A Framework for Evaluation of Advanced Direct Load Control With Minimum Disruption

Ramanathan, B.; Vittal, Vijay

doi:10.1109/tpwrs.2008.2004732

Cited by 236 publications

(107 citation statements)

References 15 publications

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“…In this paper, the widely adopted R-C model is used for modelling the thermal transition of buildings with TCLs, which have been proved to be capable for capturing the main thermal dynamics of the buildings [3,4]. The R-C model includes two parameters: thermal resistance (R) and thermal capacitance (C).…”

Section: Tcl Thermal Dynamics Modelmentioning

confidence: 99%

“…The R-C model includes two parameters: thermal resistance (R) and thermal capacitance (C). By using the R-C model, the indoor temperature trajectory caused by a TCL is governed by the following first-order ordinary differential equation [3].…”

Section: Tcl Thermal Dynamics Modelmentioning

confidence: 99%

“…Extensive effort has been devoted to date at studying the direct control techniques of thermostatically controlled loads (TCLs). For example, [3] outlined the fundamental requirements of direct load control (DLC) and presented a general optimization framework to do the feeder-scale load reduction, while [4] designed a priority based control scheme for TCLs to participate in grid frequency regulation. Reference [5] proposed a two-stage dispatch method for TCLs where, in a first stage, a day-ahead scheduling model is solved to determine the optimal TCL dispatch CrossCheck date: 26 July 2017 and, in a second stage, a real time control model allocates the desired setpoints to individual TCL.…”

Section: Introductionmentioning

confidence: 99%

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Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator

Luo

Ranzi

Dong

2017

J. Mod. Power Syst. Clean Energy

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Thermostatically controlled loads (TCLs) have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy. The two-way communication infrastructure of smart grids provides opportunities for the smart buildings/houses equipped with TCLs to be aggregated in their participation in the electricity markets. This paper focuses on the realtime scheduling of TCL aggregators in the power market using the structure of the Nordic electricity markets a case study. An International Organization of Standardization (ISO) thermal comfort model is employed to well control the occupants' thermal comfort, while a rolling horizon optimization (RHO) strategy is proposed for the TCL aggregator to maximize its profit in the regulation market and to mitigate the impacts of system uncertainties. The simulations are performed by means of a metaheuristic optimization algorithm, i.e., natural aggregation algorithm (NAA). A series of simulations are conducted to validate the effectiveness of proposed method.

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Section: Tcl Thermal Dynamics Modelmentioning

confidence: 99%

Section: Tcl Thermal Dynamics Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator

Luo

Ranzi

Dong

2017

J. Mod. Power Syst. Clean Energy

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“…The integration of DR needs communication systems and sensors, automated metering, intelligent devices and specialized processors. DR refers to programs implemented by utility companies to manage the energy consumption at the customer side of the meter [3]. Both utilities and customers can receive the advantages of DR programs that can assist electricity markets to operate in an effective way, thus reducing peak demand and spot price volatility [4].…”

Section: A Aim and Approachmentioning

confidence: 99%

Active distribution networks planning with integration of demand response

Mokryani

2015

Solar Energy

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-This paper proposes a probabilistic method for active distribution networks planning with integration of demand response.Uncertainties related to solar irradiance, load demand and future load growth are modelled by probability density functions. The method simultaneously minimizes the total operational cost and total energy losses of the lines from the point of view of distribution network operators with integration of demand response over the planning horizon considering active management schemes including coordinated voltage control and adaptive power factor control. Monte Carlo simulation method is employed to use the generated probability density functions and the weighting factor method is used to solve the multi-objective optimization problem. The effectiveness of the proposed method is demonstrated with 16-bus UK generic distribution system. Index Terms -

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“…The model could readily be implemented in a wide range of applications. Importantly, the DSM formulation proposed here does not aim to give a detailed account on the operational constraints of specific DSM processes like, for example, Ramanathan and Vittal (2008). Rather, a generic representation of DSM from a power system modeler's perspective is provided.…”

Section: Introductionmentioning

confidence: 99%

On the representation of demand-side management in power system models

Zerrahn

Schill

2015

Energy

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: Demand-side management (DSM) merits increased attention by power system modelers. Numerical models should incorporate DSM constraints in a complete and consistent way. Otherwise, flawed DSM patterns and distorted conclusions on the system benefits of demand-side management are inevitable. Building on a model formulation put forward by Göransson et al. (2014), it is first suggested to include an additional constraint that resolves the problem of undue DSM recovery. Afterwards, an alternative model is introduced that does not impose a specific temporal structure on load shifts and thus increases the realworld applicability of DSM modeling. The formulation presented here, which is both concise and linear, could readily be included in a wide range of numerical models. Terms of use: Documents in EconStor may

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A Framework for Evaluation of Advanced Direct Load Control With Minimum Disruption

Cited by 236 publications

References 15 publications

Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator

Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator

Active distribution networks planning with integration of demand response

On the representation of demand-side management in power system models

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