Day-ahead Risk-constrained Stochastic Scheduling of Multi-energy System

作     者：Yue Yin Tianqi Liu Lei Wu Chuan He Yikui Liu Yue Yin;Tianqi Liu;Lei Wu;Chuan He;Yikui Liu

作者机构：Department of Electrical EngineeringSichuan UniversityChengdu 610065China Department of Electrical and Computer EngineeringStevens Institute of TechnologyHobokenNJ 07030USA 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2021年第9卷第4期

页      面：720-733页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 080702[工学-热能工程] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：This work was supported by the National Natural Science Foundation of China(No.52007125) 

主　　题：AC power flow overvoltage risk constraint renewable energy multi-energy coordination 

摘      要：As an increasing penetration of renewable energy sources can potentially impact voltage profile and compromise system security,the security continues to be the most critical concern in power system operations.A risk-constrained stochastic scheduling model is proposed to leverage the latent scheduling capacity of a multi-energy system to seek an economic operation solution while maintaining system operation risk level against uncertain renewable *** risk constraints,as compared to the straightforward voltage boundary limits,are incorporated into the stochastic scheduling model to guarantee the operation security and *** AC power flow model is applied to enable overvoltage risk assessment within the coordinated scheduling *** proposed stochastic scheduling model is tackled via the improved progressive hedging approach with an enhanced relax-round-polish process,which overcomes the convergence issues of the traditional progressive hedging in handling nonconvex stochastic scheduling model with binary variables on both *** simulation results of IEEE 30-bus system and IEEE 118-bus system illustrate the efficacy of the proposed model in ensuring voltage security and improving economic operation of systems.