A joint optimization method for energy system and pipeline network layout

Abstract

The present invention relates to a joint optimization method of energy system and pipe network layout, comprising the following steps: S1: establishing the cooling, heating and electric load models of the characteristic day in the target area; S2: according to the load result data obtained from the load model, the Integrate the energy supply and demand chains of each node in the target area to establish a pipeline network model; S3: According to the load model and pipeline network model, select power generation technology equipment, auxiliary function technology equipment and energy storage technology equipment to build a distributed integrated energy system. The production and transmission system, and mathematical modeling of all the technical equipment in it; S4: According to the impact factors, construct the optimization calculation space of the system model; S5: According to the evaluation indicators in the target area, use the entropy weight method Multi-objective function weighting is transformed into a single objective function. The invention provides an optimization method capable of joint design and decision-making for technology selection, capacity configuration, equipment site selection, real-time scheduling, pipe network design and system energy flow.

Description

technical field [0001] The invention relates to the field of distributed joint supply and pipe network layout system engineering, in particular to a method for joint optimization of an energy system and pipe network layout. Background technique [0002] Energy crisis and environmental issues have increasingly become issues that cannot be ignored in economic development and social progress. The long-distance transmission energy supply mode of the traditional large-scale centralized energy system ignores the matching between supply and demand loads, which is not conducive to the improvement of energy efficiency, economy and environmental friendliness. In order to solve these problems, it is urgent to develop more efficient, economical and environmentally friendly energy supply systems. Combined cooling heating and power (CCHP), as an advanced cascade integrated energy system, combines the advantages of high efficiency, economy and environmental protection, and it is also a be...

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Problems solved by technology

[0006] In the selection of optimization methods, direct or indirect optimization methods such as random test method, interior point penalty function method, exterior point penalty function method and sequential quadratic programming method, as well as local search, simulated annealing, genetic algorithm and artificial neural network optimization algorithm Traditional intelligent optimization methods such as simulating and abstracting to obtain a mathematical model that conforms to certain laws can solve complex engineering practices within a certain range, but the nature of its random search determines the defect of slow calculation, which conflicts with the timeliness requirements of planning

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