Open AccessA novel approach for congestion management using improved differential evolution algorithm
Author(s) -
Saravanabalaji Suganthi,
Krishnathevar Ramar,
Thilagar S Hosimin,
Durairaj Devaraj
Publication year - 2018
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2614
Subject(s) - generator (circuit theory) , jacobian matrix and determinant , bidding , sensitivity (control systems) , computer science , electric power system , congestion management , differential (mechanical device) , differential evolution , algorithm , power (physics) , control theory (sociology) , mathematical optimization , reliability engineering , control (management) , engineering , electronic engineering , mathematics , physics , quantum mechanics , aerospace engineering , marketing , artificial intelligence , business
Summary This article proposes a new methodology for Congestion Management (CM) in a deregulated power system based on Generator Rescheduling/Load curtailment. This work utilizes 4 different sensitivity factors derived from the modified Jacobian matrix, used to identify the participating generator and loads for CM effectively. Also, a novel strategy of combining sensitivity factors and bidding costs is employed for selecting the control variables namely generator real power rescheduling, generator voltage adjustment, and load curtailment at selected busses. Next, an Improved Differential Evolution Algorithm (IDE) has been recommended to solve CM with the objective of minimizing Congestion Management Cost (CMC). The standard IEEE 30‐bus system and IEEE 118‐bus system are used to evaluate the proposed scheme, and based on the obtained results, it is shown that the proposed method is superior to the other CM methods reported in the literature.