Title :
Supply and demand balance control of power system with renewable energy integration by introducing congestion management
Author :
Bae, Hyangryul ; Tsuji, Takao ; Oyama, Tsutomu ; Uchida, Kenko
Author_Institution :
Grad. Sch. of Eng., Yokohama Nat. Univ., Yokohama, Japan
fDate :
June 29 2015-July 2 2015
Abstract :
The unstable output of renewable energy sources, such as wind turbines or photovoltaics, causes various issues in power system operation. With a large number of renewable energy sources, it is well known that the supply and demand balance control becomes a difficult issue. In addition, together with the progress of the electric power deregulation, the power flow problem will be more complex and important in the near future. Therefore, it is essential to realize the stable frequency control considering the power flow constraints. Hence, in this paper, we develop a new control mechanism regarding both frequency and power flow constraints. Based on the load frequency control and governor free control, we prepared the basic mechanism of the frequency control. Moreover, based on the demand response concept, we propose a new pricing method by using a formulation as an optimization problem for the purpose of maximizing the social surplus. The proposed method was tested in IEEE 39 bus system and it was shown that it worked properly.
Keywords :
demand side management; electricity supply industry deregulation; frequency control; load flow control; pricing; renewable energy sources; congestion management; demand response concept; electric power deregulation; frequency constraints; governor free control; load frequency control; optimization problem; power flow constraints; power flow problem; power system operation; pricing method; renewable energy sources; social surplus; stable frequency control; supply and demand balance control; Fluctuations; Frequency control; Generators; Load flow; Mathematical model; Renewable energy sources; Supply and demand; Congestion Management; Demand Response; Distributed Generator; Supply and Demand Control;
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven
DOI :
10.1109/PTC.2015.7232834