Multi-objective optimization method of combined cold heat and power supply system

Abstract

The invention discloses a multi-objective optimization method of a combined cold heat and power supply system; for a coupling system of three kinds of energy of a cold load, a heat cold and an electric load, a system model and equipment operation constraints, load balance and other constraints are established; the economical efficiency, the environmental protection property and the energy utilization rate of the combined cold heat and power supply system are comprehensively considered, an optimization algorithm combining the chaotic search based on Tent mapping and a nonlinear self-adaptive particle swarm optimization is provided, and the algorithm has high performance in terms of convergence speed and convergence precision; the non-linear decreasing adaptive weight enables the algorithm to have relatively strong global searching capability at the initial stage, and the later local searching capability is stronger. The chaotic search based on the Tent mapping has ergodic performance, the chaotic sequence generated by chaotic search is more uniform compared with the existing mapping, and higher searching efficiency is achieved; and in the optimal solution of the combined cold heat and power supply system, a situation that the solving result is caught in the local optimal solution too early and the optimal solution cannot be output can be avoided.

Description

technical field [0001] The invention belongs to the field of optimization of combined cooling, heating and power systems, and in particular relates to a multi-objective optimization method for combined cooling, heating and power systems. Background technique [0002] As energy issues are getting more and more attention, in addition to economic performance, energy saving and environmental protection have become new important indicators for considering energy systems. Cogeneration of cooling, heating and power belongs to the category of multi-energy systems and is the main development direction and form of multi-energy sources. It is a comprehensive energy supply and consumption system based on energy cascade utilization, and is scattered on the user load side. Utilize primary energy to drive power equipment such as gas turbines and internal combustion engines to supply power, and then use waste heat utilization technology, waste heat-driven refrigeration technology such as ab...

AI Technical Summary

Problems solved by technology

However, in the actual application process, the typical intelligent algorithm has slow convergence speed, poor precision, and is easy to fall into the local optimal solution, which leads to the problem of algorithm stagnation. In the process of optimizing the combined cooling, heating and power system, the optimal solution cannot be found. , leading to system economic cost, environmental benefit and energy utilization rate not reaching the optimal effect

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