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Assessment of the Capacity Credit of Renewables and Storage in Multi-Area Power Systems

Guanchi Liu, Maria Vrakopoulou, Pierluigi Mancarella

2020IEEE Transactions on Power Systems46 citationsDOI

Abstract

Capacity credit (CC) can be defined as the capacity of conventional generators that can be replaced by renewable energy sources (RES) and/or other resources such as energy storage without reducing system reliability. Conventional approaches for calculating CC typically treat the power system as a single area without considering transfer constraints and reliability of interconnectors. However, in multi-area power systems locational aspects are key to assess tradeoffs and synergies arising from transmission, storage and RES in providing adequacy of supply. In this work, we propose a new methodology to quantify the CC of RES and storage in a multi-area power system. Due to the large computational burden brought about by composite system adequacy evaluation, a new accelerated sequential Monte Carlo simulation strategy and a new adaptive sampling approach are specifically developed to achieve computation efficiency. The proposed methodology is tested by demonstrating the impact of interconnectors' transfer constraints and availability on RES-storage CC in the case of the Australian National Energy Market (NEM) multi-area power system, with applications to wind, solar, and pumped hydro storage plants. The results from several realistic NEM case studies highlight how the proposed model can inform strategic, reliability-aware integrated system planning of large-scale interconnected low-carbon power systems.

Topics & Concepts

Reliability engineeringElectric power systemRenewable energyEnergy storageReliability (semiconductor)Computer scienceWind powerComputer data storagePower (physics)EngineeringElectrical engineeringPhysicsQuantum mechanicsOperating systemPower System Reliability and MaintenanceElectric Power System OptimizationIntegrated Energy Systems Optimization
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