BESS Participation Planning for Provision of Grid Services in Energy and Regulation Markets
Zeenat Hameed, Chresten Traeholt

TL;DR
This paper introduces a stochastic optimization model for planning battery energy storage systems' participation in energy and regulation markets, accounting for market uncertainties, operational costs, and revenue streams to maximize profits.
Contribution
It presents a novel, generalizable model that quantifies the business value of BESS services across multiple markets considering market uncertainties and operational constraints.
Findings
Model effectively estimates profit potential for BESS in different market scenarios.
Incorporates market price uncertainties and seasonal variations for accurate planning.
Helps BESS owners optimize service offerings to maximize revenue.
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…
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Taxonomy
TopicsMicrogrid Control and Optimization · Smart Grid Energy Management · Electric Power System Optimization
