Method for Power Generation and Consumption Dispatching

ChangeBridge: Patent Apps - Power Supply (H02J)

Published March 26th, 2026

Detected March 26th, 2026

Summary

The USPTO has published a patent application detailing a method for dispatching power generation and consumption in hydro-wind-photovoltaic systems. The method utilizes a support vector machine regression algorithm and meteorological downscaling to improve the accuracy of energy generation profiles and prevent overestimation of energy consumption.

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What changed

This document describes a newly published patent application (US20260088629A1) from the USPTO concerning a method for dispatching power generation and consumption in integrated hydro-wind-photovoltaic systems. The invention employs meteorological downscaling and a support vector machine regression algorithm to enhance the accuracy of wind and photovoltaic power generation profiles by linking them to hydropower consumption through sequential peak-shaving operation modes. This approach aims to mitigate overestimation of energy consumption by accounting for climate variability and short-term generation characteristics.

While this is a patent application and not a regulatory rule, it may inform future industry standards or technological developments in renewable energy grid management. Companies involved in developing or implementing smart grid technologies, renewable energy integration, or power system optimization may find the described methodology of interest for potential adoption or as a basis for further innovation. No immediate compliance actions are required for regulated entities.

Source document (simplified)

← USPTO Patent Applications

DISPATCHING METHOD FOR POWER GENERATION AND CONSUMPTION OF HYDRO-WIND-PHOTOVOLTAIC SYSTEMS WITH METEOROLOGICAL DOWNSCALING

Application US20260088629A1 Kind: A1 Mar 26, 2026

Inventors

Jianjian SHEN, Yushu WU, Xihai GUO, Linsong GE, Chuntian CHENG

Abstract

The present invention belongs to the field of multi-energy complementary and coordinated operations, and discloses a dispatching method for power generation and consumption of hydro-wind-photovoltaic systems with meteorological downscaling. The support vector machine regression algorithm was adopted to identify different hydro-meteorological variable data, achieving high-resolution spatial downscaling through statistical modeling between observational data and meteorological variables. Wind and photovoltaic power generation profiles were derived using established empirical power curve models. Sequential peak-shaving operation modes were introduced to formulate the linkage equation between peak shaving and the consumption of hydropower, wind power, and photovoltaic power, thereby preventing the overestimation of energy consumption that typically arises from neglecting climate variability and short-term generation characteristics. Case studies were conducted using cascaded hydropower plants on Lancang River and wind and photovoltaic power stations located in the river's surrounding areas in Yunnan. The results show that the present invention can significantly reduce hydro-meteorological downscaling errors.