A combined heat and power generation system day-ahead scheduling method based on heat supply network partial differential equation constraint

Abstract

The invention discloses a combined heat and power generation system day-ahead scheduling method based on heat supply network partial differential equation constraint. The technical scheme comprises: establishing a partial differential equation model capable of reflecting the transient heat transfer characteristic of a heat supply network based on the first law of thermodynamics; Secondly, carryingout difference processing on the heat supply network partial differential equation, taking an algebraic equation set obtained by difference as a partial constraint condition, and taking the minimum daily operation cost as an objective function to establish a day-ahead optimization scheduling model of the combined heat and power generation system; And finally, according to the heat supply networkpartial differential equation constraint-based combined heat and power generation system day-ahead scheduling model, determining a scheduling plan of each device in the system, a planned power of a connection line and an operation state of the heat supply network. The optimal scheduling method provided by the invention can reflect the real operation state of the heat supply network and improve theoperation economy of the combined heat and power generation system.

Description

technical field [0001] The invention belongs to the technical field of energy system operation optimization, and relates to a day-ahead scheduling method of a combined heat and power system based on partial differential equation constraints of a heat network. Background technique [0002] The combined heat and power system is a manifestation of the comprehensive energy system. With the combined heat and power unit as the core, the joint supply of electric energy and heat energy is realized by recycling the waste heat after power generation. The combined heat and power system is based on the comprehensive cascade utilization of heat energy, and the primary energy utilization rate can exceed 60%, which is much higher than that of coal-fired power plants. At present, cogeneration units in some Nordic countries have accounted for more than 60% of the total number of thermal power units; 80% of industrial heating and 30% of residential heating in China also come from cogeneration...

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Problems solved by technology

The centralized heating radius of my country's urban heating network can reach tens of kilometers, the heating scale is large, the transmission distance is long, the heat transfer characteristics are complex, and it is difficult to fine-tune scheduling

At present, there have been many literatures on the transmission delay and heat transfer characteristics of district heating networks, but most of them use numerical simulation or experimental testing methods, and the models are complex and difficult to apply to the optimal scheduling of the system; some studies on the optimal scheduling of combined heat and power systems The heat network model used is too simplified, it is difficult to reflect the transient heat transfer characteristics of the heat network, the optimization results are far from the actual operating state, and lack of practicability

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