Browsing by Keyword "H2020, 824414, CoordiNet"
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Item Real-Time Flexibility Market Participation of Thermostatically Controlled Loads(IEEE, 2022) Jimeno, Joseba; Ruiz, Nerea; Madina, Carlos; Gonzalez-Garrido, Amaia; Tecnalia Research & Innovation; POWER SYSTEMSThe objective of this paper is to demonstrate the feasibility of using the aggregated flexibility of thermostatically controlled loads (TCLs) to provide balancing and congestion management services to system operators through the participation in a real-time flexibility market. To this aim, a TCL aggregation model that employs a bottom-up approach based on physical end-use load models has been developed. A direct load control (DLC) scheme is considered, where the control variable is the thermostat temperature setpoint. This temperature can be manipulated between the upper and lower limits set by end-users, who receive an economic compensation in exchange for the loss of comfort. As output a set of flexibility bids to be sent to the market are obtained. To demonstrate the applicability of the proposed aggregation model and estimate the overall flexibility potential from TCLs, a large-scale case study, based on a future power system in Spain has been considered.Item A Straightforward Methodology to Obtain the Power Coefficients Matrices for Unbalanced Distribution Networks to be Used in Flexibility Markets(IEEE, 2022) Cortés Borray, Andrés Felipe; Santos-Mugica, Maider; Gonzalez-Garrido, Amaia; Martin, David; Ojeda, Carlos; Borray, Andres Felipe Cortes; Tecnalia Research & Innovation; POWER SYSTEMSThe objective of the paper is to address the congestion problem in a specific distribution line by means of sensitivity coefficients seeking an intelligent a ctivation of t he available flexibility, based not only on economic a spects but also on the efficient use of flexibility. This paper proposes a straightforward methodology to obtain the sensitivity coefficient matrices for the unbalanced distribution networks, employing the perturb-and-observe (P & O) approach to assure an efficient usage of flexible resources. This means that a small change in the active power value of a particular flexibility provider, either load or generator, is applied to evaluate the power variation, therefore the loading variation, in every line of the system. The paper shows how these coefficients can be implemented in at heoretical energy market by the market operators by validating its application in an unbalanced network case and then compared with a real balanced distribution network. The simulations have been carried out in DIgSILENT PowerFactory through its API in Python.