
Optimal scheduling of reconfigurable grids considering dynamic line rating constraint
Author(s) -
Mohamed Mohamed A.,
Awwad Emad Mahrous,
ElSherbeeny Ahmed M.,
Nasr Emad Abouel,
Ali Ziad M.
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.1570
Subject(s) - electric power transmission , overhead (engineering) , mathematical optimization , electric power system , computer science , linear programming , scheduling (production processes) , reduction (mathematics) , transmission line , economic dispatch , reliability engineering , power (physics) , control theory (sociology) , engineering , mathematics , electrical engineering , telecommunications , geometry , physics , control (management) , quantum mechanics , artificial intelligence , operating system
Power system automation is an effective tool from both economical and technical aspects to improve the optimal operation of power generators. In this regard, Security Constrained Unit Commitment (SCUC) incorporating Dynamic Thermal Line Rating (DTLR) of overhead transmission lines can boost the system security effectively. Using Transmission Switching (TS) tool in SCUC problems leads to cost reduction. Still, one of the main challenges arisen in TS problems is the excessive number of switching in lines, which decreases the lifespan of power switches. In this paper, an Improved Linear AC Optimal Power Flow (ILACOPF) is proposed by using TS and considering Heat Balance Equation (HBE) as a security constraint. Merging dynamic thermal line rating (considering the weather conditions) in SCUC with TS, besides decreasing the number of switching and increasing the lifespan of power switches, causes a remarkable reduction in operating costs. In this power flow, system losses are modeled by linear formulations. Moreover, a linear approximation of the heat losses due to power flow through lines is proposed. To solve the proposed model, Benders' decomposition approach is applied. The performance of the proposed framework has been evaluated on 6‐bus and 118‐bus IEEE test systems.