Abstract
This paper presents a stochastic optimization model for planning the participation of battery energy storage systems (BESSs) in energy and regulation markets. The proposed model quantifies and compares the business value of single and multi-market BESS services by accounting for their bid submission and acceptance procedures, pricing mechanisms and revenue streams, and penalty payments and degradation costs. By modelling the price uncertainties using market price scenarios (MPSs) and considering representative days for different price seasonalities, the model outputs the percentage of hours each market service can be targeted to maximize profits. This helps in quantifying the impact of operational and market requirements of different services on choice of markets for BESSs. It also helps in determining the approximate costs and revenues that may be accrued by the BESS owners by choosing combinations of available services under different price conditions. The model thus overcomes the key limitations of previous studies that were mainly conducted from a controller design viewpoint and were thus more focused on the operational control of BESSs. The proposed model is generalizable and extendable to BESS service provision in multiple markets of different regions.
| Original language | English |
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| Title of host publication | Proceedings of 2025 IEEE 35th Australasian Universities Power Engineering Conference |
| Number of pages | 5 |
| Publisher | IEEE |
| Publication status | Accepted/In press - 2025 |
| Event | 2025 IEEE 35th Australasian Universities Power Engineering Conference - Brisbane, Australia Duration: 29 Sept 2025 → 1 Oct 2025 |
Conference
| Conference | 2025 IEEE 35th Australasian Universities Power Engineering Conference |
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| Country/Territory | Australia |
| City | Brisbane |
| Period | 29/09/2025 → 01/10/2025 |
Keywords
- Battery energy storage systems
- Energy markets
- Regulation markets
- Price scenarios
- Optimization
- Degradation