Day-Ahead Optimal Reserve Capacity Planning Based on Stochastic RE and DR Models

Wen Jun Tang, Sin Yi Shih, Hong Tzer Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Renewable energy (RE) is commonly used nowadays not only to fulfill the increasing power demand but also to reduce global warming and environmental pollution. However, the uncertain characteristics of renewable energy heavily affect the capacity planning of operating reserve and thus reduce the reliability and security of power system. Appropriate planning of reserve capacity is, therefore, needed to solve these problems while maintaining cost minimization and power system stability. The proposed planning is performed based on a day-Ahead market with the reserve providers including external grid, automatic generation control, demand response (DR) program and RE curtailment. Stochastic models including independent uncertainty-related factors of RE generation and load are constructed in Monte Carlo simulations. To keep the dynamic reserve adequate and solve the aforementioned risk and cost balance problem, a chance-constrained optimal power flow is employed as a probabilistic constraint to enforce operating reserve to offer a certain extent backup capacity and risk tolerance. Moreover, the effectiveness of DR is also imitated with cross-elasticity and self-elasticity for the amount and price a consumer will bid in DR market. To verify the proposed approach for reserve capacity planning, the proposed method is tested in a modified IEEE 30-bus system with high RE penetration. The result shows a day-Ahead arrangement of operating reserve with good efficiency and economy.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538645055
DOIs
Publication statusPublished - 2018 Dec 10
Event2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 - Sarajevo, Bosnia and Herzegovina
Duration: 2018 Oct 212018 Oct 25

Publication series

NameProceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018

Other

Other2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
CountryBosnia and Herzegovina
CitySarajevo
Period18-10-2118-10-25

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

Fingerprint Dive into the research topics of 'Day-Ahead Optimal Reserve Capacity Planning Based on Stochastic RE and DR Models'. Together they form a unique fingerprint.

  • Cite this

    Tang, W. J., Shih, S. Y., & Yang, H. T. (2018). Day-Ahead Optimal Reserve Capacity Planning Based on Stochastic RE and DR Models. In Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 [8571523] (Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTEurope.2018.8571523