Minimization of distribution system losses by exploiting storage and anticipating market-driven behaviour of wind power producers

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Abstract

This paper presents a stochastic bi-level optimization model to determine the optimal dispatch of energy storage systems controlled directly by the distribution system operator (DSO) in order to achieve minimization of active power losses, taking into account the profit-driven participation of wind-power producers (WPPs) connected to the distribution system, in the day-ahead and imbalance markets. The upper-level optimization problem represents the optimal AC power flow problem with the objective of minimizing the active power losses from the perspective of the DSO, while the lower-level optimization problem models the profit maximization problem faced by a competitive wind producer under uncertainty associated with market prices and its own power production profile. By exploiting the convexity of the lower-level problem, the Karush-Kuhn-Tucker conditions of the latter are derived, and the bi-level problem is cast as a single level optimization problem. A simple case study of a radial distribution system, featuring one WPP and one storage device is used to illustrate the workings of the method.

Original languageEnglish
Title of host publication2017 14th International Conference on the European Energy Market (EEM), 6-9 June 2017, Dresden, Germany
Place of PublicationBrussels
PublisherIEEE Computer Society
Pages1-6
ISBN (Electronic)978-1-5090-5499-2
ISBN (Print)978-1-5090-5500-5
DOIs
Publication statusPublished - 14 Jul 2017
Event14th International Conference on the European Energy Market (EEM 2017) - Technische Universität Dresden, Dresden, Germany
Duration: 6 Jun 20179 Jun 2017
Conference number: 14
http://eem2017.com/

Conference

Conference14th International Conference on the European Energy Market (EEM 2017)
Abbreviated titleEEM 2017
CountryGermany
CityDresden
Period6/06/179/06/17
Internet address

Keywords

  • Active power losses
  • Bi-level stochastic optimization
  • Distribution system
  • Energy storage
  • Wind power

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