A Straightforward Methodology to Obtain the Power Coefficients Matrices for Unbalanced Distribution Networks to be Used in Flexibility Markets

The 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.