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The integrated electricity-gas-heat system (IEGHS) is considered as an important carrier to promote new energy consumption and achieve the goal of carbon peaking and carbon neutrality. To protect the private information of electricity-gas-heat networks, this paper develops a distributed optimal scheduling of IEGHS considering dynamic characteristics of networks. First, the dynamic models of networks are evaluated to explore energy storage capacity. Next, the distributed optimization model of electricity, gas and heat networks are established, which are solved by a generalized-alternating direction method of multiplier (G-ADMM). Finally, the joint system of modified IEEE 39 node electricity network, 15 node heat network and Belgium 20 node gas network is simulated, which proves the proposed approach can fulfill the decentralized autonomy for three networks, sufficiently alleviate the fluctuation of loads and effectively enhance the flexibility and reliability of IEGHS operation. © 2023 IEEE.
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Year: 2023
Page: 1666-1670
Language: English
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 1
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