Multi-objective optimization scheduling method and device for combined heat and power system

Abstract

The invention discloses a multi-objective optimization scheduling method and device for a combined heat and power supply system, and the method comprises the steps: responding to the obtaining of theoperation historical data of the combined heat and power supply system, and calculating the power prediction value of an electric load and the power prediction value of a cooling / heating load needed by the combined heat and power supply system under all operation conditions; based on the power prediction value of the electrical load and the power prediction value of the cold / heat load, establishing a multi-objective optimization scheduling model taking the operation cost and the primary energy consumption as objectives; and based on the multi-objective optimization scheduling model, adopting an improved multi-objective particle swarm algorithm to carry out optimal solution on the combined heat and power system under each operation condition. Start, stop and output of each controllable unitare coordinately controlled under different working conditions, so that the energy utilization requirements of cold / heat and electric loads of a farm can be met, the economical efficiency of system operation can be ensured under the conditions of electricity price and operation cost of each device, the peak electricity utilization pressure of a power grid is relieved, and the utilization of existing energy sources is maximized.

Description

technical field [0001] The invention belongs to the technical field of comprehensive energy optimization scheduling, and in particular relates to a multi-objective optimal scheduling method and device for a cogeneration system. Background technique [0002] In recent years, my country's animal husbandry production has developed rapidly, the scale of breeding has continued to expand, and the production of livestock and poultry manure, sewage, stench and other breeding waste has also increased rapidly. In addition, the layout of breeding is not reasonable enough, the coverage of ecological breeding and the deepening treatment capacity of waste gas are insufficient Due to these reasons, the pressure on the environment has increased sharply, and the problem of pollution from livestock and poultry breeding has become increasingly prominent. With the advancement of large-scale centralized breeding, large and medium-sized farms have realized the factory farming model, and their depe...

AI Technical Summary

Problems solved by technology

However, due to the different weather conditions in each season, and the operating cost when the unit output interacts with the grid, it is difficult to reasonably schedule the entire system.

Images