Flexible Transmission in the Smart Grid: Optimal Transmission Switching

There is currently a national push to create a smarter, more flexible electrical grid. Traditionally, network branches (transmission lines and transformers) in the electrical grid have been modeled as fixed assets in the short run, except during times of forced outages or maintenance. This traditional view does not permit reconfiguration of the network by system operators to improve system performance and economic efficiency. However, it is well known that the redundancy built into the transmission network in order to handle a multitude of contingencies (meet required reliability standards, i.e., prevent blackouts) over a long planning horizon can, in the short run, increase operating costs. Furthermore, past research has demonstrated that short-term network topology reconfiguration can be used to relieve line overloading and voltage violations, improve system reliability, and reduce system losses. This chapter discusses the ways that the modeling of flexible transmission assets can benefit the multi-trillion dollar electric energy industry. Optimal transmission switching is a straightforward way to leverage grid controllability; it treats the state of the transmission assets, i.e., in service or out of service, as a decision variable in the optimal power flow problem instead of treating the assets as static assets, which is the current practice today. Instead of merely dispatching generators (suppliers) to meet the fixed demand throughout the network, the new problem co-optimizes the network topology along with generation. By harnessing the choice to temporarily take transmission assets out of service, this creates a superset of feasible solutions for this network flow problem; as a result, there is the potential for substantial benefits for society even while maintaining stringent reliability standards. On the contrary, the benefits to individual market participants are uncertain; some will benefit and other will not. Consequently, this research also analyzes the impacts that optimal transmission switching may have on market participants.

[1]  Mario Montagna,et al.  Optimal network reconfiguration for congestion management by deterministic and genetic algorithms , 2006 .

[2]  R. Bacher,et al.  Network Topology Optimization with Security Constraints , 1986, IEEE Power Engineering Review.

[3]  J. G. Rolim,et al.  A study of the use of corrective switching in transmission systems , 1999 .

[4]  A. G. Bakirtzis,et al.  Incorporation of Switching Operations in Power System Corrective Control Computations , 1987, IEEE Transactions on Power Systems.

[5]  조수원 University of Maryland at College Park의 곤충학과 소개 , 1997 .

[6]  B. F. Wollenberg,et al.  Corrective Control of Power System Flows by Line and Bus-Bar Switching , 1986, IEEE Transactions on Power Systems.

[7]  R. Baldick,et al.  Dispatchable transmission in RTO markets , 2005, IEEE Transactions on Power Systems.

[8]  V. Vittal,et al.  Corrective switching algorithm for relieving overloads and voltage violations , 2005, IEEE Transactions on Power Systems.

[9]  Kory Walter Hedman Flexible Transmission in the Smart Grid , 2010 .

[10]  Kory Hedman,et al.  Optimal transmission switching — Sensitivity analysis and extensions , 2009, 2009 IEEE Power & Energy Society General Meeting.

[11]  W. Hogan Contract networks for electric power transmission , 1992 .

[12]  R. Bacher,et al.  Loss reduction by network switching , 1988 .

[13]  H. Glavitsch,et al.  Security enhancement using an optimal switching power flow , 1989, Conference Papers Power Industry Computer Application Conference.

[14]  S. Oren,et al.  Smart Flexible Just-in-Time Transmission and Flowgate Bidding , 2011, IEEE Transactions on Power Systems.

[15]  Kory W. Hedman,et al.  Optimal transmission switching: economic efficiency and market implications , 2011 .

[16]  Arthur R. Bergen,et al.  Power Systems Analysis , 1986 .

[17]  M. Ferris,et al.  Optimal Transmission Switching , 2008, IEEE Transactions on Power Systems.

[18]  Michael Ferris,et al.  Co-optimization of generation unit commitment and transmission switching with N-1 reliability , 2010, IEEE PES General Meeting.

[19]  S. Fliscounakis,et al.  Topology Influence on Loss Reduction as a Mixed Integer Linear Programming Problem , 2007, 2007 IEEE Lausanne Power Tech.

[20]  Vijay Vittal,et al.  BIP-Based OPF for Line and Bus-bar Switching to Relieve Overloads and Voltage Violations , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[21]  Anthony Papavasiliou,et al.  Economic analysis of the N-1 reliable unit commitment and transmission switching problem using duality concepts , 2010 .

[22]  H. Glavitsch,et al.  Switching as means of control in the power system , 1985 .

[23]  H. Glavitsch,et al.  Integrated security control using an optimal power flow and switching concepts , 1988 .

[24]  R.P. O'Neill,et al.  Optimal Transmission Switching With Contingency Analysis , 2010, IEEE Transactions on Power Systems.