Decentralized Programming of Energy Storage System for the Promotion of Wind Power Consumption in Distribution Network

• Published in: 2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) pp. 1442 - 1447
• Main Authors: Hong, Juhua, Zhu, Jiayuan, Li, Yuanfei, Lin, Changyong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2020
• Subjects: energy storage system planning; Investment; Mathematical model; Optimization; Programming; Robustness; second-order cone programming; two-stage robust planning; Uncertainty; uncertainty of wind power; Wind power generation
• DOI: 10.1109/ICPSAsia48933.2020.9208598

The environmental pollution and ecological damage caused by conventional energy source result in a great demand of renewable energy including wind power and photovoltaic. Especially in modern power system, wind farms have been wildly constructed and deployed. However, along with the increasing penetration of wind power, the operations of power system are significantly influenced due to the fluctuation and uncertainty of wind power. Due to its flexible charging and discharging characteristics, energy storage system (ESS) is considered as an effective tool to deal with the disadvantage of wind power and enhance the controllability of the power grid. In order to Figure out the optimal location and capacity of ESS, this paper presents a two-stage robust optimization model which takes the fluctuation and uncertainty of wind power into account. Additionally to find out the optimized solution, the second-order cone relaxation technique is adopted to guarantee the global optimal solution. Moreover, the strong duality theorem is employed to convert the optimal operation problem with max-min structure into an equivalent maximization problem. Finally, the model is solved by column and constraint generation algorithm. Experiment results indicate the effectiveness of the presented method in dealing with the ESS optimal allocation issues by considering the uncertainty of wind power.