A novel method for reliability assessment of autonomous PV-wind-storage system using probabilistic storage model

作者：Paliwal Priyanka^*; Patidar N P; Nema R K

来源：International Journal of Electrical Power & Energy Systems, 2014, 55: 692-703.

DOI：10.1016/j.ijepes.2013.10.010

• Analytical technique
• Autonomous power system
• Monte Carlo simulation
• Probabilistic storage model
• Reliability evaluation

The deployment of energy storage has emerged as most viable alternative for maintaining reliability of renewable energy based autonomous power systems. The intermittent nature of renewable energy sources (RES) and their increased penetration in recent times makes reliability assessment studies particularly significant. This paper proposes a novel probabilistic model for battery storage systems to effectively facilitate implementation of analytical technique for reliability assessment of RES based systems incorporating battery storage. The proposed probabilistic battery state model comprises of multiple states of battery state of charge (SOC) and probability associated with each state. The developed model takes into account variable nature of RES and their corresponding effect on storage systems.
In order to demonstrate the effectiveness of proposed analytical technique, reliability assessment studies have been carried out for a hypothetical autonomous PV-wind-storage system located in Jaisalmer, Rajasthan, India. The results obtained have been compared with Monte Carlo Simulation (MCS) in order to establish the superiority of proposed approach.

• 出版日期2014-2