DocumentCode :
53673
Title :
Cooperative Control of Power System Load and Frequency by Using Differential Games
Author :
Haoyong Chen ; Rong Ye ; Xiaodong Wang ; Runge Lu
Author_Institution :
Dept. of Electr. Eng., South China Univ. of Technol., Guangzhou, China
Volume :
23
Issue :
3
fYear :
2015
fDate :
May-15
Firstpage :
882
Lastpage :
897
Abstract :
Electric power systems are evolving toward smart grids all over the world, which are generally regarded as the next-generation power systems with extensive application of advanced control, communications, and computation techniques. More and more distributed intelligent controllers will be employed in smart grids. Load frequency control (LFC) is a key issue in the traditional interconnected power systems, which constantly requires different control areas (CAs) to share the regulation burden of the CA that lacks regulation capacity by providing the power supports via the tie-line. Such a process imposes extra regulation costs on the helping CAs, for example, the wear and tear of generating units, which may result in the unfairness and the CAs´ deviation from the LFC command. This situation becomes even more serious with the integration of intermittent renewable energy such as wind and solar power. In this paper, cooperative control by using differential games (DGs) is proposed as a possible solution to this problem. With a two-area and a three-area LFC models, a noncooperative equilibrium solution, and two cooperative equilibrium solutions with different time-consistency properties are derived. The case studies compare the proposed three DG-based LFC schemes with the traditional approaches based on proportional-integral control and the optimal control, and the results show that the cooperative control schemes allocate the regulation burden more rationally and ensure the CAs´ sticking to the LFC command, which will be favorable to the stability of power system operation. The capability of conflict solution of DG-based cooperative control makes it a very promising scheme for smart grid control.
Keywords :
PI control; cooperative systems; distributed control; frequency control; game theory; intelligent control; load regulation; optimal control; power system control; power system interconnection; CAs; DG-based LFC schemes; control areas; cooperative equilibrium solutions; differential games; distributed intelligent controllers; electric power systems; generating units; interconnected power systems; intermittent renewable energy integration; load frequency control; noncooperative equilibrium solution; optimal control; power system frequency cooperative control; power system load cooperative control; proportional-integral control; regulation costs; smart grid control; three-area LFC models; tie-line; time-consistency properties; two-area LFC models; Frequency control; Games; Generators; Optimal control; Power system stability; Cooperative control; Nash equilibrium; differential games (DGs); load frequency control (LFC); time consistency;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2014.2346996
Filename :
6891206
Link To Document :
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