Study On Intelligent Dispatching System Of Power Plant And Substation Voltage Coordination Control

As the economy continues to develop, power grid load is constantly increasing,and increasingly complex grid structures. The demand for power quality is graduallyimproving. New technologies are emerging, the grid control brought about a newrevolution in the profiling run. National grid company to follow this trend andvigorously advancing the reform of power system and power grid operation anddispatching safer, smarter, better. Power companies respond to the calls of State gridCorporation in Hebei province, and vigorously promote the construction of intelligentdispatching control systems. Construction of intelligent dispatching control systems tothe grid control and scheduling has brought new changes to enhance the safeoperation of power grids.Voltage stability is an important indicator of the safe operation of the power grid,and automatic voltage control carries major implications for maintaining voltagestability.Power plants and substations are important power system energy productionand transit stations, they can produce large amounts of reactive power. We mainly usehierarchical control scheme to control voltage, but many voltage partition is in thesouth hebei power network, which brings certain challenges. Therefore, according tothe actual situation we analyze characteristics of south Hebei power network, then wemade using fuzzy clustering method to divide the secondary voltage control area, andanalyze and discuss the district results.Multi-Agent system is a branch of artificial intelligence, its own characteristicscan be well adapted to the characteristics of a power system. Based on the voltagepartition the Multi Agent technology used to control the system voltage control. Inpower plants and substations mostly involves two levels of voltage. So thisdocumentation is mainly focused on secondary voltage control and voltage control fordesign and optimization. The theory was in intelligent control system platform testrun, and results are analyzed. Results demonstrate programme based on Multi-Agentsystem can to a certain extent meet the requirements of the current power gridoperation.