Decentralized Short-Term Voltage Control in Active Power Distribution Systems

Feng, Changsen; Li, Zhiyi; Shahidehpour, Mohammad; Liu, Weijia; Wang, Xiaolei

doi:10.1109/tsg.2017.2663432

Cited by 82 publications

(47 citation statements)

References 35 publications

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“…Zhang et al proposed a fast-distributed dual gradient algorithm [1]. Furthermore, a lot of research exploited the alternating direction method of multipliers (ADMM) algorithm and declared that this algorithm can not only guarantee the distributed advantage of the dual subgradient algorithm, but also avoid the shortcomings of slow convergence or even nonconvergence [13][14][15][16][17]. Tsai et al proposed a randomized ADMM approach to achieve real-time power balance in a neighborhood with a large number of load customers [13].…”

Section: Related Workmentioning

confidence: 99%

“…Tan et al discussed three distributed ADMM algorithms for solving the dynamic DC optimal power flow problem with demand response [14]. A short-term control strategy for active power distribution systems was proposed to regulate voltages into statutory ranges [15]. Wang et al proposed a consensus-based ADMM method for solving the dynamic DC optimal power flow problem with demand response in a distributed manner [16].…”

Section: Related Workmentioning

confidence: 99%

“…The models developed in [15,16] solved the problems of demand response well, but they do not involve the RTP scheme. Noticing that the dual subgradient algorithm used in [6][7][8][9][10][11][12] was a gradientbased method which usually had a slow convergence time, [17] developed a distributed approach based on ADMM.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Real-Time Pricing for Demand Response in Smart Grid Based on Alternating Direction Method of Multipliers

Zhu

Gao

Hou

2018

Mathematical Problems in Engineering

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The real-time pricing (RTP) scheme is an ideal method to adjust the power balance between supply and demand in smart grid systems. This scheme has a profound impact on users' behavior, system operation, and overall grid management in the electricity industry. In this research, we conduct an extended discussion of a RTP optimization model and give a theoretical analysis of the existence and uniqueness of the Lagrangian multiplier. A distributed optimization method based on the alternating direction method of multipliers (ADMM) algorithm with Gaussian back substitution (GBS) is proposed in this study. On the one hand, the proposed algorithm takes abundant advantage of the separability among variables in the model. On the other hand, the proposed algorithm can not only speed up the convergence rate to enhance the efficiency of computing, but also overcome the deficiency of the distributed dual subgradient algorithm, the possibility of nonconvergence in the iteration process. In addition, we give the theoretical proof of the convergence of the proposed algorithm. Furthermore, the interdependent relationship between variables has been discussed in depth during numerical simulations in the study. Compared with the dual subgradient method, the simulation results validate that the proposed algorithm has a higher convergence speed and better implementation effect.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Pricing for Demand Response in Smart Grid Based on Alternating Direction Method of Multipliers

Zhu

Gao

Hou

2018

Mathematical Problems in Engineering

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“…One key challenge is voltage control [1][2][3]. Ultra high renewable penetration brings significant uncertainties in system net demand leading to sharp power fluctuations and voltage violations.…”

Section: Introductionmentioning

confidence: 99%

Consensus control of electric spring using back-to-back converter for voltage regulation with ultra-high renewable penetration

Zheng

Zhang

Hill

et al. 2017

J. Mod. Power Syst. Clean Energy

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Recent advances in a power electronic device called an electric spring (ES) provide feasible solutions to meeting critical customers' requirements for voltage quality. A new version of the ES was introduced based on a back-to-back converter (ESBC) configuration which extends the operating range and improves the voltage suppression performance to facilitate ultra-high renewable penetration. This paper proposes an efficient control method to facilitate the voltage regulation function of an ESBC with non-critical loads. Particularly, the proposed method is suitable for various load characteristics. We also develop a consensus algorithm to coordinate multiple ESs for maintaining critical bus voltage in distribution systems with ultra-high renewable penetration. The proposed operation of the ESBC is verified by simulation of a modified IEEE 15-bus distribution network. The results show that the ESBC can effectively regulate system voltage and is superior to the original version of the ES.

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“…Network decomposition was first carried out, and then a distributed solution for the established optimization model through invoking alternating-direction method of multipliers (ADMM). A modified IEEE 33-bus power system was finally utilized to demonstrate the performance of distributed energy management in an NM.Energies 2018, 11, 2555 2 of 18 for implementing the control center as well as communication infrastructures [3,4]. Furthermore, storing all data in one control center carries the risk of exposing the privacy of customers, as well as unavoidable single-point failures [3].…”

mentioning

confidence: 99%

Decentralized Energy Management of Networked Microgrid Based on Alternating-Direction Multiplier Method

Feng

Wen

Zhang³

et al. 2018

Energies

Self Cite

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With the ever-intensive utilization of distributed generators (DGs) and smart devices, distribution networks are evolving from a hierarchal structure to a distributed structure, which imposes significant challenges to network operators in system dispatch. A distributed energy-management method for a networked microgrid (NM) is proposed to coordinate a large number of DGs for maintaining secure and economic operations in the electricity-market environment. A second-order conic programming model is used to formulate the energy-management problem of an NM. Network decomposition was first carried out, and then a distributed solution for the established optimization model through invoking alternating-direction method of multipliers (ADMM). A modified IEEE 33-bus power system was finally utilized to demonstrate the performance of distributed energy management in an NM.Energies 2018, 11, 2555 2 of 18 for implementing the control center as well as communication infrastructures [3,4]. Furthermore, storing all data in one control center carries the risk of exposing the privacy of customers, as well as unavoidable single-point failures [3]. More importantly, the distributed method is more computationally efficient than the centralized one. Therefore, it is desirable to effectively coordinate NMs in a distributed manner for improving reliability and economics. Literature ReviewConventionally, a distribution-level microgrid is centrally controlled by a central coordination center [5]. More specifically, the central coordination center collects relevant information from dispersed controllable devices and forecasting data to perform an optimal dispatch of distributed resources for the next period [6]. Centralized energy-management architecture has been widely studied in existing publications. Reference [7] proposed a two-layer energy-management model wherein the schedule level attains the economic-operation scheme based on forecasts, while the dispatch level dispatches controllable DGs based on real-time data. In Reference [8], a centralized scheduling algorithm was proposed for an electric vehicle-dominated microgrid to optimize the charging scheme considering the charging cost and convenience of microgrid users. In Reference [9], the centralized energy-management problem for a household-level microgrid was formulated as a utility-maximization problem, subject to capacity constraints. In Reference [10], a centralized energy-management optimization model was formulated for a residential-quarter microgrid including a concentrating solar-power unit with an objective of minimizing the involved operation costs. A two-stage stochastic demand-side management model for a commercial-building microgrid is formulated in Reference [11], considering the uncertainties in solar-generation outputs, loads, microgrid availabilities, and microgrid energy demands.The fully distributed optimization method includes two broad categories, i.e., the Lagrangian relaxation-based and the optimality-condition decomposition-based category. The Lagrangian r...

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Decentralized Short-Term Voltage Control in Active Power Distribution Systems

Cited by 82 publications

References 35 publications

Real-Time Pricing for Demand Response in Smart Grid Based on Alternating Direction Method of Multipliers

Real-Time Pricing for Demand Response in Smart Grid Based on Alternating Direction Method of Multipliers

Consensus control of electric spring using back-to-back converter for voltage regulation with ultra-high renewable penetration

Decentralized Energy Management of Networked Microgrid Based on Alternating-Direction Multiplier Method

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