| Research on economic dispatch problem(EDP)is one of the important research topics of microgrid.The objective of the EDP is to minimize the summation of the generators cost while the generators constraints and the power balance constrains are satisfied.With the addition of various distributed energy sources,the traditional grid structure has become large and complex.The distributed consensus algorithm is considered to be applied to the economic dispatching of smart grid,since the traditional centralized dispatching method is not competent for the economic dispatching task in the complex structure of smart grid.First,the distributed consensus mutual feedback algorithm is used to study the economic dispatching of smart grid.In this study,the estimated global power mismatch was solved firstly by using the "Interactive-Consensus" algorithm,which acted as the first feedback value to adjust the current power generation of generators.And then,the estimated optimal power generated of each agent is regarded as the second feedback value reacts on the estimated global power mismatch.In such a mutual feedback mechanism,we show that the algorithm can converge to the optimal solution.Second,the distributed consensus Half-Search algorithm is used to study the economic dispatching problem of smart grid.In this study,a flooding-based consensus approach is applied to simplify the network structure through absorption searching,which can be used to collect information among nodes.After the stage of gathering information,a distributed half-search algorithm makes the nodes obtain the final optimal solution of EDP in a distributed way.Last,the distributed λ-consensus algorithm is used to study the economic dispatching problem of smart grid.The proposed approach contains two stages,collecting data from neighbors using FBC algorithm in the first stage,and getting optimal power outputs for each generator using λ-consensus algorithm in the second stage.Simulation results in standard test cases are presented to demonstrate the effectiveness of the proposed control strategy... |