| JOURNAL OF CLEANER PRODUCTION | 卷:281 |
| Coordinated operation of electricity and natural gas systems from day-ahead to real-time markets | |
| Article | |
| Guerra, Omar J.1  Sergi, Brian1  Craig, Michael2  Pambour, Kwabena Addo3  Brancucci, Carlo3  Hodge, Bri-Mathias1,4,5  | |
| [1] Natl Renewable Energy Lab, Golden, CO 80401 USA | |
| [2] Univ Michigan, Ann Arbor, MI 48109 USA | |
| [3] Encoord Inc, Denver, CO 80204 USA | |
| [4] Univ Colorado, Boulder, CO 80309 USA | |
| [5] Renewable & Sustainable Energy Inst, Boulder, CO 80309 USA | |
| 关键词: Interdependent energy systems; Electricity; natural gas; Coordinated operation; Wind power; Solar power; | |
| DOI : 10.1016/j.jclepro.2020.124759 | |
| 来源: Elsevier | |
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【 摘 要 】
Power systems worldwide are becoming more reliant on energy from natural gas, wind, and solar, posing potential reliability and coordination challenges from the tighter coupling of these infrastructure systems. This paper proposes a framework for the market-based coordination of electricity and natural gas system operations. The proposed framework includes a power system model that accounts for flexibility in the commitment of power plants with short start-up and shut-down times, coupled with a dynamic gas model that simulates when gas cannot be delivered to generators. The capabilities of the framework are illustrated using real-world electric power and gas systems, including scenarios around wind and solar penetrations and the analysis of time-variant, shaped flow gas nominations. Our results indicate that coordination between power and gas systems improves total gas delivery and reduces out-of-merit order dispatch in the electricity system, and that shaped flows may reduce unserved gas in systems with high penetrations of wind and solar energy sources. Coordination can have mixed effects on carbondioxide emissions, with emissions increasing with coordination for current systems during high load weeks but decreasing for systems with high renewable penetrations, particularly during periods of high variability. (C) 2020 Elsevier Ltd. All rights reserved.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_jclepro_2020_124759.pdf | 5927KB |
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