Comprehensive energy system optimization method, device and equipment and readable storage medium

An integrated energy system and optimization method technology, applied in the field of integrated energy system optimization methods, devices, equipment and readable storage media, can solve problems such as inability to meet the optimization requirements of planning and operation, and low solution efficiency

Pending Publication Date: 2019-10-01
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in solving the Benders main problem, every time a sub-problem is calculated, a Benders cut will be formed. After completing a Benders cycle, the iterative cut sets continue to accumulate unti

Method used

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  • Comprehensive energy system optimization method, device and equipment and readable storage medium
  • Comprehensive energy system optimization method, device and equipment and readable storage medium
  • Comprehensive energy system optimization method, device and equipment and readable storage medium

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Embodiment 1

[0057] Please refer to figure 1 , figure 1 It is a flow chart of an integrated energy system optimization method in an embodiment of the present invention, the method includes the following steps:

[0058] S101. Obtain system parameters of the integrated energy system, and use the system parameters to construct a joint optimization model based on two-stage stochastic optimization.

[0059] Among them, system parameters include: equipment parameters and line parameters during planning, and source and load parameters during operation.

[0060] Wherein, the equipment parameter and the line parameter may specifically be control variables required for building a model in the planning stage, and may specifically be integer variables. Equipment parameters and line parameters include the construction of various units, equipment, feeders, etc. representing the integrated energy system, and the corresponding parameters are mainly the economic cost of system construction.

[0061] The...

Embodiment 2

[0084] Considering that the current stochastic optimization model for the integrated energy system does not fully consider the uncertainty of the integrated energy system, including various forms of energy such as electricity, cold, heat, and gas on the source and load side and various constraints, resulting in the construction of supply-demand samples The method is not perfect. Based on this, on the basis of the first embodiment above, the embodiment of the present invention performs a certain time-series forecast on the corresponding uncertain load, builds demand-side samples for the future planning time period, predicts the load status of various energy forms, and On the other hand, consider the inherent characteristics of randomness, volatility and intermittency of new energy sources such as wind and light. Then combine Monte Carlo and other methods, fully consider the distribution of uncertain variables, and combine certain clustering and scene screening algorithms to con...

Embodiment 3

[0133] Corresponding to the above method embodiments, the embodiment of the present invention also provides a device for optimizing an integrated energy system. The device for optimizing an integrated energy system described below and the method for optimizing an integrated energy system described above can be referred to in correspondence.

[0134] see figure 2 As shown, the device includes the following modules:

[0135] The optimization model construction module 101 is used to obtain the system parameters of the integrated energy system, and use the system parameters to construct a joint optimization model based on two-stage stochastic optimization; wherein, the system parameters include: equipment parameters and line parameters during planning, and source parameters during operation load parameter;

[0136] The model conversion processing module 102 is used to deconstrain the constrained optimization problem in the joint optimization model, and obtain the target joint op...

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Abstract

The invention discloses a comprehensive energy system optimization method, which comprises the following steps of obtaining system parameters of a comprehensive energy system, and constructing a jointoptimization model based on two-stage random optimization by utilizing the system parameters, wherein the system parameters comprise equipment parameters and line parameters during planning and source load parameters during operation; deconstraining the constraint optimization problem in the joint optimization model to obtain a target joint optimization model of the unconstrained optimization problem; carrying out iterative solution on the target joint optimization model by utilizing an accelerated gradient descent algorithm to obtain system optimization parameters; and utilizing the system optimization parameters to optimize the planning and operation of the comprehensive energy system. According to the method, rapid, effective, real-time and dynamic planning optimization and operation optimization can be carried out on the comprehensive energy system. The invention further discloses a comprehensive energy system optimization device and equipment and a readable storage medium which have corresponding technical effects.

Description

technical field [0001] The invention relates to the field of energy technology, in particular to a comprehensive energy system optimization method, device, equipment and readable storage medium. Background technique [0002] In a broad sense, an integrated energy system refers to the energy production, supply and marketing formed after the organic coordination and optimization of energy production, transmission and distribution (energy supply network), conversion, storage, and consumption in the process of planning, construction, and operation. The integrated system is the physical carrier of the Energy Internet and the main form of carrying energy for the future human society. It mainly consists of energy supply network (such as power supply, gas supply, cooling / heating network), energy exchange link (such as CCHP unit, generator set, boiler, air conditioner, heat pump, etc.), energy storage link (electricity storage, gas storage, heat storage, cold storage, etc.), termina...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06312G06Q50/06G06F30/20
Inventor 袁智勇雷金勇郭祚刚马溪原李鹏陈柔伊
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
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