A stochastic framework for short-term operation of a distribution company

Safdarian, A ; Sharif University of Technology | 2013

506 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/TPWRS.2013.2278076
  3. Publisher: 2013
  4. Abstract:
  5. This paper presents a stochastic framework for short-term operation of a distribution company (disco). The proposed framework optimizes disco's operational decisions in two hierarchical stages. The first stage, called day-ahead operation stage (DAOS), deals with the operational decisions on purchases from the day-ahead market and commitment of distributed generation (DG) units. The objective of this stage is to minimize the expected operating cost while the financial risk exposed by uncertain real-time prices and loads is restricted to a given level. The model associated with this stage is based on the mixed-integer programming (MIP) format. The second stage, named real-time operation stage (RTOS), deals with disco's activities in real-time. In RTOS, decisions are made on real-time market transactions, dispatch of online DGs, and invocation of load curtailments (LCs) such that the expected operating cost is minimized. This stage is formulated as a nonlinear programming (NLP) problem. To investigate the effectiveness of the developed framework, it is applied to a typical Finnish 20-kV urban distribution network
  6. Keywords:
  7. Conditional value at risk ; Distributed generation ; Distribution company ; Autoregressive moving average ; Distributed generation units ; Mixed-Integer Programming ; Operational decisions ; Stochastic framework ; Urban distribution networks ; Commerce ; Distributed power generation ; Integer programming ; Operating costs ; Stochastic systems ; Industry
  8. Source: IEEE Transactions on Power Systems ; Volume 28, Issue 4 , 2013 , Pages 4712-4721 ; 08858950 (ISSN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6585803