reactive power compensation of saudi electricity-western operation area using dynamic programming and genetic algorithm

reactive power compensation of saudi electricity-western operation area using dynamic programming and genetic algorithm

;Youssef Mobarak;Mohamed E. Dessuki
آب و فاضلاب 2019 Vol. 15 pp. 30-41
234
mobarak2019journalreactive

Abstract

This paper presents a study of the 380-kV network of Saudi Electricity Company in the Western Operation Area (SEC-WOA). Where, the effect of using series, shunt, and mixed capacitors for reactive power compensation on the network is investigated. Three different load levels namely light, medium, and peak have been considered in the investigation. Power world simulator (PWS) is used to perform the network load flow analysis, the obtained results were identical to the real load flow in the company documents. PWS based Dynamic Programming is used to determine the size and optimal location of the capacitor used in each scheme used for reactive power compensation for the network and compared to the optimum solutions obtained by both the Genetic Algorithm (GA) and the Hybrid Genetic Algorithm (HGA). The comparison reveals better solutions of the proposed method compared with GA and HGA

Citation

ID: 145567
Ref Key: mobarak2019journalreactive
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
145567
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet