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Distributionally robust chance-constrained economic dispatch of multi-area electricity-gas-heat integrated energy systems

机译：Distributionally robust chance-constrained economic dispatch of multi-area electricity-gas-heat integrated energy systems

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摘要

Electricity-gas-heat integrated energy systems (IES) provides an effective way to accommodate renewable energy due to its sufficient flexible generation resources and flexible operating modes. This paper focuses on the distributionally robust operation problem of multi-area IES in a distributed manner. A distributionally robust chance-constrained (DRCC) economic dispatch (ED) model is developed to handle renewable energy uncertainties in IES. Different flexible generation resources in each energy sector are exploited for uncertainty mitigation in the proposed DRCC ED model. Meanwhile, to achieve the decision-making independence of each local IES, an accelerated alternating direction method of multipliers algorithm is adopted to solve the resulting multi-area ED model in a fully decentralized and parallel manner. Case study demonstrates the effectiveness of the proposed method.

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