Comprehensive energy-conservation optimal operation daily plan generation method

Abstract

The invention relates to a comprehensive energy-conservation optimal operation daily plan generation method comprising the following steps of: obtaining unit coal consumption (for power supply) information through an online coal consumption monitoring system, obtaining desulfurization efficiency information through an online fume emission monitoring system, obtaining heating supply load information through an online thermoelectric unit monitoring system, and obtaining comprehensive resource utilization information through an online comprehensive resource utilization monitoring system; combining the coal consumption (for power supply) information, the desulfurization efficiency information, the heating supply load information and the comprehensive resource utilization information with power transmission network loss information to construct a comprehensive energy-conservation and emission-reduction mathematical model; and using a multi-target linear programming algorithm for optimization solution to obtain a morrow plan in an automatic generation way. According to the method, different processing methods are utilized for the factors of the coal consumption (for the power supply), desulfurization efficiency, heating supply load, comprehensive resource utilization, power network loss and the like, the coal consumption (for the power supply), desulfurization efficiency and power network loss are considered in a target function, and the heating supply load and comprehensive resource utilization are considered in constraint conditions; and therefore, the automatic generation of energy-conservation operation daily plane is realized.

Description

technical field [0001] The invention relates to the field of power grid energy saving, in particular to a method for generating a comprehensive energy-saving optimal scheduling daily plan. Background technique [0002] At present, the daily planning of the domestic energy-saving power generation dispatching technical support system usually only considers the unit power supply coal consumption and system network loss, that is, under the condition of predicting tomorrow's load level, the goal is to minimize the coal consumption and total network loss of all units in the province tomorrow function, through the optimization algorithm to obtain tomorrow's optimal arrangement day plan for generating units. According to the requirements of a series of documents such as the "Energy-saving Power Generation Dispatching Measures (Trial)" formulated by the National Development and Reform Commission, the State Environmental Protection Administration, the Electricity Regulatory Commission...

AI Technical Summary

Problems solved by technology

According to the requirements of a series of documents such as the "Energy-saving Power Generation Dispatching Measures (Trial)" formulated by the National Development and Reform Commission, the State Environmental Protection Administration, the Electricity Regulatory Commission, and the Energy Bureau, it is also necessary to consider the flue gas emissions (desulfurization efficiency) Comprehensive utilization and other characteristics, but the current domestic energy-saving power generation dispatching technical support system's daily plan generation mathematical model does not take these factors into account

Images