Research and Solutions on Computational Issues in Smart Grid

Smart grid is one of the main streams in the global energy development. It integrates communication and electricity and forms a self diagnosed and electronically controlled electric power system. Its function is full of flexibility and it will improve the system＇s security. Since every bus in smart grid possesses a processor, and these processors are connecting each other using fiber links based on the network topology of the power grid. Therefore, the smart grid itself is a super computer and will not have a central control center. In this project, we will call this smart grid as a processor network. Consequently, the traditional computational issues in power system need some new algorithms to solve them. In this project, we will propose new algorithms for solving the computational problems in smart grid such as power flow, state estimation and optimal power flow problems. Basically, the above mentioned problems are of the type of network optimization problems. Therefore, we will propose a complete decomposition algorithm that can be executed in the processor network to solve the network optimization problem. Then, we will apply the proposed algorithm to solve the power flow, state estimation and optimal power flow problems in the smart grid. Our project is planned for a three-year work, and we summarize the major work of each year in the following. 1. First year: we will propose a complete decomposition algorithm to solve the network optimization problem with equality constraint and propose the control mechanism for maintaining the computational synchronization of the algorithm when executed in the processor network. 2. Second year: we will formulate the power flow and state estimation problems into the network optimization problems with equality constraint and modify the complete decomposition algorithm developed in the first year based on the power system characteristics to solve the formulated problems. 3. Third year: we will extend the complete decomposition algorithm developed in the first year to solve the network optimization problem with inequality constraint and apply the algorithm to solve the optimal power flow problem in smart grid.

Project ID:PB10007-2279
External Project ID:NSC100-2221-E182-035