An approximation for parallelism in ACOPF based stochastic optimal transmission switching with battery energy storage systems

Tian Lan, Zhangxin Zhou, Garng Morton Huang

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

1 Citation (Scopus)

Abstract

Deterministic optimal transmission switching and energy storage devices such as battery energy storage system (BESS) are proposed to improve power system flexibility and efficiency in the past decade. The growing penetration of renewable sources in the modern power grids brings more unpredictability in the daily operation. As a result, in the day-ahead scheduling stage, a stochastic programming formulation should be adopted to calculate the optimal switching plan and optimal battery charging/discharging pattern considering grid uncertainties. In this paper, the mathematical formulation for ACOPF based stochastic optimal transmission switching with BESS is proposed. Parallelism is explored to solve the multi-stage stochastic programming problem. The IEEE reliability test system with batteries installed is used to demonstrate the validity and effectiveness of the proposed method. The expected operational cost of the system could be reduced significantly by using optimal transmission switching and BESS.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781538625088
DOIs
Publication statusPublished - 4 Jun 2018
Event12th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018 - Doha, Qatar
Duration: 10 Apr 201812 Apr 2018

Other

Other12th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018
CountryQatar
CityDoha
Period10/4/1812/4/18

    Fingerprint

Keywords

  • ACOPF
  • BESS
  • Optimal transmission switching
  • Renewable generation
  • Stochastic programming

ASJC Scopus subject areas

  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Lan, T., Zhou, Z., & Huang, G. M. (2018). An approximation for parallelism in ACOPF based stochastic optimal transmission switching with battery energy storage systems. In Proceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018 (pp. 1-7). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CPE.2018.8372607