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Electric-heating network coordinated operation optimization method based on multi-searcher algorithm

A technology of operation optimization and multi-search, which is applied in the fields of instruments, computing, and data processing applications, can solve problems such as long computing and searching time, and premature convergence, and achieve fast convergence speed, strong global convergence, and reasonable heating plan Effect

Pending Publication Date: 2019-04-19
SOUTH CHINA UNIV OF TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] When solving large-scale system optimization and control problems similar to power systems, there are two main difficulties: ①The calculation and search time is too long; ②Premature convergence problem

Method used

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  • Electric-heating network coordinated operation optimization method based on multi-searcher algorithm
  • Electric-heating network coordinated operation optimization method based on multi-searcher algorithm
  • Electric-heating network coordinated operation optimization method based on multi-searcher algorithm

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Embodiment

[0039] like figure 1 As shown in Fig. 1, an optimization method for the coordinated operation of electricity-heating network based on multi-searcher algorithm, this method takes the energy management system of electricity-heating network in the region as the research object, and the weight coefficient of each unit is used in the example Both are set to 1. The electricity-heating network coordinated operation optimization method based on the multi-searcher optimization algorithm includes the following steps:

[0040] S110 input system parameters and unit parameters, including the consumption characteristic equations of all conventional generating units in the region as shown in Table 1, the consumption characteristic equations of cogeneration units in Table 2, and the consumption characteristic equations of thermal units in Table 3.

[0041] Table 1 Consumption characteristic equation of conventional generator set

[0042]

[0043] Table 2 Consumption characteristic equ...

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Abstract

The invention discloses an electricity-searcher algorithm based on multiple searchers. The heat supply network coordinated operation optimization method comprises the steps that regional electricity-is established; And the heat supply network coordinately operates the mathematical model, and a multi-searcher optimization algorithm is used for managing the thermoelectric energy system in the region, so that the goal of minimum power generation cost of the whole region system is achieved. The multi-searcher optimization algorithm is designed based on the advantages and disadvantages of all heuristic algorithms, and has the advantages of being higher in convergence speed, higher in global convergence and the like compared with a classical moth fire fighting algorithm, a teaching and learningoptimization algorithm and the like.

Description

technical field [0001] The invention relates to the field of regional thermoelectric energy, in particular to a multi-searcher algorithm-based coordinated operation optimization method for electricity-heating networks. Background technique [0002] The power system and the thermal system are naturally complementary, and the unified scheduling of the two can improve the ability to optimize the allocation of resources and the efficiency of energy utilization in a wider range of time and space. In the northern area of ​​my country's central heating, 50%-70% of the existing conventional units are cogeneration units. The power structure dominated by a high proportion of CHP units has brought great challenges to power system dispatching and control. [0003] In order to realize the comprehensive utilization of conventional generating units, heating units and combined heat and power units, the Heat and Power Economic Dispatch (CHPED) is optimized to achieve the optimal power gener...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50Y02E40/70
Inventor 余涛唐建林
Owner SOUTH CHINA UNIV OF TECH
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