Profit-Oriented Planning and Multi-Market Operation Model for Hybrid Energy Storage Systems
Lizhong Zhang,Junqi Liu, Jianxiao Wang, Lei Zhu

TL;DR
This paper introduces a bi-level optimization model for hybrid energy storage systems, enabling profit-maximizing capacity planning and multi-market operation coordination for energy storage operators.
Contribution
It presents a novel joint optimization framework for capacity and bidding strategies of hybrid energy storage systems in multiple markets, considering technological heterogeneity.
Findings
The model effectively allocates storage capacity between arbitrage and reserve markets.
High power-to-capacity ratio systems focus on arbitrage profits, low ratio systems on reserve markets.
Internal power transfer between storage units can occur under grid constraints.
Abstract
The increasing penetration of renewable energy necessitates improved power system flexibility, driving the deployment of independent energy storage operators (ESOs). Existing research extensively investigates capacity sizing for price-taker storage systems or the operational coordination of aggregated distributed resources, lacking the joint optimization of capacity planning and multi-market bidding for a price-maker ESO with hybrid energy storage system (HESS) that preserves the technological heterogeneity of the integrated components. We propose a bi-level optimization framework to jointly optimize profit-oriented decisions on capacity and multi-market operation. The upper-level problem determines the optimal capacities of two heterogeneous storage systems while coordinating their bidding across day-ahead joint energy-reserve and real-time balancing markets. The lower-level problems…
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