A Novel Technique for Evaluating Optimal Power Flow and SVC Performance using the ABC Algorithm
Author:
Affiliation:
1. MECS,Department of EEE,Hyderabad
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10084918/10084923/10085237.pdf?arnumber=10085237
Reference21 articles.
1. Application of the fast Newton-Raphson economic dispatch and reactive power/voltage dispatch by sensitivity factors to optimal power flow;j;IEEE Trans Energy Convers,1995
2. Virtual power plant dispatch optimization using linear programming
3. Maximum loadability of power systems using hybrid particle swarm optimization;aa;IEEE Transactions on Power Systems,2005
4. A Generalized Technique to Assess the Optimum Location, and Performance Analysis of UPFC using Swarm-Based Algorithms;kalpana;Jour Green Eng,2021
5. A Standardized Approach for Evaluating UPFC's Optimal Location Using Metaheuristic Algorithms to Improve Power Quality
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. ABC Algorithm for Evaluating the Performance of the SVC and Optimal Power Flow;Algorithms for Intelligent Systems;2023
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