Capacity determination of a dynamic energy storage system in an island power system with high renewable energy penetration

摘要

With the development of renewable energy, many countries developed their projects in offshore islands, resulting in high penetration of renewable energy in those island systems. However, large renewable energy integration affects the original unit scheduling and system transient stability. When a contingency event occurs, such as a generator trip, the frequency stability would be reduced, even leading to additional tripping of renewable energy resources, causing a cascade faults on the grid. Although load shedding scheme is one of the methods to solve this problem, it reduces system reliability and affects the interests of customers. With the development of modern battery technologies, dynamic energy storage system provides instant power support during a very short time to decrease the impact of disturbance when an accident occurs. In this work, the optimal capacity of a dynamic energy storage system is determined by using the proposed training tool, which combines power system analyses and neural-network training. With the dynamic energy storage system, when a generator tripping occurs, the power supplied by the dynamic energy storage system avoids low-frequency load shedding.