Multi-objective optimization method and device for combined cooling heating and power system and terminal

Abstract

The invention is applicable to the technical field of power systems, and particularly relates to a multi-objective optimization method and device for a combined cooling heating and power system and a terminal. The method comprises the steps: constructing a multi-objective optimization function and constraint conditions thereof; based on constraint conditions and an improved seagull algorithm, performing iterative calculation on the multi-objective optimization function to obtain a plurality of non-dominated solutions; in each iteration process, employing the improved seagull algorithm for calculating target function values corresponding to different seagull individuals, selecting and storing non-dominated solutions from solutions corresponding to the seagull individuals according to the target function values, and updating the positions of the seagull individuals according to the non-dominated solution with the lowest congestion degree in the stored non-dominated solutions; and selecting an optimal solution from the plurality of non-dominated solutions based on a superior and inferior solution distance method to optimize the target combined cooling heating and power supply system. According to the method, the combined cooling heating and power supply system can be optimized and solved, and the comprehensive performance of the system is improved.

Description

technical field [0001] The invention belongs to the technical field of electric power systems, and in particular relates to a multi-objective optimization method, device and terminal for a combined cooling, heating and power supply system. Background technique [0002] With the rapid growth of the world economy, the energy consumption of countries around the world is increasing. In order to find a clean and efficient energy supply method, the combined cooling, heating and power supply, which uses the waste heat generated during the power generation process of the generator to provide cooling and heating for the system The system is gradually gaining attention. [0003] As a multi-generation energy supply system, the combined cooling, heating and power system has a flexible and diverse structure, and the selection of equipment type and capacity has a great impact on the overall performance of the system. At present, in the design scheme of the combined cooling, heating and p...

AI Technical Summary

Problems solved by technology

At present, the design scheme of the combined cooling, heating and power system still mostly sets the capacity of each equipment according to the peak load, which makes the capacity of the completed combined cooling, heating and power system equipment unable to be fully utilized, increasing investment costs, and poor economy. Operational optimization of combined cooling, heating and power systems is required

[0004] However, the inventors of this application found that with the development of distributed power generation technology, wind power, photovoltaic and other equipment are gradually being introduced into the CCHP system, making the system structure more complicated

Moreover, in order to suppress the impact of output fluctuations of renewable energy power generation devices on the system, energy storage equipment is usually introduced into the system, which further increases the difficulty of the optimization solution

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