DocumentCode
2596831
Title
Control strategies of load considering dynamic processes after blackout
Author
He, Xingqi ; Liu, Junyong ; Yang, Ke ; Tang, Maolin
Author_Institution
Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China
fYear
2009
fDate
6-7 April 2009
Firstpage
1
Lastpage
5
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.
Keywords
genetic algorithms; load regulation; power system restoration; power system stability; adaptive genetic algorithm; blackout; dynamic stability; load control strategy; load restoration; optimal control problem; power system; real time dynamic system; steady power flow; steady state parameters; Frequency; Power system dynamics; Power system modeling; Power system restoration; Power system simulation; Power system stability; Power system transients; Real time systems; Steady-state; Voltage; Black start; dynamic constraints; dynamic stability; genetic algorithm; load recovery; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4934-7
Type
conf
DOI
10.1109/SUPERGEN.2009.5347897
Filename
5347897
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