Research On A Novel Electric Cluster Oriented Network Based On Distributed Generation And Microgrid

In the 21th century, the energy problem consists not only of the exhaustion of fossil fuels, but also of global warming by greenhouse gas emissions. The implication of global warming is that energy problems cannot be solved only from the economic view-point. In order to save the earth, we must start saving energy on the basis of ecologic considerations.Many dispersed electric generators,solar photovoltaic systems, wind generators, and fuel cells are installed today, and their numbers are increasing rapidly. However, these dispersed generation systems are still only supplementary to huge centralized power stations, trunk lines, and distribution systems. In the near future, the combustion of fossil fuels must come to an end, not only because of undesirable emissions, but also because of global warming.Thus, it is possible that we will not be able to use'centralized energy'to generate electric power.This paper studies the ECO network contained distributed resource based on the distributed generation and micogrid technology.With conventional power networks, any unbalance that may occur in power flow is treated by changing the output distribution among power generators. With ECO network, however ,distributed power sources have a variety of operation patterns, differing in power supply reliability, price, and destination points. Hence, it is difficult to regulate output distribution among conventional power generators and distributed power sources, or among diverse distributed power sources. Thus, in ECO network, instead of changing the output distribution between power sources, power flow is controlled by means of coordinate charge/discharge of multiple distributed energy storages. The power router, which is the main focous of this paper, is a power flow control unit that incorporates energy storage and control tools. This paper shows that optimal control theory can be applied to determine the control action of the power router .The obtained optimal control action minimizes the difference between the load pattern of the consumer and the supply pattern of the router under the inequality constraints of energy storage capacity.A numerical example is given in order to check the validity of optimal control theory application.This paper proposed an application of mobile agent technology for power flow control and maintaining supply-and-demand balance with respect to bilateral transactions in future power network. Although the agent manufactured in this paper are elementary and simple, simulation results shows that mobile agents can search and use the information such as data about bilateral transactions and power flow in computer network. In this paper,the appliability of queueing theory for determing the capacity is also discussed.The new electric power architecture described here is a vision for the next generation, in the near future. Numerous small, self-sustaining, autonomous electric power systems, namely,'electric power clusters'are networked with a DC interface, and exchange electric energy between them intermittently and resourcefully. These networks will also be extended to cover all areas of human habitation.