Reactive power optimization method for power distribution network containing distributed power supply based on dragonfly algorithm

A distributed power supply and optimization method technology, applied in the direction of constraint-based CAD, multi-objective optimization, design optimization/simulation, etc., can solve the problems of low voltage quality and high line loss of distribution network, and achieve low line loss and high optimization The effect of high precision and great practical application value

Pending Publication Date: 2022-04-22
STATE GRID LIAONING ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Its purpose is to effectively solve the problems of high line loss and low voltage quality in the distribution network during operation.

Method used

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  • Reactive power optimization method for power distribution network containing distributed power supply based on dragonfly algorithm
  • Reactive power optimization method for power distribution network containing distributed power supply based on dragonfly algorithm
  • Reactive power optimization method for power distribution network containing distributed power supply based on dragonfly algorithm

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Embodiment 1

[0087] The present invention provides an embodiment, which is a method for optimizing reactive power of a distribution network with distributed power sources based on the Dragonfly algorithm. Such as figure 1 Shown is the IEEE-33 node standard power distribution system to which the method of the present invention is applied. The IEEE 33-node system is a standard example test system with 33 nodes, which is usually a simplified model of an actual power system, and is used for performance testing of different algorithms in different research directions in the field of power systems. In response to actual needs, the present invention introduces distributed power sources at some nodes of the original test system. The steps to realize reactive power optimization on the test system include the following parts. First, some nodes in the test system are selected as nodes connected to distributed power sources. Secondly, a reactive power optimization mathematical model is established f...

Embodiment 2

[0152] The present invention provides another embodiment, which is a reactive power optimization method based on the dragonfly algorithm for a distributed power distribution network. In order to further illustrate the effect of the present invention, a numerical example of the present invention is given below for simulation calculation .

[0153] In order to verify the validity of the proposed algorithm of the present invention, select such as figure 1 The improved IEEE 33-node system shown is simulated and verified. The standard example test system has 33 standard nodes, which is usually a simplified model of an actual power system, and is used for performance testing of different algorithms in different research directions in the field of power systems. Distributed power is introduced at nodes 8, 25, and 32, and it is assumed that the active output of the distributed power is 150kW and the reactive output is 0kW. In addition, each node can be used as a reactive power compe...

Embodiment 3

[0167] Based on the same inventive concept, an embodiment of the present invention also provides a computer device, including a storage medium, a processor, and a computer program stored on the storage medium and operable on the processor. When the processor executes the computer program, it realizes the steps of any reactive power optimization method based on the dragonfly algorithm of the distributed power distribution network described in Embodiment 1 or 2.

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Abstract

The invention belongs to the technical field of reactive power optimization of a power system, and particularly relates to a reactive power optimization method for a power distribution network containing a distributed power supply based on a dragonfly algorithm. Comprising the following steps: step 1, considering the influence of a distributed power supply on reactive power optimization of the power distribution network, and establishing a reactive power optimization mathematical model of the power distribution network; step 2, acquiring node data of the power distribution network system, selecting node positions where distributed power supplies are placed, and setting the number and value range of control variables; step 3, initializing parameters; 4, performing correlation calculation on each dragonfly individual in the population, and adaptively adjusting the weight coefficient of each behavior; 5, adjusting the position updating range of each dragonfly individual; step 6, dragonfly fitness calculation; step 7, judging a termination condition; 8, iteration is stopped, and the final optimal reactive compensation amount and the optimal value are output. According to the invention, a high-precision reactive compensation scheme can be provided, line loss is reduced, and safe and stable operation of a power distribution system is ensured.

Description

technical field [0001] The invention belongs to the technical field of reactive power optimization of electric power systems, and in particular relates to a reactive power optimization method of a distribution network containing distributed power sources based on a dragonfly algorithm. Background technique [0002] With the rapid development of the economy and the continuous improvement of people's living standards, the demand for electric energy is increasing, and the requirements for voltage quality are also increasing. However, traditional energy power generation has brought environmental pollution problems and traditional energy reserves are also in short supply. In order to solve the contradiction between the growing energy demand and the actual power generation problem, a distributed power supply is introduced into the traditional power grid, and the use of renewable energy Power generation, while strengthening the loss reduction and energy saving management of the dis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/00G06Q50/06G06F111/04G06F111/06G06F119/06
CPCG06F30/27G06Q50/06G06N3/006G06F2119/06G06F2111/04G06F2111/06Y02E40/70Y04S10/50
Inventor 史可鉴代子阔朱义东张新宇田野钟栗广杜威李海峰王智博呼笑笑顾泰宇白挺玮于重
Owner STATE GRID LIAONING ELECTRIC POWER RES INST
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