A low-carbon optimal dispatching method, system and device of a power system and a storage medium

By adopting a two-way carbon responsibility sharing mechanism between power sources and loads, the problem of underestimated emission reduction contributions from the load side and carbon penalties for deep peak-shaving units in the existing power system has been solved. This mechanism enables load-side incentives and coordinated emission reduction between power sources and loads, thereby improving the capacity for renewable energy absorption and the overall low-carbon optimization effect of the system.

CN122246892APending Publication Date: 2026-06-19WENZHOU ELECTRIC POWER BUREAU +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WENZHOU ELECTRIC POWER BUREAU
Filing Date
2026-05-19
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing low-carbon optimization dispatching technologies for power systems cannot effectively capture the load time shift characteristics caused by demand response, leading to an underestimation of the load-side emission reduction contribution and weakening the incentive effect for users to participate in demand response. Directly using the carbon emission intensity of generating units under deep peak shaving conditions as the rating basis results in increased carbon emissions from generating units during deep peak shaving, dampening the enthusiasm of generating units. In source-load coordinated control, the source side and the load side are disconnected, making real-time coordinated response impossible and the problem of renewable energy curtailment difficult to solve.

Method used

By adopting a two-way carbon responsibility sharing mechanism between source and load, and by taking into account the load-side following characteristics and the source-side peak-shaving depth contribution, the emission reduction contribution of the load-side time shift is accurately assessed, the carbon penalty of the source-side deep peak-shaving is eliminated, and the carbon responsibility of thermal power units and load nodes is accurately shared, thereby improving the source-load coordinated emission reduction effect and the capacity for new energy consumption.

Benefits of technology

It enables accurate identification and assessment of demand response, incentivizes units to proactively and deeply regulate peak loads, improves the absorption rate of renewable energy, and reduces the overall carbon emissions and operating costs of the system.

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Abstract

This invention relates to the field of power system dispatching technology, and provides a method, system, equipment, and storage medium for low-carbon optimized dispatching of power systems. The method includes acquiring day-ahead system forecast data, deep peak-shaving interval parameters, and basic system operating parameters for the target dispatching period. Based on the day-ahead system forecast data, deep peak-shaving interval parameters, and basic system operating parameters, a multi-objective low-carbon optimized dispatching model is solved, with the optimization objectives of minimizing source-side low-carbon dispatching costs, minimizing load-side low-carbon dispatching costs, minimizing total system carbon emissions, and minimizing renewable energy curtailment rate. This model is based on a two-way carbon responsibility sharing mechanism that considers load-side following characteristics and the contribution of source-side peak-shaving depth to thermal power units and load nodes to share carbon emission responsibilities. The resulting solution yields the target dispatching strategy. This invention can accurately assess load-side emission reduction contributions, eliminate the carbon penalty effect of deep unit dispatching, improve renewable energy absorption capacity, and reduce overall system carbon emissions and operating costs.
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