Published Paper Details:

The self-regulating of power industry, large power users can buy electricity directly from power producers. For trades between different domestic markets, it is necessary to research on the method to find the cheapest route for power exchanging. Moreover, as there exists no coordinator above domestic markets, the power routing problem must be solved in a distributed way. Most previous research are based on power electronic transformers. Some research proposed EMS of sub- networks as energy routers, but failed to consider the power flow constraints or did not converge in some specific cases. Our method is based on the EMS of multiple markets, which saves cost by eliminating expensive electronic transformers and has high efficiency in systems with numerous nodes by considering the domestic markets as generalized nodes. We take transmission costs and congestion costs into consideration, and uses greedy approach to determine the cheapest route for power transmission between different domestic markets and make convergence analysis about our algorithm. This method proves effective and convergent when there is no loop among the markets. A four- market loop-free case was used to illustrate the efficiency of the method.