Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage System

• Published in: Applied sciences Vol. 10; no. 1; p. 181
• Main Authors: Kang, Peng, Guo, Wei, Huang, Weigang, Qiu, Zejing, Yu, Meng, Zheng, Feng, Zhang, Yachao
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.01.2020
• Subjects: active and reactive power coordination; hybrid ac/dc distribution network; two-stage stochastic programming; voltage source converter
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app10010181

The development of DC distribution network technology has provided a more efficient way for renewable energy accommodation and flexible power supply. A two-stage stochastic scheduling model for the hybrid AC/DC distribution network is proposed to study the active-reactive power coordinated optimal dispatch. In this framework, the wind power scenario set is utilized to deal with its uncertainty in real time, which is integrated into the decision-making process at the first stage. The charging/discharging power of ESSs and the transferred active/reactive power by VSCs can be adjusted when wind power uncertainty is observed at the second stage. Moreover, the proposed model is transformed into a mixed integer second-order cone programming optimization problem by linearization and second-order cone relaxation techniques to solve. Finally, case studies are implemented on the modified IEEE 33-node AC/DC distribution system and the simulation results demonstrate the effectiveness of the proposed stochastic scheduling model and solving method.