Abstract
Low-CO2-emission wind generation can alleviate the world energy crisis, but intermittent wind generation influences the reliability of power systems. Energy storage might smooth the wind power fluctuations and effectively improve system reliability. The contribution of energy storage to system reliability cannot be comprehensively assessed by the installed capacity of energy storage. The primary goal of this paper is to investigate the impact of the installed location and capacity of energy storage on power system reliability. Based on a bi-level programming approach, this paper presents a bi-level energy storage programming configuration model for energy storage capacity and location configuration. For upper-level optimization, a depth search method is utilized to obtain the optimal installed location of energy storage. For the lower-level optimization, the optimal capacity of energy storage is solved to meet the system reliability requirements. The influence of the contribution of energy storage location to system reliability is analyzed. The proposed model and method are demonstrated using the RBTS-Bus6 System and Nanao (NA) island distribution system in China. The results show the effectiveness and practicability of the proposed model and method.
Highlights
In recent years, the installed capacity of wind generation has significantly increased across the world
The sizing and siting of an energy storage system cannot be considered separately from the energy storage system planner; the bi-level programming model takes into account both energy storage system size and site allocation, and this approach provides a consistent method to calculate the available capacity of an energy storage system; Developing an efficient algorithm to solve the bilevel optimization problem
Case 1: The energy storage devices are located near the distributed generation (DG); in this case, it is located at the wind power generation
Summary
The installed capacity of wind generation has significantly increased across the world. The installed capacity and location of energy storage are not easy to change once determined In this context, this paper focuses on the allocation of energy storage devices in the distribution system and attempts to contribute to the size and site planning of energy storage systems. The sizing and siting of an energy storage system cannot be considered separately from the energy storage system planner; the bi-level programming model takes into account both energy storage system size and site allocation, and this approach provides a consistent method to calculate the available capacity of an energy storage system; Developing an efficient algorithm to solve the bilevel optimization problem. Illustrating the impacts of the influencing factors of distribution networks integrating wind power and energy storage systems and providing a reasonable and effective basis and a practical way to improve the system reliability, aiming at the role of key influences for the energy storage system.
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