Optimization of distributed energy resources planning and battery
In this paper, the optimization of modern power systems has been thoroughly investigated through the strategic integration of Renewable Energy Sources (RES) and Battery
This paper proposes a hybrid energy storage capacity optimization model that considers the dynamic characteristics of AA-CAES. By incorporating these dynamics, the model aims to provide a more accurate and practical capacity configuration, ensuring the reliability and economic efficiency of the storage system.
Monthly annualized cost and cost reduction percentage of the proposed CAES-ECS method and the traditional ECS method. This paper proposes a capacity optimization model for hybrid AA-CAES and battery energy storage systems, specifically designed for wind and solar power bases, that takes into account the dynamic characteristics of energy storage.
The storage systems are characterized by their nominal power, expressed as a percentage of renewable capacity, and their supply duration in hours, which represents the reservoir capacity for pumped hydro or compressed air energy storage (CAES) systems.
In steady state, the battery storage's output power is zero, and the output power of AA-CAES alone equals the hybrid energy storage system's output power, thus ensuring the system's capability for rapid regulation and efficient energy utilization. The proposed optimization model consists of two parts: an objective function and a set of constraints.
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