A response-based online integrated quantitative assessment method for the whole situation of large power grids

Abstract

The present invention provides a response-based online integrated quantitative evaluation method for the whole situation of a large power grid, including: S1, obtaining the topological structure information of the power grid from the SCADA system and the EMS system, and establishing a corresponding relationship with the power grid components of the WAMS system; S2, from the SCADA system system, EMS system or WAMS system obtains the power flow data of the current operation mode of the power grid or obtains various expected power flow or transient fault time domain data from the DSA system; S3, macroscopically divides the response data into steady state (or quasi-state) Steady state) and transient (or dynamic) two operating scenarios, the static stability situation assessment of the power grid is performed in an online node-oriented manner, and the transient stability situation assessment of the power grid is performed in an online unit-oriented manner. When constructing static and transient comprehensive evaluation indicators, we start from the three perspectives of component-level thermal stability, electrical quantity qualified range, and system-level stability to improve the comprehensiveness and rationality of the overall situation evaluation indicators; use the task parallel method to improve the overall situation integration. Evaluate efficiency.

Description

technical field [0001] The invention relates to the field of online safety monitoring and early warning of large power grids, in particular to a response-based method for online integrated quantitative evaluation of the whole situation of large power grids. Background technique [0002] Ensuring the safe and economical operation of large power grids is the goal that power workers have been striving for for many years. With the continuous expansion of the scope of grid interconnection, the continuous deepening of the reform of the market-oriented system of the power industry, and the continuous access to UHV power transmission and renewable energy generation, the uncertainty of grid operation has increased, making the grid operating environment and dynamic behavior more complex. It is more difficult to analyze and control its stability. Once an accident occurs in the modern large power grid, if it is not dealt with in time, the consequences will be very serious. Since 2000 ...

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Problems solved by technology

[0003] At present, there are mainly four problems in the field of online security assessment and early warning of large power grids: ①Online security assessment of power grids mainly adopts traditional network modeling and simulation, although power grid security assessment mainly based on modeling and simulation It is an indispensable and important tool, but this method is restricted by factors such as the power grid model, parameters, and numerical calculations. It is difficult to adapt to the requirements of real-time monitoring of the power grid in terms of application scale, speed, and matching degree with real power grid conditions. New concepts and faster solutions; ②Large blackouts are often caused by unforeseen cascading failures or random disturbances. The existing "offline pre-decision and online matching" power grid security control mode based on expected accident sets cannot Matching the real working conditions of the power grid, and affected by the model and parameters, the obtained scheme is sometimes too conservative (or optimistic), especially the problem of combined explosion of fault sets severely limits the number of possible working conditions

However, in fact, grid stability is a unified nonlinear dynamic system stability problem. From the perspective of grid response, power angle and voltage are only an external form of expression, and there is a "dynamic The dialectical thought that there is stillness in the middle, and there is movement in the stillness"

Therefore, many existing evaluation methods and indicators have great overlap, and a more effective evaluation index system that can truly reflect the power grid operation situation is needed in a real-time operating environment; The online monitoring system did not provide intuitive and effective quantitative assessment and early warning information of the power grid operation situation during the slow deterioration of the power grid state, nor did it provide corresponding control measures based on the real working conditions of the power grid, which missed the best time to turn the tide

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