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

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.

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Publication Details

Journal
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Published
2024-11-21
Primary Topic
Energy Load and Power Forecasting
Type
article

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article

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

Yue Chen
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Energy Load and Power Forecasting
article

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

Yue Chen
article en

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.

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Office of Energy Efficiency, National Renewable Energy Laboratory
Affordable and clean energy
Energy Load and Power Forecasting
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Bidding Curve Design for Hybrid Power Plants with Uncertain Solar Forecast: Preprint — Yue Chen · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2024) | TGRS Research Map | TGRS