NDLI: Control strategies of load considering dynamic processes after blackout

Content Provider	IEEE Xplore Digital Library
Author	Xingqi He Junyong Liu Ke Yang Maolin Tang
Copyright Year	2009
Description	Author affiliation: Sichuan Electric Power Dispatching Centre. Chengdu, Sichuan Province, P.R. China (Maolin Tang) \|\| School of Electrical Engineering and Information, Sichuan University. Chengdu, Sichuan Province, P.R. China (Xingqi He; Junyong Liu; Ke Yang)
Abstract	Fast and effective means to restore the load has a very important theoretical and practical significance after blackout. Power system is a real-time dynamic system, the constraints in current in calculation all are steady-state parameters such as steady-state frequency, steady-state voltage etc. The probable out of step and voltage collapse during the dynamic processes after load restoration cannot be considered. The problem of the load restoration during the resumption of the power system was studied in the paper. Taking into account the great change in the frequency and voltage in the transition process after load restoration, qualified steady power flow does not mean that the transient voltage and frequency which are acceptable. In view of this uncertain in this dynamic phase, The problem of load restoration was modeled as a optimal control problem with dynamic frequency, voltage and power angle constraints of large disturbance dynamic process and a adaptive genetic algorithm was introduced to solve the problem, which maximizes the total amount of load recovery and enables the power system to meet the constraints of dynamic stability. Finally, the feasibility and effectiveness of the model and algorithm were confirmed by the simulation results.
Starting Page	1
Ending Page	5
File Size	395002
Page Count	5
File Format	PDF
ISBN	9781424449347
DOI	10.1109/SUPERGEN.2009.5347897
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Power system transients Power system dynamics Power system stability Power system restoration Steady-state Power system modeling Dynamic constraints Optimization Power system simulation Black start Genetic algorithm Voltage Dynamic stability Frequency Load recovery
Content Type	Text
Resource Type	Article

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