An intelligent parallel scheduling method for optimal transmission switching in power systems with batteries

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

3 Citations (Scopus)

Abstract

Daily load variation and intermittence of renewable generation may sometime cause transmission congestion in modern power system. As a result, cheap generation cannot be fully dispatched and in extreme condition involuntary load shedding will be enforced. In this paper, an intelligent parallel scheduling method using optimal transmission switching (OTS) and batteries is proposed to mitigate transmission congestion and therefore reduce operational cost. OTS and batteries are embedded in AC optimal power flow (ACOPF) with binary variables used, which is formulated as a mixed integer nonlinear programming (MINLP) problem. To solve the MINLP problem efficiently for multi-hour case, a two-stage optimization scheme is proposed based on developed knowledge. A multi-hour case first is calculated in stage one with OTS disabled to obtain the knowledge of estimated the optimal charging/discharging strategy for batteries. Then, the multi-hour case is decoupled into several subproblems and solved simultaneously in parallel computing. Numerical results on modified IEEE-118 bus system shows the usefulness of the proposed intelligent parallel scheduling method.

Original languageEnglish
Title of host publication2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509040001
DOIs
Publication statusPublished - 18 Oct 2017
Externally publishedYes
Event19th International Conference on Intelligent System Application to Power Systems, ISAP 2017 - San Antonio, United States
Duration: 17 Sep 201720 Sep 2017

Other

Other19th International Conference on Intelligent System Application to Power Systems, ISAP 2017
CountryUnited States
CitySan Antonio
Period17/9/1720/9/17

Fingerprint

Battery
Power System
Scheduling
Mixed Integer Nonlinear Programming
Nonlinear programming
Congestion
Optimal Power Flow
Binary Variables
Parallel processing systems
Parallel Computing
Extremes
Numerical Results
Optimization
Costs
Knowledge

Keywords

  • battery
  • optimal transmission switching
  • power system scheduling
  • renewable generation

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Computer Networks and Communications

Cite this

Lan, T., & Huang, G. M. (2017). An intelligent parallel scheduling method for optimal transmission switching in power systems with batteries. In 2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017 [8071398] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISAP.2017.8071398

An intelligent parallel scheduling method for optimal transmission switching in power systems with batteries. / Lan, Tian; Huang, Garng Morton.

2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8071398.

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

Lan, T & Huang, GM 2017, An intelligent parallel scheduling method for optimal transmission switching in power systems with batteries. in 2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017., 8071398, Institute of Electrical and Electronics Engineers Inc., 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017, San Antonio, United States, 17/9/17. https://doi.org/10.1109/ISAP.2017.8071398
Lan T, Huang GM. An intelligent parallel scheduling method for optimal transmission switching in power systems with batteries. In 2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8071398 https://doi.org/10.1109/ISAP.2017.8071398
Lan, Tian ; Huang, Garng Morton. / An intelligent parallel scheduling method for optimal transmission switching in power systems with batteries. 2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
@inproceedings{ddc1b418a7194abd8d147fef757a198e,
title = "An intelligent parallel scheduling method for optimal transmission switching in power systems with batteries",
abstract = "Daily load variation and intermittence of renewable generation may sometime cause transmission congestion in modern power system. As a result, cheap generation cannot be fully dispatched and in extreme condition involuntary load shedding will be enforced. In this paper, an intelligent parallel scheduling method using optimal transmission switching (OTS) and batteries is proposed to mitigate transmission congestion and therefore reduce operational cost. OTS and batteries are embedded in AC optimal power flow (ACOPF) with binary variables used, which is formulated as a mixed integer nonlinear programming (MINLP) problem. To solve the MINLP problem efficiently for multi-hour case, a two-stage optimization scheme is proposed based on developed knowledge. A multi-hour case first is calculated in stage one with OTS disabled to obtain the knowledge of estimated the optimal charging/discharging strategy for batteries. Then, the multi-hour case is decoupled into several subproblems and solved simultaneously in parallel computing. Numerical results on modified IEEE-118 bus system shows the usefulness of the proposed intelligent parallel scheduling method.",
keywords = "battery, optimal transmission switching, power system scheduling, renewable generation",
author = "Tian Lan and Huang, {Garng Morton}",
year = "2017",
month = "10",
day = "18",
doi = "10.1109/ISAP.2017.8071398",
language = "English",
booktitle = "2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - An intelligent parallel scheduling method for optimal transmission switching in power systems with batteries

AU - Lan, Tian

AU - Huang, Garng Morton

PY - 2017/10/18

Y1 - 2017/10/18

N2 - Daily load variation and intermittence of renewable generation may sometime cause transmission congestion in modern power system. As a result, cheap generation cannot be fully dispatched and in extreme condition involuntary load shedding will be enforced. In this paper, an intelligent parallel scheduling method using optimal transmission switching (OTS) and batteries is proposed to mitigate transmission congestion and therefore reduce operational cost. OTS and batteries are embedded in AC optimal power flow (ACOPF) with binary variables used, which is formulated as a mixed integer nonlinear programming (MINLP) problem. To solve the MINLP problem efficiently for multi-hour case, a two-stage optimization scheme is proposed based on developed knowledge. A multi-hour case first is calculated in stage one with OTS disabled to obtain the knowledge of estimated the optimal charging/discharging strategy for batteries. Then, the multi-hour case is decoupled into several subproblems and solved simultaneously in parallel computing. Numerical results on modified IEEE-118 bus system shows the usefulness of the proposed intelligent parallel scheduling method.

AB - Daily load variation and intermittence of renewable generation may sometime cause transmission congestion in modern power system. As a result, cheap generation cannot be fully dispatched and in extreme condition involuntary load shedding will be enforced. In this paper, an intelligent parallel scheduling method using optimal transmission switching (OTS) and batteries is proposed to mitigate transmission congestion and therefore reduce operational cost. OTS and batteries are embedded in AC optimal power flow (ACOPF) with binary variables used, which is formulated as a mixed integer nonlinear programming (MINLP) problem. To solve the MINLP problem efficiently for multi-hour case, a two-stage optimization scheme is proposed based on developed knowledge. A multi-hour case first is calculated in stage one with OTS disabled to obtain the knowledge of estimated the optimal charging/discharging strategy for batteries. Then, the multi-hour case is decoupled into several subproblems and solved simultaneously in parallel computing. Numerical results on modified IEEE-118 bus system shows the usefulness of the proposed intelligent parallel scheduling method.

KW - battery

KW - optimal transmission switching

KW - power system scheduling

KW - renewable generation

UR - http://www.scopus.com/inward/record.url?scp=85039935152&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85039935152&partnerID=8YFLogxK

U2 - 10.1109/ISAP.2017.8071398

DO - 10.1109/ISAP.2017.8071398

M3 - Conference contribution

AN - SCOPUS:85039935152

BT - 2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -