Reactive Power Planning for Regional Power Grids Based on Active and Reactive Power Adjustments of DGs

Yangwu Shen, Feifan Shen, Yaling Chen, Liqing Liang, Bin Zhang and Deping Ke
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Yangwu Shen: Sate Grid Hunan Electric Power Corporation Research Institute, Changsha 410007, China
Feifan Shen: Department of Electrical Engineering, Technical University of Denmark, kgs. Lyngby, 2008 Copenhagen, Denmark
Yaling Chen: School of Humanities and Management, Hunan University of Chinese Medicine, Changsha 410208, China
Liqing Liang: Sate Grid Hunan Electric Power Corporation Research Institute, Changsha 410007, China
Bin Zhang: Sate Grid Hunan Electric Power Corporation Research Institute, Changsha 410007, China
Deping Ke: Department of Electrical Engineering, Wuhan University, Wuhan 430000, China

Energies, 2018, vol. 11, issue 6, 1-17

Abstract: To deal with extreme overvoltage scenarios with small probabilities in regional power grids, the traditional reactive power planning model requires a huge VAR compensator investment. Obviously, such a decision that makes a large investment to cope with a small probability event is not economic. Therefore, based on the scenario analysis of power outputs of distributed generations and load consumption, a novel reactive power planning model considering the active and reactive power adjustments of distributed generations is proposed to derive the optimal allocation of VAR compensators and ensure bus voltages within an acceptable range under extreme overvoltage scenarios. The objective of the proposed reactive power planning model is to minimize the VAR compensator investment cost and active power adjustment cost of distributed generations. Moreover, since the proposed reactive power planning model is formulated as a mixed-integer nonlinear programming problem, a primal-dual interior point method-based particle swarm optimization algorithm is developed to effectively solve the proposed model. Simulation results were conducted with the modified IEEE 30-bus system to verify the effectiveness of the proposed reactive power planning model.

Keywords: reactive power planning; distributed generation; active power adjustment; mixed integer nonlinear programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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