Optimal power and energy sizing of compressed air energy storage in distribution network using multiparametric programming. Issue 1 (February 2021)

• Record Type: Journal Article
• Authors: Chen, Fan; Guo, Zhongjie; Lin, Qiyou; Xue, Xiaodai; Xie, Yuguang; Mei, Shengwei
• Is Part Of: IOP conference series. Volume 675:Issue 1(2021)
• Publication Date: 2021-02
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/675/1/012093
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: As a new type of mechanical energy storage, compressed air energy storage (CAES) has attracted wide attention in recent years. This paper studies the optimal sizing problem of CAES in power distribution network (PDN). CAES plays a role in shaving the peak and filling the valley at demand side and thus reduces the operation cost of PDN to purchase electricity from the main grid. A multi-parametric linear programming (MP-LP) model is formulated where the power and energy capacities of CAES are regarded as parameters; the parameterized optimal value function (OVF) provides a graphical tool to describe the impact on operation cost of CAES configuration, which helps determine the planning strategy in a visual manner. The visualized results reveal not only the optimal solution, but also some useful information, like the sensitivity of operation cost to parameters. Case studies conducted on the IEEE 33-bus distribution system verifies the effectiveness of the proposed method.