Research On Measurement Optimization Configuration And Stochastic Transient Stability Measurement And Control Methods For Power Systems With Wind Farms

During the critical period of achieving the "dual-carbon" goals in the national strategy,with the increasing integration of wind farms into the power grid,the measurement of relevant parameters in the operation of power systems with wind farms under complex conditions and the utilization of synchronized data has become the focus of attention.Although the research on modeling and wide-area transient stability analysis of power systems with wind farms using synchrophasor data has become mainstream and applied in industrial practice,there is currently no unified theoretical framework that combines mathematical modeling and stochastic description for the new power system.Therefore,it is crucial to construct a wide-area transient stability assessment model that reflects stochasticity and can analyze the overall system stability under different types of faults and their occurrence locations.Despite the emergence of various research methods,there are still deficiencies in incorporating the influence of wind farm stochasticity.Based on the power grid operation guidelines,when a significant fault occurs in the system,it is important to further study the development methods of measurement and control devices that provide effective support for voltage fluctuations at the wind power integration points and formulate corresponding measurement and control strategies.To address the abovementioned issues,the main research objectives of this paper are as follows:Firstly,to obtain millisecond-level wide-area synchronized raw data of power systems with wind farms before and after faults,a measurement method for system operating states based on wide-area measurement technology is studied.The configuration scheme of synchronized phasor measurement units in wide-area measurement technology is optimized,and the effective measurement of raw electrical quantity data during the operation of key nodes in the power system with wind farms in Chengdu and its surrounding areas is achieved based on distributed measurement units.Secondly,to cover the major influencing factors in power systems with wind farms,the system is decoupled into seven parts for theoretical and mathematical research.On the basis of considering the influence of stochastic sources,a stochastic transient energy function model suitable for power systems with wind farms is constructed.Combining the theory of random matrix spectral functions,a new wide-area transient stability assessment model for power systems with wind farms is proposed.Based on the raw data obtained from the optimized configuration of phasor measurement units in the power system with wind farms in Chengdu and its surrounding areas,the proposed model is used to evaluate the overall operating state of the system and the relative fluctuation levels of individual nodes during system faults,thereby validating the effectiveness of the model in assessing system operating states,identifying fault types,and determining fault locations.Finally,based on the proposed optimized configuration scheme of synchronized phasor measurement units and the wide-area transient stability assessment model,a design scheme for a torque-based voltage support adaptive measurement and control module is proposed to meet the low-voltage ride-through requirements of wind power integration points under fault conditions.Through comparison with four classic measurement and control modules,the voltage support adaptive measurement and control module proposed in this paper is verified to provide faster and more effective measurement and support for voltage fluctuations at wind power integration points during system faults,based on various parameter indicators.