Arrangement method for energy storage unit in high wind power penetration power system

Abstract

The invention discloses an arrangement method for an energy storage unit in a high wind power penetration power system. The arrangement method establishes a market-based probability optimal power flow, and the power flow has energy storage integration and wind power generation. The method comprises the following steps of 1, conducting modeling according to wind power generation and load probability, 2, performing time shift on electric energy of the renewable energy by utilizing the energy storage system, 3, economic characteristics of compressed air storage, 4, establishing a power pool modelto bring a unilateral auction market into the optimal power flow, 5, using the probabilistic optimal power flow to consider uncertain factors such as wind power output and variable load in power flowcalculation, and 6, using a genetic algorithm for optimization and determining the optimal position of the energy storage unit in the unregulated wind power generation system based on the probabilityoptimal power flow of the power market.

Description

technical field [0001] The invention relates to the technical field of electric power storage, in particular to a method for arranging energy storage units in a power system with high wind penetration. Background technique [0002] As the electricity system transitions to an unregulated structure, system operators must efficiently deliver new services to achieve electricity market goals. Energy storage can improve social welfare while improving grid performance and reliability. These services can manage peak demand, integrate intermittent renewable energy technologies, provide ancillary services such as load following and regulation, resolve transmission line congestion, defer transmission and distribution (T&D) upgrades, and support demand response resources, Ref. [1]: S. Eckroad, EPRI DOE Handbook for Energy Storage for Transmission or Distribution Applications, Palo Alto, CA, Dec. 2003. According to the report of Sandia National Laboratories, these can save 230 million ...

AI Technical Summary

Problems solved by technology

This "price taker" analysis is not applicable to large-scale energy storage applications in wholesale electricity markets where storage units have a significant impact on market clearing prices

Furthermore, none of these studies explored optimal energy storage location and energy storage allocation, which would increase social welfare, requiring a comprehensive stochastic optimization framework to optimally place and dispatch energy storage units in unregulated areas with high wind penetration. In the power system

Images