Abstract
Natural gas-fired power plants (NGFPPs) are considered a highly flexible component of the energy system and can facilitate the large-scale integration of intermittent renewable generation. Therefore, it is necessary to improve the coordination between electric power and natural gas systems. Considering a market-based coupling of these systems, we introduce a decision support tool that increases market efficiency in the current setup where day-ahead and balancing markets are cleared sequentially. The proposed approach relies on the optimal adjustment of natural gas price to modify the scheduling of power plants and reveals the necessary flexibility to handle stochastic renewable production. An essential property of this price-based approach is that it guarantees no financial imbalance (deficit or surplus) for the system operator at the day-ahead stage. Our analysis shows that the proposed mechanism reduces the expected system cost and efficiently accommodates high shares of renewables.
| Original language | English |
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| Title of host publication | Proceedings of IEEE PES PowerTech Conference 2017 |
| Number of pages | 6 |
| Publisher | IEEE |
| Publication date | 2017 |
| ISBN (Print) | 9781509042371 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University Place, University of Manchester., Manchester, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017 |
Conference
| Conference | 12th IEEE Power and Energy Society PowerTech Conference |
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| Location | University Place, University of Manchester. |
| Country/Territory | United Kingdom |
| City | Manchester |
| Period | 18/06/2017 → 22/06/2017 |
Keywords
- Bilevel programming
- Electricity markets
- Natural gas markets
- Stochastic programming