Multi-Area and Multi-Period Optimal Reactive Power Dispatch in Electric Power Systems

被引:3
|
作者
Sanchez-Mora, Martin M. [1 ]
Villa-Acevedo, Walter M. [1 ]
Lopez-Lezama, Jesus M. [1 ]
机构
[1] Univ Antioquia, Fac Engn, Dept Elect Engn, Res Grp Efficient Energy Management GIMEL, Calle 70 52-21, Medellin 050010, Colombia
关键词
network equivalent; multi-area; multi-period; optimal power dispatch; pilot nodes; reactive reserve; voltage control areas; VOLTAGE STABILITY; WARD EQUIVALENT; OPTIMIZATION; ALGORITHM;
D O I
10.3390/en16176373
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Factors such as persistent demand growth, expansion project delays, and the rising adoption of renewable energy sources highlight the importance of operating power systems within safe operational margins. The optimal reactive power dispatch (ORPD) seeks to find operating points that allow greater flexibility in reactive power reserves, thus ensuring the safe operation of power systems. The main contribution of this paper is a multi-area and multi-period ORPD (MA-MP-ORPD) model, which seeks the minimization of the voltage deviation in pilot nodes, the reactive power deviation of shunt elements, and the total reactive power generated, all taking into account the operational constraints for each area. The MA-MP-ORPD was implemented in the Python programming language using the Pyomo library; furthermore, the BONMIN solver was employed to solve this mixed-integer nonlinear programming problem. The problem was formulated from the standpoint of the system operator; therefore, it minimizes the variations of critical variables from the desired operative values; furthermore, the number of maneuvers of the reactive compensation elements was also minimized to preserve their lifetimes. The results obtained on IEEE test systems of 39 and 57 buses validated its applicability and effectiveness. The proposed approach allowed obtaining increases in the reactive power reserves of up to 59% and 62% for the 39- and 57-bus test systems, respectively, while ensuring acceptable operation values of the critical variables.
引用
收藏
页数:24
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