Abstract
Recent studies have shown that the dynamic removal of transmission lines from operation (Transmission Switching) can reduce the costs associated with power system operation. Smart Grid technologies introduce flexibility into the transmission network topology and enable state dependent co-optimization of generation and network topology. The optimal transmission topology problem has been posed in previous research on small test systems. However, the problem complexity and large system size makes optimal transmission switching (OTS) intractable on real power systems. We analyze the optimal transmission switching results of prior work on the RTS-96 network and find that most of the economic benefits arise from switching a small number of lines. We decompose the results to determine the marginal savings contribution of each optimally switched line. Our marginal analysis leads to the development of an off-line screening method, based on network sensitivities, for identifying candidate switchable lines. When compared to OTS on the RTS-96 network, our screening tool generates near optimal solutions in a fraction of the time.
| Original language | English (US) |
|---|---|
| Title of host publication | 2012 IEEE Power and Energy Society General Meeting, PES 2012 |
| DOIs | |
| State | Published - 2012 |
| Event | 2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA, United States Duration: Jul 22 2012 → Jul 26 2012 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Other
| Other | 2012 IEEE Power and Energy Society General Meeting, PES 2012 |
|---|---|
| Country/Territory | United States |
| City | San Diego, CA |
| Period | 7/22/12 → 7/26/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
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