243

130

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Abstract-Coordinated aggregation of a large population of thermostatically controlled loads (TCLs) presents a great potential to provide various ancillary services to the grid. One of the key challenges of integrating TCLs into system level operation and control is developing a simple and portable model to accurately capture their aggregate flexibility. In this paper, we propose a geometric approach to model the aggregate flexibility of TCLs. We show that the set of admissible power profiles of an individual TCL is a polytope, and their aggregate flexibility is the Minkowski sum of the individual polytopes. In order to represent their aggregate flexibility in an intuitive way and achieve a tractable approximation, we develop optimizationbased algorithms to approximate the polytopes by the homothets of a given convex set. As a special application, this set is chosen as a virtual battery model and the corresponding optimal approximations are solved efficiently by equivalent linear programming problems. Numerical results show that our algorithms yield significant improvement in characterizing the aggregate flexibility over existing modeling methods. We also conduct case studies to demonstrate the efficacy of our approaches by coordinating TCLs to track a frequency regulation signal from the Pennsylvania-New Jersey-Maryland (PJM) Interconnection.

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Section: Introductionmentioning

confidence: 99%

A Geometric Approach to Aggregate Flexibility Modeling of Thermostatically Controlled Loads

Zhao

Zhang

et al. 2017

IEEE Trans. Power Syst.

243

130

View full text Add to dashboard Cite

show abstract

“…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%

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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Frequency control of future power systems: reviewing and evaluating challenges and new control methods

Obaid

Cipcigan

Abrahim

et al. 2018

J. Mod. Power Syst. Clean Energy

167

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Value of thermostatic loads in future low-carbon Great Britain system

Abstract: Abstract-This

Cited by 11 publications

References 9 publications

A Geometric Approach to Aggregate Flexibility Modeling of Thermostatically Controlled Loads

A Geometric Approach to Aggregate Flexibility Modeling of Thermostatically Controlled Loads

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

Frequency control of future power systems: reviewing and evaluating challenges and new control methods

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