Ziang Zhang

TL;DR: The mathematical formulation of the incremental cost consensus algorithm, which is able to solve the conventional centralized economic dispatch problem in a distributed manner, and the results of several case studies show that the difference between network topologies will influence the convergence rate of the ICC algorithm.

TL;DR: The incremental welfare consensus algorithm is distributed and cooperative such that it eliminates the need for a central energy-management unit, central price coordinator, or leader, and convergence to the global optimum without requiring a central controller/coordinator or leader.

TL;DR: Experiments are conducted to demonstrate that LSTM-based RNN is capable of forecasting accurately the complex electric load time series with a long forecasting horizon and its performance compares favorably to many other forecasting methods.

TL;DR: In this paper, the incremental cost of each generation unit as the consensus variable is used to solve the conventional centralized control problem in a distributed manner, where the row-stochastic matrices have been used to indicate the different topologies of distribution systems and their configuration properties, such as convergence speeds.

TL;DR: In this paper, an average consensus algorithm is used to acquire the system power mismatch information to solve the economic dispatch problem in a distributed manner instead of using conventional centralized approaches, and the results of several case studies are presented to show the convergence rate of the ICC algorithm and the comparison between the previous ICC and the new two level ICC algorithm.