NDLI: Sensitivity-based relaxation and decomposition method to dynamic reactive power optimisation considering DGs in active distribution networks

Content Provider	IET Digital Library
Author	Ding, Tao Liu, Shiyu Wu, Zhongyu Bie, Zhaohong
Abstract	With the development of active distribution networks, new challenges such as overvoltage and power loss become critical. The reactive power optimisation serves as a voltage control measure to minimise the total transmission loss by coordinating the continuous and discrete reactive power compensators while guaranteeing the specific physical and operating constraints. To address the daily operating times of discrete control variables, the dynamic reactive power optimisation (DRPO) is set up to minimise total energy loss over several time periods when considering the inter-temporal constraints. However, DRPO is in fact a large-scale mixed integer non-linear non-convex programming that is difficult to solve. Therefore, second-order cones are employed to relax the non-convex power flow equations to obtain a mixed integer second order cone programming model. Furthermore, a sensitivity-based relaxation and decomposition method is proposed to further improve the computational performance. Solution quality and computational performance are compared with traditional methods on IEEE-33, 123 and 615-bus systems as well as two real-world distribution networks in China. The Results demonstrate that the fast performance and effectiveness of the proposed technique.
Starting Page	37
Ending Page	48
Page Count	12
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 1, Jan (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.0303
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-01-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Distribution Network China Computational Performance Concave Programming Continuous Reactive Power Compensators Decomposition Method Discrete Reactive Power Compensators Distribution Network Dynamic Reactive Power Optimisation IEEE 615-bus System IEEE-615-bus System Integer Programming Inter-temporal Constraint Mixed Integer Non-linear Non-convex Programming Mixed Integer Second Order Cone Programming Model Nonconvex Power Flow Equation Optimisation Technique Power Loss Reactive Power Reactive Power Optimisation Sensitivity-based Relaxation Transmission Loss Voltage Control
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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