The Study On Operation Risk Assessment And Control Mechanism Of ShanXi Power Grid

Along with the development of "two changes" and "three sets of five" of State Grid Corporation of China,the headquarters and the province(city),these two stage operation monitoring center for strategic deployment has been gradually implemented.On considering the top-level design,detailed design,system development and debugging etc.,the two-stage operation monitoring was founded.By monitoring and analysis the power system operation key index,important resources and core business online,it can find changes or problems,and solve them immediately,which greatly improve the overall operational efficiency and benefit of the company.This paper will have some effects on establishing a risk management system,including accountability,monitoring,evaluation and coordination risks and will finally make the company's risk management closed loop.This paper scopes business risk located in the "three sets of five" core business modules,which directly affect the business performance objectives,assets or resources safety and efficiency of various risk management as the research object of this paper.The main research contents are as follows:Firstly,the paper introduces the background of the research on the risk management of power grid operation,and summarizes the theoretical foundation of operational risk management.This paper expounds the importance of early warning prevention and control of provincial power grid from the two dimensions of risk management theory and grid operation risk firstly.Then,it introduces the theoretical connotation,risk analysis and control method of risk management.The latter includes risk identification method,risk measurement degree and risk control content.Finally,the basic model of risk forecasting and the theory and method of risk evaluation are introduced.The above content research,as the prerequisite for the development of Shaanxi power grid operation risk control.Secondly,a risk identification and analysis model for operation of Shaanxi power grid is established.First of all,to determine the power grid operating efficiency objectives and business activities.Then,the operation risk identification and analysis of Shaanxi power grid are carried out from three aspects: operational risk identification process,operational risk preliminary analysis and operational risk incident analysis.Finally,the author puts forward the idea of confirming the significant operation risk of Shaanxi power grid,which provides the core index for the measurement and evaluation of grid operation risk.Then,the paper constructs the risk measurement and evaluation model of power grid operation in Shaanxi province.First,business risk relationship analysis model is established,including the impact of target-building model,the impact of the decomposition of the target,the key impact factor analysis and impact management analysis and so on.Then,it puts forward the quantitative model of operational risk value,including risk value model,risk factor sensitivity analysis and management analysis,target risk level forecasting and risk control linkage risk and so on.Finally,the risk analysis model is put forward,and the possibility,influence degree,grade and control level of the risk are evaluated.The above study quantitatively analyzes the operational risk of power grid in Shaanxi Province,which provides a basis for policy makers to carry out grid operation risk management.Finally,the paper puts forward the strategy of monitoring and controlling the operation risk of power grid in Shaanxi province.Firstly,it analyzes the management benefit target,including target monitoring strategy and goal target monitoring.Then,the paper puts forward the operational risk index monitoring strategy,including risk index monitoring and management,risk index monitoring process.Then,it analyzes the trend of business risk and measures the degree of influence of operational risk.Finally,it puts forward the operational risk coping strategy and the risk coping effect evaluation method,and provides policy monitoring and control strategy for power grid operation risk.