Research and Application of Intelligent Processing Technology for High-Power Shortage in Receiving End Power Grid with Multiple DC Inputs

[Objective] Power grids face challenges in managing steady-state automatic and collaborative prevention and control measures， particularly owing to issues such as DC blocking， large unit tripping， and reliance on manual scheduling for the rapid response from resources including pumped storage and electrochemical energy storage. These have resulted in challenges in ensuring the frequency safety， regional control deviations， and minimizing the risk of load shedding. To address these issues， an intelligent processing method is proposed for high-power shortage in receiving-end power grids comprising multiple DC inputs. [Methods] This method automatically detects power grid shortage faults， calculates the total regulation demand， and allocates the demand based on prioritized criteria， including resource availability， operating conditions， and unit capabilities， considering the characteristics of the control object and various safety constraints. Control instructions are generated by employing strategies that incorporate available capacity statistics， shortage startup judgment， regulation demand allocation， control of pumped and energy storage systems， safety constraints， and control recovery. This approach facilitates the remote activation of multiple types of fast regulation resources， enabling rapid stabilization of the grid during steady-state power shortage. [Results] Using this method， the first domestic high-power-shortage intelligent processing system for power grids was developed and successfully implemented in a large-scale DC receiving-end provincial power grid. The control effect and reliability satisfied the actual usage requirements. [Conclusions] The application of the proposed methodology in handling steady-state high-power shortages in power grids represents a significant shift from manual telephone scheduling to automatic intelligent processing. This transition reduces decision-making time from minutes to seconds， thereby substantially improving fault-handling efficiency， and ensuring the stability of the power grid frequency and interconnection line power. Operational testing demonstrated the practicality and high reliability of the system， underscoring its potential for broader adoption and implementation in other power grid systems.