An access constraint driven execution control method for a green electricity direct connection energy management strategy

By employing a dual-timescale consensus mechanism and differentiated control commands, the problems of rigid consensus structure and static uniformity of security constraints in green electricity direct connection systems are resolved, thereby improving the system's operational security and collaborative control adaptability.

CN122267877BActive Publication Date: 2026-07-21TIANJIN HAOCHEN INTELLIGENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TIANJIN HAOCHEN INTELLIGENT TECH CO LTD
Filing Date
2026-05-27
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies cannot achieve dynamic synchronization between consensus structure and physical connection in green electricity direct connection scenarios, and do not generate differentiated safe operation boundaries based on the unit topology location, resulting in voltage exceeding limits, deterioration of imbalance, and equipment overload risks.

Method used

A dual-timescale consensus mechanism is adopted. Multi-dimensional electrical operating parameters are sensed in the first consensus cycle, and the topology connection status is updated in the second consensus cycle. Differentiated control commands are dynamically generated, and a safety weight coefficient is generated based on the electrical distance of the most unfavorable node to adjust the active and reactive power output.

Benefits of technology

It improves the operational safety and collaborative control adaptability of the green electricity direct connection system, reduces communication burden and single-point failure risk, and achieves highly reliable distributed collaborative control.

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Abstract

The application provides an access constraint driving execution control method of a green electricity direct connection energy management strategy, and belongs to the technical field of power system automatic control. The method is based on a double-time scale collaborative mechanism. In a second consensus cycle, each unit constructs a regional simplified topological model, and generates a dynamic parameter value interval of a voltage amplitude, a negative sequence imbalance degree and an apparent power in combination with a local topological feature. In a first consensus cycle, a three-dimensional most unfavorable operating condition and a corresponding extreme unit identity are obtained through a distributed consistency algorithm. When the first consensus value approaches but does not exceed the dynamic boundary, each unit calculates an electrical distance between the most unfavorable node and the unit based on the regional simplified topological model, maps the electrical distance into a safety weight coefficient by using a monotonically decreasing function, and then generates a differentiated control instruction to adjust active / reactive power output. The method is completely local autonomous, and effectively improves the operation safety and adaptive adjustment capability of a distribution network under high proportion green electricity access.
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