Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life
By Guannan He, Qixin Chen, Chongqing Kang, Pierre Pinson, Qing Xia. IEEE Transactions on Smart Grid, 2016
456 citations recorded by the source corpus.
Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1c7620de6459ecabfe7aa4be4d2888d3694f5a90
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Control and Systems Engineering
- Qing Xia
- Behnam Mohammadi-Ivatloo
- Chongqing Kang
- Kameshwar Poolla
- Qixin Chen
- Nima Amjady
- Victor M. Zavala
- Chen-Ching Liu
In Electrical and Electronic Engineering
- Chongqing Kang
- Sijie Chen
- Chen-Ching Liu
- Qing Xia
- Behnam Mohammadi-Ivatloo
- A. Knight
- Kameshwar Poolla
- Soroush Shafiee
Citations in the corpus
- Risk-Constrained Bidding and Offering Strategy for a Merchant Compressed Air Energy Storage Plant (2017, methodology): “Stochastic programming is also used in [24], [25] to investigate the optimal bidding strategy for an independent battery storage in electricity market.”
- Cooperation of Wind Power and Battery Storage to Provide Frequency Regulation in Power Markets (2017, methodology): “The energy level of an extreme point, E i , corresponds to the energy level at the end of the ith half cycle, and the DOD of each half cycle, dhalf i , can be calculated as [23]:”
- A multi-scale optimization framework for electricity market participation (2017, background): “Several other papers consider simultaneous sale of energy and ancillary services in the day-ahead market alone [41,49,55,45,40] or analyze only regulation revenues [3,44].”
- From demand response to transactive energy: state of the art (2017, background): “References [40, 41] derive the charging/discharging schedules for batteries, taking into account changes in batteries’ state of charge, charging/discharging rate limits, energy capacities, and impact of charging/discharging on battery life.”
- Optimal Day-Ahead Scheduling of Power-to-Gas Energy Storage and Gas Load Management in Wholesale Electricity and Gas Markets (2018, unknown): “, in [1], [2].”
- A Bilevel Model for Participation of a Storage System in Energy and Reserve Markets (2018, methodology): “Over the past few years, a number of works studied the pool strategy of a merchant storage system in energy-only markets [4]–[7], the joint energy and reserve markets as day-ahead settlement [2], [3], and the joint energy and reserve markets (dayahead settlement) along with balancing settlement in r”