Stochastic Optimization of PQ Powers at the Interface between Distribution and Transmission Grids

Jérôme Buire, Frédéric Colas, Jean-Yves Dieulot and Xavier Guillaud
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Jérôme Buire: Univ. Lille, Arts et Metiers ParisTech, Centrale Lille, HEI, EA 2697, L2EP—Laboratoire d’Electrotechnique et d’Electronique de Puissance, F-59000 Lille, France
Frédéric Colas: Univ. Lille, Arts et Metiers ParisTech, Centrale Lille, HEI, EA 2697, L2EP—Laboratoire d’Electrotechnique et d’Electronique de Puissance, F-59000 Lille, France
Jean-Yves Dieulot: Univ. Lille, CNRS, Centrale Lille, UMR 9189, CRIStAL—Centre de Recherche en Informatique Signal et Automatique de Lille, F-59000 Lille, France
Xavier Guillaud: Univ. Lille, Arts et Metiers ParisTech, Centrale Lille, HEI, EA 2697, L2EP—Laboratoire d’Electrotechnique et d’Electronique de Puissance, F-59000 Lille, France

Energies, 2019, vol. 12, issue 21, 1-16

Abstract: This paper addresses the volt-var control of distribution grids embedding many distributed generators (DGs). Specifically, it focuses on the compliance of powers to specified PQ diagrams at the high voltage/medium voltage (HV/MV) interface while the voltages remain well controlled. This is achieved using a two-stage optimization corresponding to two different classes of actuators. The tap position of capacitor banks is selected on a daily basis, given a stochastic model of the input powers prediction, which allows infrequent actuation and increases the device lifespan. In a second stage, a confidence level optimization problem allows to tune on an hourly basis the parameters of the DGs reactive power affine control laws. Results on a real-size grid show that the combined tuning of these actuators allows the ability to comply with European grid codes while the control effort remains reasonable.

Keywords: distribution grid; HV/MV interface; stochastic optimization; reactive power control; volt-var control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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