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

Yue Yin, Tianqi Liu, Lei Wu, Chuan He, Yikui Liu

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Article number9433490
Pages (from-to)720-733
Number of pages14
JournalJournal of Modern Power Systems and Clean Energy
Volume9
Issue number4
DOIs
StatePublished - Jul 2021

Keywords

  • AC power flow
  • multi-energy coordination
  • overvoltage risk constraint
  • renewable energy

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