Published July 1, 2018 | Version v1
Journal article

Research on Dynamic Reactive Power Optimization of Receiving Terminal Network Based on Voltage Infeasible Node

  • 1. State Grid Liaoyang Electric Power Supply Company, Liaoyang 111000 (China)
  • 2. Kunming Institute of Physics, Kunming 650223 (China)

Description

A dynamic reactive power optimization method for receiving end power grid with voltage infeasible nodes is proposed. Firstly, the reactive power compensation nodes are classified, and the basic concept of the system reactive compensation node is proposed. Then, on the basis of whether a voltage constraint unfeasible node is presented in a certain period, all the days are divided into feasible period cluster and infeasible interval cluster. On this basis, the receiving terminal of an unfeasible node with voltage is constructed. Dynamic reactive power optimization model of power grid. The model includes two sub models of dynamic reactive power optimization, which are unfeasible period cluster and feasible time interval cluster. In the former, a two phase algorithm based on homotopy interior point method and parallel coevolution algorithm is proposed, and the latter is solved by immune genetic algorithm. Finally, the effectiveness of the proposed method is verified by simulation analysis of the actual 25 node 110 kV high voltage distribution network. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/394/4/042009

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
394
Journal Issue
4
Journal Page Range
[6 p.]
ISSN
1757-899X

Conference

Title
5. International Conference on Advanced Composite Materials and Manufacturing Engineering
Dates
16-17 Jun 2018
Place
Xishuangbanna (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52092455
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTERIZED SIMULATION; ELECTRIC POTENTIAL; GENETIC ALGORITHMS; GRIDS; OPTIMIZATION
Descriptors DEC
ALGORITHMS; ELECTRODES; MATHEMATICAL LOGIC; SIMULATION