Day-ahead Risk-constrained Stochastic Scheduling of Multi-energy System
Day-ahead Risk-constrained Stochastic Scheduling of Multi-energy System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 generation.Overvoltage risk constraints,as compared to the straightforward voltage boundary limits,are incorporated into the stochastic scheduling model to guarantee the operation security and economics.Linearized AC power flow model is applied to enable overvoltage risk assessment within the coordinated scheduling model.The 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 stages.Numerical 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.
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