| In recent years,with the rapid development of our country electric power industry,the continuous expansion of grid,Safe and economic operation of power system hasbeen a subject of major electric power production. Must constantly adopting newtechnologies in guarantee under the premise of safe operation of power system, improvepower quality, reduce the power loss in the network element, which meet the safeoperation of the maximum under the condition of economy and the best power quality.Grid automatic voltage control and reactive power optimization (AVC) is to improve thepower quality in power production, and decrease network loss and the monitoring of thepower grid safe operation level of the important means.Currently, sanming to reconcile various counties AVC control equipment in theindependent running mode, the AVC system at all levels without the coordination ofregulating instructions on its own. At the same time, the sanming area is located in amountainous area, small quantity of water and electricity, power grid peak valley loadchange is bigger, power grid or regional power grid power grid at the county level, anynode reactive changes will affect the system reactive power, voltage changes.According to the existing county AVC build alignment equipment platform, where thebrown of the regional main transformer tap-changer adjust minimum, capacitorswitching is the most reasonable and highest voltage qualified rate and power lossminimum and extend the life of the main equipment of comprehensive optimizationgoal, in sanming area power grid power quality comprehensive improvement andincrease a lot of help.This topic based on the actual sanming area power grid, mainly through theautomatic voltage and reactive power control strategy and algorithm, DeXian AVCsystem between cooperate way carries on the analysis, research, discuss a reasonablejoint adjustment scheme, county the AVC system transmission platform, where thebrown form AVC hierarchical coordination optimization calculation, county AVCsystem where the brown finally realize optimal operation normally expected. |