Optical storage layered collaborative optimization control method coupling photovoltaic priority absorption and time-of-use electricity price

By employing a tiered, collaborative optimization control method for photovoltaic and energy storage systems, the problems of low photovoltaic power absorption rate and deep charging and discharging of energy storage systems have been solved. This method enables dynamic response to priority photovoltaic power absorption and time-of-use pricing, thereby improving the system's economic efficiency and equipment lifespan.

CN120914916AActive Publication Date: 2025-11-07NANJING XINGHE ENERGY TECH CO LTD
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Patent Information

Application Number
CN202511429577.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-09
Publication Date
2025-11-07
Estimated Expiration
2045-10-09

AI Technical Summary

Technical Problem

Existing photovoltaic-storage systems suffer from low absorption rates, frequent deep charging and discharging of energy storage systems, poor economic efficiency, and shortened equipment lifespan when absorbing photovoltaic power. Furthermore, existing model predictive control technologies struggle to achieve coordinated optimization of photovoltaic priority absorption, energy storage charging and discharging, and time-of-use pricing.

Method used

A tiered collaborative optimization control method for photovoltaic and energy storage is adopted, which couples photovoltaic priority consumption and time-of-use pricing. A photovoltaic and energy storage plan is generated through a model predictive control framework. Combined with a decision tree control mechanism, the energy storage charging and discharging and photovoltaic output are optimized. By utilizing energy storage efficiency compensation and curtailment penalty mechanisms, dynamic response of photovoltaic priority consumption and time-of-use pricing is achieved.

Benefits of technology

It improved the photovoltaic absorption rate, reduced the amount of curtailed solar power, enhanced the system's energy self-sufficiency, extended the lifespan of the energy storage system, and reduced the overall electricity cost and operation and maintenance complexity.

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Abstract

The invention discloses an optical storage layered collaborative optimization control method coupling photovoltaic priority absorption and time-of-use electricity price, and relates to the technical field of new energy power system optimization control. The method comprises the following steps: taking a photovoltaic generating capacity prediction value, a load electricity consumption prediction value and peak and valley electricity price information as input data; carrying out rolling optimization by utilizing a model prediction control framework, and generating a light storage plan table; and calculating a photovoltaic output regulation value and energy storage charging and discharging power based on the generated light storage plan table in combination with the photovoltaic power generation power and the load power consumption power which are acquired in real time, executing corresponding energy storage charging and discharging and photovoltaic output processing by applying a decision tree control mechanism, and optimizing light storage control according to a processing result. According to the method, the photovoltaic preferential consumption strategy is executed, the light abandoning amount is reduced, the photovoltaic consumption rate is improved, the time-of-use electricity price dynamic response mechanism and the energy storage efficiency compensation and light abandoning punishment mechanism are combined, peak-valley arbitrage is maximized, meanwhile, the comprehensive electricity utilization cost is reduced, and the power purchase demand of a power grid is reduced.
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