2022
DOI: 10.1007/s11708-022-0857-1
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Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

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Cited by 7 publications
(3 citation statements)
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“…In the given equations, Equation ( 13) represents the node model in the DHS. Equations ( 14), ( 16) and (18) correspond to the thermal model in the supply network. On the other hand, Equations ( 15), ( 17) and ( 19) represent the thermal model in the return network.…”
Section: Heating Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…In the given equations, Equation ( 13) represents the node model in the DHS. Equations ( 14), ( 16) and (18) correspond to the thermal model in the supply network. On the other hand, Equations ( 15), ( 17) and ( 19) represent the thermal model in the return network.…”
Section: Heating Systemmentioning
confidence: 99%
“…However, this work formulated the problem as a mixed-integer nonlinear programming (MINLP) problem. Diverging from the aforementioned studies, reference [18] introduced electricity-gas coupling into the AC/DC power system for optimal scheduling, incorporating the influence of market environments to enrich the optimization problem. As the problem was nonlinear, the second-order cone programming method was employed to transform it into a mixed-integer linear programming problem (MILP) for improved solvability.…”
Section: Introductionmentioning
confidence: 99%
“…Simple active or reactive power optimization scheduling is difficult to meet the safe operation and economic requirements of the distribution network, and the uncertainty of distributed power output will cause serious voltage fluctuations. Therefore, it is necessary to coordinate and optimize the active power and reactive power resources in the distribution network (Liu et al, 2022a;Jiang. et al, 2023a).…”
Section: Introductionmentioning
confidence: 99%