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An optimization method and system for equipment capacity allocation of park comprehensive energy system

A technology of integrated energy system and equipment capacity, which is applied to the optimization method and system field of the equipment capacity configuration of the comprehensive energy system in the park, can solve the problems of high energy consumption cost and lack of coordinated configuration, and achieves reduction of the park energy consumption cost and global search capability. Strong, fast convergence effect

Active Publication Date: 2022-04-15
GLOBAL ENERGY INTERCONNECTION RES INST CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Therefore, the technical problem to be solved by the present invention is to overcome the lack of coordinated allocation of equipment capacity allocation in the integrated energy system in the prior art, resulting in high energy cost, thereby providing an optimization of the equipment capacity allocation of the park integrated energy system method and system

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  • An optimization method and system for equipment capacity allocation of park comprehensive energy system
  • An optimization method and system for equipment capacity allocation of park comprehensive energy system
  • An optimization method and system for equipment capacity allocation of park comprehensive energy system

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Embodiment 1

[0038] This embodiment provides a method for optimizing the capacity allocation of integrated energy system equipment in parks, which can be applied to the capacity allocation of integrated energy system equipment in industrial parks and residential areas, such as figure 1 As shown, the optimization method includes the following steps:

[0039] Step S1: Obtain the comprehensive energy cost of the park's comprehensive energy system.

[0040]In the embodiment of the present invention, according to elements such as the structure of the comprehensive energy system in the park, load demand, and energy form, the comprehensive energy system includes three forms of energy: electricity, heat and cold. Therefore, the embodiment of the present invention mainly considers the cost of electric energy, cost of heat energy and Cooling energy cost, the weighted addition of the three energy costs to obtain the comprehensive energy cost, the expression of the comprehensive energy cost of the par...

Embodiment 2

[0118] The embodiment of the present invention provides an optimization system for equipment capacity configuration of the comprehensive energy system in the park, such as Figure 9 shown, including:

[0119] The comprehensive energy cost acquisition module 1 is used to obtain the comprehensive energy cost of the comprehensive energy system of the park; this module executes the method described in step S1 in Embodiment 1, which will not be repeated here.

[0120] The objective function building module 2 is used to take the minimum comprehensive energy cost as the objective function; this module executes the method described in step S2 in Embodiment 1, which will not be repeated here.

[0121] The optimization constraint acquisition module 3 is used to acquire the preset optimization constraint conditions of the objective function; this module executes the method described in step S3 in Embodiment 1, which will not be repeated here.

[0122] The optimal capacity acquisition mo...

Embodiment 3

[0125] An embodiment of the present invention provides a computer device, such as Figure 10As shown, it includes: at least one processor 401 , such as a CPU (Central Processing Unit, central processing unit), at least one communication interface 403 , memory 404 , and at least one communication bus 402 . Wherein, the communication bus 402 is used to realize connection and communication between these components. Wherein, the communication interface 403 may include a display screen (Display) and a keyboard (Keyboard), and the optional communication interface 403 may also include a standard wired interface and a wireless interface. The memory 404 may be a high-speed RAM memory (Ramdom Access Memory, volatile random access memory), or a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory 404 may also be at least one storage device located away from the aforementioned processor 401 . Wherein, the processor 401 can execute the metho...

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Abstract

The invention discloses a method and system for optimizing equipment capacity configuration of a park comprehensive energy system, wherein the method includes: obtaining the comprehensive energy cost of the park comprehensive energy system; taking the minimum of the comprehensive energy cost as an objective function; obtaining the value of the objective function Preset optimization constraints; according to the optimization constraints, use particle swarm optimization and mixed integer linear programming to solve the objective function, and obtain the optimal capacity of each device in the park's comprehensive energy system. The optimization method for equipment capacity configuration of park comprehensive energy system provided by the present invention establishes an optimal design model aiming at minimizing the comprehensive energy cost, and uses the particle swarm algorithm and mixed integer linear programming to solve the optimal equipment capacity that minimizes the comprehensive energy cost, which can effectively Reducing the energy cost of the park is conducive to improving the system economy.

Description

technical field [0001] The invention relates to the field of integrated energy systems, in particular to a method and system for optimizing equipment capacity configuration of an integrated energy system in a park. Background technique [0002] In the context of the Energy Internet, various energy sources such as electricity, gas, and heat are increasingly closely coupled together. With the continuous addition of coupling devices, the traditional separation of energy subsystems has been broken and an integrated energy system has been formed. The comprehensive energy system faces huge technical challenges in parameter design, capacity configuration and optimal control due to its complex structure, various types of equipment, large differences in equipment operating characteristics, cold-heat-electric coupling characteristics, and high-permeability new energy. At present, the development of integrated energy systems in China is relatively slow, and the operation of the system...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06N3/00G06F17/11
CPCG06Q10/04G06Q10/0631G06Q50/26G06N3/006G06F17/11
Inventor 徐桂芝于雪风梁丹曦宋洁邓占锋
Owner GLOBAL ENERGY INTERCONNECTION RES INST CO LTD
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