Online optimization method of grid-connected operation of distributed cool-heat-electricity cogeneration system

Abstract

The invention discloses an online optimization method of grid-connected operation of a distributed cool-heat-electricity cogeneration system. The method comprises the following steps that an operation strategy library is set up; a system operation constraint model and a rolling optimization target model are set up according to operation strategies; optimizing process of linear matrix is conducted on the obtained models; an optimization algorithm library comprising a traditional optimization algorithm, an intelligent algorithm and a mixed algorithm is set up to conduct the optimal solution on the optimized models. Being supported by the basic operation strategy library and the optimization algorithm library, the online optimization method of the grid-connected operation of the distributed cool-heat-electricity cogeneration system takes generality and difference of the system operation constraint model under different operation strategies into consideration, and describes and optimizes the different operation strategies in a same linear matrix mode, so that not only are the reusability and expansibility of the system operation constraint model improved, but also online optimization and control implementation of the distributed cool-heat-electricity cogeneration system under the appointed strategies are facilitated, and possibility is provided for the online optimization and switching among the multiple operation strategies.

Description

technical field [0001] The invention relates to the technical field of distributed energy system economic operation and energy saving and emission reduction, in particular to an optimization method for grid-connected operation of a distributed combined cooling, heating and power supply system. Background technique [0002] The operation optimization problem of distributed combined cooling, heating and power system is a hot issue in the field of distributed energy system economic operation and energy saving and emission reduction technology. There are many types of distributed cooling, heating and power system equipment, and there are many factors that affect the operation of the system. In addition to the system's own operating characteristics and external parameters (such as environment, load demand, purchase and sale electricity prices, etc.), it also includes various artificial settings. Operational constraints (such as operating load limit) and logic rules (such as deter...

AI Technical Summary

Problems solved by technology

[0003] The existing online optimization technology for distributed cooling, heating and power systems mainly has the following two problems. First, it does not consider the commonality and differences between the models corresponding to different operation strategies, resulting in repeated modeling and inconsistent model forms. It is not conducive to the online design of each operation strategy and the realization of the optimal function; second, in the modeling process, the characteristics of the model that are easy to solve and easy to control design are not paid enough attention to, and the optimal solution often ignores the relationship between the optimization algorithm and the model characteristics. Matching, resulting in unsatisfactory online optimization speed and optimal solution quality, the actual application effect is limited

Images