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Energy-saving and environment-friendly power purchase method and device

An energy-saving and environmental-friendly, particle-based technology, applied in circuit devices, electrical components, AC network circuits, etc., can solve the problems of unbalanced safety and environmental protection in terms of economic benefits, achieve fast calculation speed, improve environmental protection, and take economic benefits into consideration Effect

Inactive Publication Date: 2018-11-16
BEIJING KEDONG ELECTRIC POWER CONTROL SYST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the purpose of the embodiments of the present invention is to provide an energy-saving and environment-friendly power purchasing method and device based on particle swarm optimization algorithm, so as to solve the above-mentioned existing power purchasing strategy that only considers economic benefits and cannot balance safety and environmental protection. sexual problems

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  • Energy-saving and environment-friendly power purchase method and device

Examples

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no. 1 example

[0027] Please refer to figure 1 , figure 1 It is a schematic flowchart of an energy-saving and environment-friendly power purchase method based on particle swarm optimization algorithm provided by the first embodiment of the present invention. The steps of the environmentally friendly electricity purchase method may be as follows:

[0028] Step S10: Initialize the population of particles according to the power plant data.

[0029] Step S20: Calculate the total power purchase cost according to the multi-objective energy-saving and environmental protection power purchase model, and use the total power purchase cost as the fitness value of the particle.

[0030] Step S30: Under the restriction of constraint conditions, iteratively optimize the velocity and position of the particles.

[0031] Step S40: Obtain the historical optimal fitness value of the particle in the iterative optimization that has been performed.

[0032] Step S50: Determine that the historical optimal fitne...

no. 2 example

[0108] In order to better realize the energy-saving and environment-friendly power purchasing method based on the particle swarm optimization algorithm provided in the first embodiment of the present invention, the second embodiment of the present invention also provides an energy-saving and environment-friendly electricity purchasing device 100 based on the particle swarm optimization algorithm.

[0109] Please refer to image 3 , image 3 It is a module schematic diagram of an energy-saving and environment-friendly power purchasing device based on particle swarm optimization algorithm provided by the second embodiment of the present invention.

[0110] The energy-saving and environment-friendly power purchasing device 100 includes an initialization module 110, a fitness calculation module 120, an iterative optimization module 130 and a power purchase scheme determination module 140.

[0111] The initialization module 110 is used to initialize the population of particles acc...

no. 3 example

[0129] Please refer to Figure 4 , Figure 4 The third embodiment of the present invention provides a structural block diagram of an electronic device applicable to the embodiments of the present application. The electronic device 200 may include an energy-saving and environment-friendly power purchasing device 100 , a memory 201 , a storage controller 202 , a processor 203 , a peripheral interface 204 , an input / output unit 205 , an audio unit 206 , and a display unit 207 .

[0130] The memory 201, storage controller 202, processor 203, peripheral interface 204, input and output unit 205, audio unit 206, and display unit 207 are electrically connected to each other directly or indirectly to realize data transmission or interact. For example, these components may be electrically connected to each other through one or more communication buses or signal lines. The energy-saving and environment-friendly power purchasing device 100 includes at least one software function module...

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Abstract

The invention provides an energy-saving and environment-friendly power purchase method and device based on the particle swarm optimization algorithm, which relate to the technical field of power purchase strategies. The energy-saving and environment-friendly power purchase method includes the following steps: carrying out population initialization on a particle according to the data of a power plant; calculating the total power purchase cost according to a multi-objective energy-saving and environment-friendly power purchase model, and taking the total power purchase cost as the fitness valueof the particle; iteratively optimizing the speed and position of the particle under constraints; acquiring the historical optimal fitness value of the particle in the iterative optimization which hasbeen carried out; and determining that the historical optimal fitness value meets a preset accuracy requirement, determining the particle corresponding to the historical optimal fitness value, and determining the total power purchase cost and power purchase scheme matching the corresponding particle. According to the energy-saving and environment-friendly power purchase method, an optimal power purchase scheme considering economy, security and social benefits is obtained through an improved particle swarm optimization algorithm, and therefore, the power purchase plan is optimized for power grid companies, and the cost of power purchase is reduced.

Description

technical field [0001] The present invention relates to the technical field of power purchase strategy, in particular, to an energy-saving and environment-friendly power purchase method and device based on particle swarm algorithm. Background technique [0002] Since the reform of my country's electric power system in 2002, power grid enterprises have become a bridge connecting power generation resources and demand sides, and power grid enterprises and power generation companies have become equal market members. The relationship between the two has changed from centralized scheduling to economic relations. The optimal power purchase plan that maximizes benefits and social benefits and is constrained by market fairness, while the power purchase cost of power grid enterprises is affected by various factors such as power purchase price, power purchase quantity and power purchase method. Therefore, power grid enterprises need to consider the multi-objective power purchase method ...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/46
CPCH02J3/00H02J3/46H02J2203/20
Inventor 王蕾习培玉高春成张楠谢文雷少锋酉章良史述红王清波王海宁张倩袁明珠谭翔汪涛代勇
Owner BEIJING KEDONG ELECTRIC POWER CONTROL SYST