Yu, LiyingWang, PengChen, ZheLi, DewenLi, NingCherkaoui, Rachid2023-06-052023-06-052023-06-052023-01-0110.1109/ISGTMiddleEast56437.2023.10078513https://infoscience.epfl.ch/handle/20.500.14299/198030WOS:000982395000023This paper presents a distributed shadow dynamic consensus (DSDC) framework to address the generation company (GENCO) strategic bidding problem in the independent system operator (ISO) operation. First, each sub-group is defined according to the communication principle. The global resource allocation can be solved by introducing the local shadow power demand. Then, for the general market clearing optimization problem, a distributed dynamic consensus algorithm is presented to estimate the general equality constraint. The optimal locational marginal price (LMP) and power allocation in each sub-group are obtained in this step. Finally, the optimal solution is corrected when considering the transmission constraint. A theoretical analysis of the DSDC framework is provided. The algorithm and model are tested by the IEEE 30-bus test system to support the proposed DSDC framework.Computer Science, Artificial IntelligenceEnergy & FuelsEngineering, Electrical & ElectronicComputer ScienceEnergy & FuelsEngineeringelectricity markettransmission linebidding strategiesdistributed optimizationelectricitygenerationtext::conference output::conference proceedings::conference paper