Study On Capacity Control Of Smart Distribution Grid

The starting point for Revenue Management (RM) was the Airline Deregulation Act of 1978. With this act, the U.S. Civil Aviation Board (CAB) loosened control of airline price. RM comes to be the profitable subject after becoming the intact & systematic management theory and methods through combining the theories and technologies of prediction and optimization with marketing and pricing with the characteristics of exact marketing and center on revenue.As a typical perishable product, electric power has the most fittable characteristics which comply with RM. With the development of Smart Distribution Grid, the application of intelligence devices and technologies enable information dual-direction instant transmission and real time control of power distribution. The capacity control of revenue management applied to the decision of smart distribution grid has become a powerful tool to protect electrical grade customer’s benefits, to increase operation rate of electrical asset, to optimizing power revenue, to strengthen power distribution management.Under the the primarily premise of voltage stability which is through whole paper because it is very important in the power quality and reliability, this paper establishes a continuous recursive forward model to power capacity control for the reasons of the customers being virtual nesting, continuity of power consumption, nondifferentiability points in the nonsmooth continuous revenue function curve.Three types of electrical capacities have been sorted out as a decision to make power distribute optimized.First, After defining remaining volumn as available electrical capacity, four power protection strategies have been designed to simulate the respective revenue based on different electrical products made of different feeder lines resources on the background of the typical SDG network structure and the interactive pattern by Advance Metering infrastructure (AMI).Second, Most of material are based on the analysis of the difference and the interact relationship between the active and reactive powers, any active power can be consumed provided that enough reactive power is injected at the load bus. this paper conducts the expression of reactive power as the capacity in the SDG when the active power consumed by the load dynamically and more then conducts active and reactive current (power) formulation by using the modern two-port modelling, finally, we obtain the different revenue strategies by simulating and verifying this capacity control model of reactive power by using the real grid operational data.Third, This paper comes now to the power system loads whose dynamic response is a key mechanism of voltage stability, there are two typical loads in the modern power grid induction motor and exponential load, either whichever consumes active power or power system loads are aggregates of the two loads are limited by the voltage capacity of the transformer with load tap changers (LTCs). After analysis of the load characteristic as seen by the LTC primary side, this paper obtains load-voltage relationship giving the load power as a function of load voltage that is linked to the LTC voltage, so we finally prove the active and reactive power absorbed by the transformer is made up of load power and this gives the transient load characteristic corresponding to a particular value of the transformer and then, we conduct the optimal revenue of all protection strategies and verifying this capacity control model of transformer voltage limit on the conditions of typical load type operational data.Final, the capacity control methods have been applied to the reality to verify the availability performance through comparing respective operative datas to make sure its reference value. With the application of power capacity control comes to widespread grid, the electrical resource will be further protected, the plan of electric energy consumption will be carried out, the goals that the protection for far more electricity consumers and optimizing revenue will be achieved. Mean while, what by establishing the capacity control continuous model by positive identification and definition the capacity in the electric power system which presents the guide effect to promote industries upgrading and environmental protection lays a good foundation for the Decision Support System (DSS).