Regional integrated energy multi-objective optimization method based on source-load prediction

Abstract

The invention discloses a regional integrated energy multi-objective optimization method based on source-load prediction. Comprising the steps of predicting photovoltaic and wind power generation, power utilization load, heat consumption load and cold consumption load in unit optimization time through photovoltaic and wind power generation operation characteristics in an area and factors such as weather; setting a safety threshold value of the difference between the prediction data and the actual sampling data by considering the system voltage supply and demand balance limitation; taking the lowest carbon emission and the lowest energy supply cost as a multi-objective optimization function, substituting predicted values of photoelectric power output, wind power output, electrical load, heat consumption load and cold consumption load into the optimization function for solving to obtain a power output reference of an energy supply unit in unit optimization time, and meanwhile, judging whether the difference between an actual sampling value and the predicted value exceeds a safety threshold value by a system; and the predicted value is adjusted on the basis. According to the method, the response speed is increased, overshoot in the control process is reduced, the carbon emission and the operation cost are effectively reduced, and imbalance of supply and demand voltages caused by inaccurate prediction is avoided.

Description

technical field [0001] The invention relates to the field of energy optimization, in particular to a multi-objective optimization method for regional comprehensive energy based on source-load prediction. Background technique [0002] In recent years, environmental issues such as carbon emissions have received more and more attention in many fields. Electric energy is used in all fields of life, industry, and transportation. Low-carbon and environmentally friendly energy supply is one of the key tasks of carbon peaking and carbon neutrality. [0003] As an important form of the new-generation power energy system, the integrated energy system combines wind energy, solar energy, and thermal energy on the basis of traditional electric energy supply, and can carry out intelligent programming and collaborative control. Cross-network consumption and other aspects have been effectively applied, and it has also attracted more and more attention in the low-carbon field. [0004] At ...

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Problems solved by technology

[0007] The present invention mainly solves the problem of optimizing a single target in the prior art; it provides a multi-objective optimization method for regional comprehensive energy based on source-load prediction, based on the data of source-load prediction, combined with multi-objective factors of carbon emissions and economic benefits. optimization while making appropriate adjustments based on real-time sampled data

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