NDLI: Communication-efficient distributed strategy for reactive power optimisation considering the uncertainty of renewable generation

Content Provider	IET Digital Library
Author	Li, Jing Xin, Huanhai Wei, Wei Dai, Wenzhan
Abstract	Due to the non-linear power flow equality constraints and uncertain injected power of renewable generation, the reactive power optimisation problem is stochastic and non-convex, which is hard to be solved efficiently. Therefore, the discrete probability model of renewable generation is utilised to build the multi-scenario deterministic formulation of the stochastic problem, which is further changed to a conic optimisation model via the second-order conic relaxation. By using the skill of splitting buses and the augmented Lagrangian decomposition, the problem is separated into several smaller manageable sub-problems. Moreover, on the basis of the accelerated local augmented Lagrangian, a fully distributed conic optimisation algorithm is developed and the global optimal solution can be obtained iteratively in a parallel fashion. During the iterative procedure of the algorithm, only partial local message, without central coordination, need to be exchanged between the neighbouring subsystems. Each subsystem is interested in knowing only some components rather than the entire information, which improves communication efficiency. Simulations verify the effectiveness of the proposed algorithm.
Starting Page	3681
Ending Page	3690
Page Count	10
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 15, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.1317
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-11-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Accelerated Local Augmented Lagrangian Augmented Lagrangian Decomposition Communication-efficient Distributed Strategy Discrete Probability Model Fully Distributed Conic Optimisation Algorithm Global Optimal Solution Interpolation And Function Approximation Iterative Method Iterative Procedure Load Flow Multiscenario Deterministic Formulation Nonlinear Power Flow Equality Constraint Numerical Analysis Optimisation Optimisation Technique Partial Local Message Power Transmission, Distribution And Supply Probability Reactive Power Reactive Power Optimisation Problem Renewable Generation Second-order Conic Relaxation Splitting Bus Statistics Uncertain Injected Power
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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