A collaborative optimization control system for a gas-fired internal combustion generator set

Abstract

The invention provides a collaborative optimization control system for a gas-fired internal combustion generator set. The collaborative optimization control system comprises a controller, a database,an information acquisition module, a sensing metering module and a gas-fired generator; the database internally stores a plurality of control parameter standard values and a priority selection programbased on the gas-fired internal combustion generator set, the sensing metering module is used for obtaining each real-time control parameter value, the sensor metering module sends the obtained control parameter values to the information acquisition module, and the information acquisition module compares data from the sensing metering module with control parameter standard values in the database,and sends a comparison result to the controller; and the controller adjusts each controlled element of a gas-fired generator in real time according to the correlation between the gas-fired internal combustion generator set control parameter standard values obtained from the database and the information acquisition module and actual measured values.

Description

technical field [0001] The invention relates to the technical field of gas-fired power generation, in particular to a collaborative optimization control system of a gas-fired internal combustion generator set. Background technique [0002] Energy shortage, environmental pollution and climate change are important factors restricting the sustainable development of the world economy and society. Energy and environmental issues have become major strategic issues of great concern both at home and abroad. The gas internal combustion generator set is a new energy comprehensive utilization system integrating environmental protection and energy saving. It uses a large amount of gas produced by anaerobic fermentation of a large amount of organic waste in industry, agriculture or urban life. The gas is burned in the combustion chamber of the internal combustion engine. Thermal energy drives the internal combustion generator set to generate electricity, and can make full use of the wast...

AI Technical Summary

Problems solved by technology

[0003] However, the gas methane concentration produced by different organic waste raw materials and different fermentation temperatures has large differences and fluctuations, and it is difficult to establish a dynamic mathematical model that accurately describes the operating characteristics of gas-fired internal combustion generator sets under different gas components and multiple working conditions. Insight into its complex operation rules makes it difficult for gas internal combustion generators to operate in the high-efficiency zone. Therefore, it is quite challenging to achieve optimal control of gas internal combustion generators

At the same time, most of the existing gas internal combustion generator sets are refitted on the basis of natural gas internal combustion generator sets. Technical problems such as large voltage output fluctuations, slow tracking load response ability, and low power generation efficiency of each gas generator

The problem in the existing technology is that the air-fuel ratio control system and the speed control system in the current gas generators are controlled by independent controllers, and there is no cooperative optimization mechanism between the two, and there is no coordinated optimization control of gas power generation as a whole. The efficient operation of the engine, thereby improving the voltage output stability and power generation efficiency of the gas internal combustion generator set

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