Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Hybrid Power Plant Bidding in Models of Future Electricity Systems

Conference ·
This paper proposes a stochastic model for hybrid power plants participation in day-ahead electricity markets, considering uncertainty in market prices and renewable generation. Additionally, it presents a methodology to incorporate this hybrid participation into existing production cost models (PCM), allowing the analysis and market design of future systems with high penetration of hybrids. These developments are illustrated using a wind-battery hybrid located in New York Independent System Operator (NYISO) footprint.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
AC02-05CH11231
OSTI ID:
2382767
Country of Publication:
United States
Language:
English

References (14)

Strategic Bidding for a Virtual Power Plant in the Day-Ahead and Real-Time Markets: A Price-Taker Robust Optimization Approach journal July 2016
Scenario reduction and scenario tree construction for power management problems conference January 2003
Optimizing Trading Decisions for Hydro Storage Systems Using Approximate Dual Dynamic Programming journal August 2013
Scenario Reduction With Submodular Optimization journal May 2017
Electricity price forecasting: A review of the state-of-the-art with a look into the future journal October 2014
Risk-Constrained Bidding Strategy for a Joint Operation of Wind Power and CAES Aggregators journal January 2020
Queued Up: Characteristics of Power Plants Seeking Transmission Interconnection As of the End of 2021 [Slides] report April 2022
Motivations and options for deploying hybrid generator-plus-battery projects within the bulk power system journal June 2020
Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods journal March 2017
Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization journal January 2016
Optimization of conditional value-at-risk journal January 2000
Optimal Bidding Strategies for Hydro-Electric Producers: A Literature Survey journal July 2014
Energy Storage Arbitrage Under Day-Ahead and Real-Time Price Uncertainty journal January 2018
Self-Scheduling Approach to Coordinating Wind Power Producers With Energy Storage and Demand Response journal July 2020

Similar Records

Hybrid Energy Resources Bidding Model (HERB) v1.0
Software · 2025 · OSTI ID:code-158544

Bidding strategy for microgrid in day-ahead market based on hybrid stochastic/robust optimization
Journal Article · 2015 · IEEE Transactions on Smart Grid · OSTI ID:1265375

Renewable-battery hybrid power plants in congested electricity markets: Implications for plant configuration
Journal Article · 2024 · Renewable Energy · OSTI ID:2439389

Related Subjects