Full-automatic intelligent adjusting method based on terminal voltage of photovoltaic district

By constructing a hierarchical intelligent control system and adaptive algorithms, the problem of unstable voltage at the end of the power grid caused by the volatility of photovoltaic power generation was solved, realizing coordinated optimization and intelligent regulation at multiple time scales, and improving the operational resilience and economic benefits of the power grid.

CN122136904APending Publication Date: 2026-06-02STATE GRID SHANDONG ELECTRIC POWER CO DONGYING HEKOU DISTRICT POWER SUPPLY CO
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID SHANDONG ELECTRIC POWER CO DONGYING HEKOU DISTRICT POWER SUPPLY CO
Filing Date
2026-03-18
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Under high photovoltaic penetration rates, existing technologies suffer from intermittent and volatile photovoltaic power generation, leading to unstable voltage at the end of the distribution network. The lack of multi-timescale collaborative optimization and intelligent adaptive capabilities results in conflicting control objectives and reduced lifespan of energy storage systems.

Method used

A hierarchical intelligent control system is constructed, comprising four levels: planning, scheduling, control, and execution. By combining adaptive model predictive control algorithms and multi-priority arbitration mechanisms, closed-loop optimization is achieved from long-term capacity configuration to millisecond-level power execution, dynamically coordinating power smoothing, voltage regulation, and frequency support.

Benefits of technology

It has improved the operational resilience and power quality of photovoltaic high-penetration areas, avoided control target conflicts, reduced ineffective actions of energy storage systems, and ensured the safe and economical operation of the power grid.

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Abstract

The present application relates to the field of new energy power generation and energy storage technology, specifically to a full-automatic intelligent adjustment method based on photovoltaic terminal voltage of a district, a photovoltaic power distribution system based on a digital twin platform, which adopts a four-layer collaborative architecture of a planning layer, a scheduling layer, a control layer and an execution layer; the planning layer performs long-term capacity optimization; the scheduling layer performs intraday economic rolling scheduling; the control layer is the key, which adopts an adaptive model predictive control algorithm, determines the ramp rate constraint dynamically by real-time calculation of photovoltaic fluctuation rate combined with energy storage SOC, and solves real-time compensation instructions under a multi-objective optimization framework to realize intelligent power smoothing; the control layer also has a multi-priority arbitration function, which can seamlessly switch between smoothing, frequency modulation and other modes; the execution layer realizes millisecond-level instruction tracking. The present application realizes full-chain optimization from planning to execution and adaptive collaboration of multiple control objectives, significantly improving the voltage stability, operation economy and grid support capability of high-proportion photovoltaic districts.
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