Study of Active Power Load-flow Algorithm
Qian Chen, Beibei Wang, Liu Yang, Liyan Cui, Chaoming Wang
Abstract
Qian Chen, Beibei Wang, Liu Yang, Liyan Cui, Chaoming Wang
Abstract
A newly active power load-flow algorithm is proposed, which perfectly decoupled active and reactive power under the same assumed condition of FDLF. In the intermediate process, algorithm of active and reactive power does not need mutual iteration. Through analysis of examples, the error is within the permitted scope of project, and the algorithm has a good convergence especially when the ratio of R/X is very large. The algorithm is especially suitable for on-line load-flow analysis, and is also used as reserve algorithm of FDLF.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A newly active power load-flow algorithm is proposed, which perfectly decoupled active and reactive power under the same assumed condition of FDLF. In the intermediate process, algorithm of active and reactive power does not need mutual iteration. Through analysis of examples, the error is within the permitted scope of project, and the algorithm has a good convergence especially when the ratio of R/X is very large. The algorithm is especially suitable for on-line load-flow analysis, and is also used as reserve algorithm of FDLF.
Key concepts: AC power, Convergence (economics), Computer science, Algorithm, Power flow, Flow (mathematics), Power (physics), Line (geometry)