Urban energy system supply and demand optimization method based on linear dynamic programming algorithm

Abstract

The invention discloses an urban energy system supply and demand optimization method based on a linear dynamic programming algorithm. The method is based on the present situation of energy supply and demand in cities. First, an energy supply and demand optimization model is established, and the total cost of the urban energy system is minimized on the premise of meeting the energy demand, resource conditions, environmental constraints and all kinds of energy programming requirements; and second, the optimization model is solved based on the linear dynamic programming algorithm. Thus, a guidance basis is provided for relevant workers to formulate an urban energy plan, the energy structure is better improved and optimized, and reasonable and effective utilization and sustainable development of energy are promoted.

Description

technical field [0001] The invention belongs to the technical field of energy planning, in particular to a method for optimizing supply and demand of urban energy systems based on linear dynamic programming algorithms. Background technique [0002] In recent years, with the rapid development of urban social economy and the improvement of people's living standards, urban energy consumption has continued to grow, and the contradiction between energy supply and demand has become increasingly tense; at the same time, the energy structure dominated by coal has led to the discharge of a large amount of pollutants, causing urban cause serious environmental pollution problems. my country's urban energy management is facing the dual pressure of economic development and environmental protection, as well as the constraints of resource capacity and energy policies. It is urgent to establish a reasonable and effective energy planning optimization method to help determine the energy syste...

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Problems solved by technology

[0004] In the existing research literature, on the one hand, some scholars have introduced typical energy models of foreign energy planning and energy policy analysis, such as MARKAL, MESSAGE models, etc. Under hypothetical conditions, its parameter setting and scenario assumptions do not conform to the characteristics of my country's urban energy activities, and cannot accurately reflect the actual situation of my country's urban energy system; on the other hand, some scholars have established an urban energy planning optimization model that considers environmental constraints, seeking in The supply and demand pattern that minimizes the total energy cost of the system under the requirements of energy demand and environmental constraints, but the constraints considered by these models have certain limitations, and there is also a lack of consideration of constraints such as urban power planning, especially the proportion of external electricity.

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