Bidding Curve Design for Hybrid Power Plants with Uncertain Solar Forecast: Preprint

Yue Chen, Yashen Lin, Mia Moore, Xiaoge Huang, Xi Chen, Ziang Zhang

Research output: Contribution to conferencePaper

Abstract

This paper presents a novel bidding curve design algorithm tailored for hybrid power plants (HPPs) to participate in the wholesale electricity market. Utilizing forecasts for photovoltaic (PV) generation and available battery power, our algorithm strategically computes the bidding curve to maximize HPP profit while adeptly managing the inherent uncertainty associated with PV power generation. In addition, the introduction of the penalty cost in HPP bidding curves provides the system operator a tool to effectively manage the system-level uncertainty that caused by HPPs. Numerical analysis through Monte Carlo simulations confirms that our bidding curve methodology outperforms the benchmark across various scenarios.
Original languageAmerican English
Number of pages10
StatePublished - 2024
EventIEEE IECON - Chicago
Duration: 3 Nov 20246 Nov 2024

Conference

ConferenceIEEE IECON
CityChicago
Period3/11/246/11/24

NREL Publication Number

  • NREL/CP-5D00-90787

Keywords

  • bidding curve
  • day-ahead market
  • economic dispatch
  • hybrid power plant

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