Contingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System
Sustainable development of combined electricity and heat system (CEHS) can effectively facilitate the energy transition from fossil energy consumption to comprehensive utilization of multiple energy. The coupled energy system, featured with the risk of components failure and the integrated uncertain...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
IEEE
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/3606dea077724c2c8de75856d615cfd8 |
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| Sumario: | Sustainable development of combined electricity and heat system (CEHS) can effectively facilitate the energy transition from fossil energy consumption to comprehensive utilization of multiple energy. The coupled energy system, featured with the risk of components failure and the integrated uncertain renewable energy sources (RESs), can face a safety and reliability operation challenge. Therefore, achieving the tradeoff between the economy and risk aversion for the CEHS operation is an urgent issue to be settled. This paper proposes a contingencies-based distributionally robust co-risk operation model (DRCROM) for the CEHS, which provides the failure risk sample of components applied by the non-sequenced Monte Carlo simulation (MCS) method and the penalty of energy spillage (including wind spilling and load shedding) under contingencies. Moreover, the uncertain power output risk of RESs can be addressed by using the distributionally robust individual chance-constrained (DRICC) methodology with Wasserstein metric ambiguity set. As a result, incorporating the uncertain component state and power output of RESs into the risk operation can be considered in this paper. Case studies can be conducted to give risk analyses that the average violation probability <inline-formula> <tex-math notation="LaTeX">$V_{p}$ </tex-math></inline-formula> and the total co-risk dispatch cost <inline-formula> <tex-math notation="LaTeX">$C^{\text {Obj}}$ </tex-math></inline-formula> are mainly affected by <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>. Contingencies can also increase risk indices and influence the dispatch energy and energy spillage. |
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