A control optimization method and device for a source-grid-load-storage system

Abstract

The invention discloses a control optimization method and device for a source-network-load-storage system, which obtains the weather state and the first temperature of the day to be controlled and optimized, and predicts the power consumption of the day to be controlled and optimized in combination with the weather state, the first temperature and historical power load. Electric load; obtain the date, light intensity and second temperature of the day to be controlled and optimized, and predict the photovoltaic power generation amount of the day to be controlled and optimized according to the date, light intensity and second temperature; according to the power load and photovoltaic power generation of the day to be controlled and optimized and the predicted waste heat power generation of the waste heat storage power generation system, calculate the non-consumption compensation time period of the day to be controlled and optimized; in the non-consumption compensation time period, the operating cost of the source network load storage system is minimized. The objective function is solved to obtain the waste heat power generation, the charge and discharge state of the energy storage battery, and the power consumption of flexible loads in the non-consumption compensation period; the invention can optimize the scheduling problem of the power system, improve economic benefits, and avoid energy waste.

Description

technical field [0001] The invention belongs to the technical field of optimization methods for electric energy storage systems, and in particular relates to a control optimization method and device for a source-network-load-storage system. Background technique [0002] The source-grid-load-storage system is a special form of electric energy storage system. The coordinated utilization of system resources is an important means to promote the efficient operation of the regional electric-thermal integrated energy system. With the development of technologies such as renewable energy power generation, direct current transmission, and electric energy storage, flexible loads such as new energy power generation, electric vehicles, and energy storage devices that can be charged and discharged are continuously integrated into the power grid, which has greatly changed the structure of the traditional distribution network. . Due to the large instability of the new source grid load stor...

AI Technical Summary

Problems solved by technology

Due to the large instability of the new source grid load storage, it brings great challenges to the distribution network dispatching, especially the extra power loss that is difficult to control dispatching

[0003] At present, there are few related researches on the optimal dispatching of distribution network, especially the optimal dispatching method of distribution network containing renewable energy generation needs further research

At the same time, due to the variable operating conditions and complex system structure, common control methods usually have various problems, such as energy waste due to insufficient utilization of power generation, etc.

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