Adaptive voltage control with distributed energy resources: Algorithm, theoretical analysis, simulation, and field test verification

Li, Huijuan; Li, Fangxing; Xu, Yan; Rizy, D.T.; Kueck, J.D.

doi:10.1109/pes.2011.6039087

Cited by 57 publications

(30 citation statements)

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“…In other words, the the ratio of voltage generation to voltage generation capabilities is kept equal among all ESBCs. We can simply set m t i ¼ e t i V max ES;i for all the ESBCs to equally realize this equal sharing in the consensus state, as expressed by (10).…”

Section: Consensus Algorithmmentioning

confidence: 99%

“…Due to the high investment cost, batteries should be designed for multiple objectives to increase their economic feasibility. Distributed reactive power control methods for distributed generation (DG) have been proposed [10][11][12]. Reference [13] investigates the effectiveness and general performance of different reactive and active power control concepts.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Consensus Algorithmmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…It is assumed that N=4 solar panels are connected through the IEEE-4 bus distribution system shown in Fig. 3 [31], [32]. Here, the input voltages are defined by is the i-th PCC voltage.…”

Section: A Distribution Power System Incorporating Microgridmentioning

confidence: 99%

Distributed dynamic state estimation over a lossy communication network with an application to smart grids

Rana

2016

2016 IEEE 55th Conference on Decision and Control (CDC)

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Abstract-In contrast to the traditional centralised power system state estimation methods, this paper investigates the interconnected optimal filtering problem for distributed dynamic state estimation considering packet losses. Specifically, the power system incorporating microgrids is modelled as a state-space linear equation where sensors are deployed to obtain measurements. Basically, the sensing information is transmitted to the energy management system (EMS) through a lossy communication network where measurements are lost. This can seriously deteriorate the system monitoring performance and even lose network stability. Secondly, as the system states are unavailable, so the estimation is essential to know the overall operating conditions of the electricity network. Availability of the system states provides designers an accurate picture of the power network, so a suitable control strategy can be applied to avoid massive blackouts due to lose network stability. Particularly, the proposed estimator is based on the mean squared error between the actual state and its estimate. To obtain the distributed estimation, the optimal local and neighbouring gains are computed to reach a consensus estimation after exchanging their information with the neighbouring estimators. Then the convergence of the developed algorithm is theoretically proved. Afterwards, a distributed controller is designed based on the semidefinite programming approach. Simulation results demonstrate the accuracy of the developed approaches under the condition of missing measurements.Index Terms-Distributed controller, distributed dynamic estimation, energy management system, packet losses, linear matrix inequality.

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“…For simplicity, we assume that N=4 solar panels are connected through the IEEE-4 bus test feeder as shown in Fig. 2 [15], [16]. Here the input voltages are denoted by [16].…”

Section: Microgrid System Modelmentioning

confidence: 99%

Cyber attack protection and control in microgrids using channel code and semidefinite programming

Rana

2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

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Abstract-The smart grid has been considered as a nextgeneration power system to modernize the traditional grid to improve its security, connectivity and sustainability. Unfortunately, the grid is susceptible to malicious cyber attacks, which can create serious technical, economical and control problems in power network operations. In contrast to the traditional cyber attack minimization techniques, this paper proposes a recursive systematic convolutional (RSC) code and Kalman filter based method in the context of microgrids. Specifically, the proposed RSC code is used to add redundancy in the microgrid states, and the log maximum a posterior is used to recover the state information which is affected by random noises and cyber attacks. Once the estimated states are obtained, a semidefinite programming based optimal feedback controller is proposed to regulate the system states. Test results show that the proposed approach can accurately mitigate the cyber attacks and properly estimate and control the system states.

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Adaptive voltage control with distributed energy resources: Algorithm, theoretical analysis, simulation, and field test verification

Cited by 57 publications

References 0 publications

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

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

Distributed dynamic state estimation over a lossy communication network with an application to smart grids

Cyber attack protection and control in microgrids using channel code and semidefinite programming

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