Participation of photovoltaic power producers in short-term electricity markets based on rescheduling and risk-hedging mapping

Agustín A. Sánchez de la Nieta (Corresponding author), Nikolaos G. Paterakis, Madeleine Gibescu

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)

Abstract

Optimal bidding that considers different electricity market floors can increase the financial gains of photovoltaic (PV) power producers. However, the current approach to trading PV power essentially consists of committing to sell the forecasted PV generation. To analyze profits and investigate new business opportunities for PV power producers, this paper proposes two novel stochastic programming-based methods for scheduling and rescheduling for trading the PV generated energy in day-ahead and intraday electricity markets. Risk-hedging is also considered in terms of co-optimizing the expected profit with the Conditional Value-at-Risk (CVaR) metric. As a consequence of the structure and organization of the market floors and due to different market windows, rescheduling is necessary to exploit the most recent information. Updated rescheduling progressively reveals actual profits or losses, risk-hedging possible engagement in business transactions, and the final effect of strategic bidding. A case study in the Spanish electricity market based on actual data is presented. The analysis of the case study shows the influence of the three market floors (day-ahead, intraday, and imbalance), the participation in multiple intraday sessions, risk-hedging, and rescheduling on the profits of the PV producer.

Original languageEnglish
Article number114741
Number of pages15
JournalApplied Energy
Volume266
DOIs
Publication statusPublished - 15 May 2020

Keywords

  • Balancing market
  • Conditional value-at-risk
  • Day-ahead market
  • Intraday market
  • PV power producer
  • Strategic bidding

Fingerprint Dive into the research topics of 'Participation of photovoltaic power producers in short-term electricity markets based on rescheduling and risk-hedging mapping'. Together they form a unique fingerprint.

Cite this