Composite Flow State Calculation Of Electric Power Network

With the in-depth development of environment-friendly, resource conservationand social development strategy, Power system is given the social functions andresponsibilities that optimize primary energy and distribute environmental resourcesbased on the fact that it play a basic role in power generation, power transmission,power distribution and power supply. That also makes electric power network play ahidden role in the transmission among a variety of composite flows includingprimary energy flows, environmental information flows and economic informationflows based on the fact that the electric power network is the carrier of theelectricity supply-demand relationships. At present, the electricity industry isgradually promoting market-oriented electricity exchange, energy-saving powerdispatch, and green power system production and so on. In the implementationprocess of the work, it inevitably need to concurrently consider the questions of avariety of non-electric flows including electric flows etc. How to analyze thedistribution state of the composite network flows unit of different characteristicsafter the electric power network transmission, that is,how to comprehensiveconsideration of the composite flow state and a variety of needs of system(including electrical requirements and needs of non-electrical) cost-sharing hasbecame a new problem needed to be studied and solved immediately.According to the distribution state of composite flow after the electric powernetwork transmission, firstly this paper expounds the basic calculation thoughts ofpower network composite flow state. Then on this basis, by constructing the modelof the relationship between non-electric variables and electrical quantities and theequations of non-electrical variables in the bus place to establish the calculationmodel of electric power network non-electrical flow status and make theproportional sharing principle of bus distribution between electric quantities extendto distribution relationship between the non-electric variables in the bus place. As aresult, a calculation method of composite flow state is proposed.In order to solve the composite flow of different bus is how to distributeimpliedly in the electric power network path and the specific circumstance ofelectrical path being occupied; this paper used two ways to solve it in this paper.Firstly, the initial supply and demand relationship among path chains of compositeflow can be obtained by form the path chain of digraph in electric power network,use distributive proportional sharing principle of composite flow in the position ofbus, and calculate bus and branch one by one along the direction of active power from the head of the path chain based on the fact that distribution of compositeflows is achieved. Based on that, specific supply and demand relationship amongcomposite flows of the electric power network can be obtained by calculate bus andbranch one by one along the opposite direction of active power from the head of thepath chain. Secondly, In order to establish the relationship of non-electricalvariables and the electrical quantities of bus and branch in the electric powernetwork, it can apply the information of electrical dissection, along the direction ofactive power from power source bus to Load flow bus to analyze non-electricvariables that are implied exist in dissectional electric quantities orderly. Then themethod of composite flow supply-demand relationships of the electric powernetwork can be formed.In order to comprehensively consider the electric power network sharing costof composite flow, this paper proposed three kinds of cost-sharing methods abouttransmission price. These three methods took fully into account non-electricvariables and electric quantities based on the fact that detailed supply-demandrelationships of power network composite flow path chain are achieved, andperformed an analysis of comparison and validation through the example.This work is supported by Higher School Specialized Research Fund for theDoctoral Program Funding Issue (NO.20102302110021) and the National NaturalScience Foundation of China (NO.50877014).