A substation capacity optimization method based on multi-energy coordinated energy supply

Abstract

The invention relates to a transformer substation capacity optimization method based on multi-energy collaborative supply, and belongs to the field of energy internet and power distribution network planning. The method comprises the steps that an operation economy model is established according to energy utilization efficiency of a thermoelectric co-generation machine set in a tri-generation machine set and a cold and thermal conversion ratio COP value of a lithium bromide machine set based on the historical data of a transformer substation; capacity of phase change energy storage equipment is determined by the supply and demand relation balance of a typical day, and an operation cost function of the phase change energy storage equipment is determined according to energy storage efficiency; start and stop time arrangement of the tri-generation machine set with optimal economy is solved through a multi-target optimization method performing on the operation economy model and the operation cost function; multi-target optimization is performed on the annual electricity load characteristics by utilizing distributed photovoltaic component power generation; and the optimized capacity of the transformer substation is obtained under the principle of "N-1" and the standard capacity-load ratio requirement according to the optimized load side characteristics. The electricity utilization peak in the summer can be reduced and power supply pressure of an electrical network can be reduced.

Description

technical field [0001] The invention belongs to the field of energy Internet and distribution network planning, and in particular relates to a substation capacity optimization method based on multi-energy collaborative energy supply. Background technique [0002] The energy Internet is one of the important development directions of the future energy supply system. The interconnected energy supply chain can greatly improve the safety and reliability, and at the same time, it is conducive to the optimal allocation of resources according to energy characteristics. Under the energy interconnection system, a series of problems in the current energy supply network can be effectively solved. [0003] Due to the seasonally changing electricity load characteristics determined by the user's electricity consumption habits, there will be peak electricity consumption in summer, and its peak value is much higher than that in winter and transitional seasons. Therefore, its actual capacity...

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Problems solved by technology

[0003] Due to the seasonally changing electricity load characteristics determined by the user's electricity consumption habits, there will be peak electricity consumption in summer, and its peak value is much higher than that in winter and transitional seasons. Therefore, its actual capacity will have a large redundancy in most of the year, and the actual utilization rate of the equipment is not high, resulting in waste of resources

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