A Bi-level Model for Strategic Bidding of a Price-Maker Retailer with Flexible Demands in Day-Ahead Electricity Market

Reza Sharifi, Amjad Anvari-Moghaddam, S. Hamid Fathi , Vahid Vahidinasab

Research output: Contribution to journalJournal articleResearchpeer-review

51 Citations (Scopus)
109 Downloads (Pure)

Abstract

In this paper, a bi-level Stackelberg-based model between an electricity retailer and consumers is presented, in which the upper-level consists of a price-maker retailer (PMR) modeled as the leader who seeks to maximize its own profit by adopting optimal pricing strategies for a pool-based electricity market. At the same time, PMR reduces its risks by encouraging consumers to actively participate in demand response (DR) programs. The lower-level of the model consists of 4 followers, three of them represent customer groups with distinct reactions to DR programs, and their objective function is defined as minimizing the cost of purchased electricity while preserving the welfare level. The fourth follower is the electricity pool, which is responsible for implementation of market mechanism and determination of market clearing price (MCP) with the aim of increasing the consumers’ welfare. In the proposed framework, the reaction of consumers to prices and DR programs are also organized and studied in form of several scenarios. The outputs of the proposed model will be enhancing the retailer’s profit and determination of the effect of DR programs on power consumption during peak hours as well as consumers’ welfare.
Original languageEnglish
Article number106065
JournalInternational Journal of Electrical Power & Energy Systems
Volume121
Number of pages13
ISSN0142-0615
DOIs
Publication statusPublished - Oct 2020

Keywords

  • Bi-level optimization
  • Bidding strategy
  • Consumer utility function
  • Demand response (DR)
  • Mathematical programming
  • Stackelberg-based model

Fingerprint

Dive into the research topics of 'A Bi-level Model for Strategic Bidding of a Price-Maker Retailer with Flexible Demands in Day-Ahead Electricity Market'. Together they form a unique fingerprint.

Cite this