State estimation and observability analysis for phasor measurement unit measured systems

Korres, George N.; Manousakis, Νikolaos M.

doi:10.1049/iet-gtd.2011.0492

Cited by 55 publications

(38 citation statements)

References 37 publications

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“…We add 10 additional power injection measurements at buses 3,5,14,15,25,31,35,46, 50, and 53, to form a new measurement configuration MC(ii). Furthermore, we place 3-phase power injection measurements at all buses to form the third measurement configuration MC(iii).…”

Section: Critical Data Identification Testmentioning

confidence: 99%

“…Observability analysis is also considered from the optimization perspective, such as nonlinear and linear integer programming. With the wide application of phasor measurement units (PMUs) in transmission systems, some authors studied power system observability analysis with PMUs and the optimal PMU placement while considering network observability.…”

Section: Introductionmentioning

confidence: 99%

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PQ decoupled 3-phase numerical observability analysis and critical data identification for distribution systems

Wang

Liang

et al. 2016

Int. Trans. Electr. Energ. Syst.

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Summary Emerging active distribution systems are operated under more complicated and uncertain conditions. Because of frequent topology changes or temporary malfunctions of data acquisition, the network may lose observability and in turn may lead to the failure of distribution system state estimation. Without distribution system state estimation, the distribution system operator may not be able to make secure decisions, and the system may face with risk of serious damages. In this paper, a new real/reactive (PQ) decoupled 3‐phase numerical observability analysis method and a new critical data identification method for distribution systems are proposed. The methods can efficiently identify all unobservable branches and critical data in a non‐iterative manner. In addition to the 3‐phase decoupling, the normal equation is also PQ decoupled, and the computation burden is greatly reduced. Furthermore, all entries in the Jacobian matrix are non‐negative integers and the proposed methods present good numerical performance. Strict theoretical proofs on the performance of the proposed methods are provided and numerical results on different scales of test systems illustrate their validities.

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Section: Critical Data Identification Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PQ decoupled 3-phase numerical observability analysis and critical data identification for distribution systems

Wang

Liang

et al. 2016

Int. Trans. Electr. Energ. Syst.

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“…But it requires the installation of enough PMU measuring to ensure the system is predictable. In [29], the placement of the PMUs on the buses has been presented using intelligent algorithms, and a system observability analysis method in [30] is proposed to ensure fast and reliable results. It is known that, the PMUs of WAMS are not sufficient for static state estimation in most of the existing power systems because of the high price [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

A Mixed WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology

Jin

Shen

2018

Energies

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Abstract:To address the issue that the phasor measurement units (PMUs) of wide area measurement system (WAMS) are not sufficient for static state estimation in most existing power systems, this paper proposes a mixed power system weighted least squares (WLS) state estimation method integrating a wide-area measurement system and supervisory control and data acquisition (SCADA) technology. The hybrid calculation model is established by incorporating phasor measurements (including the node voltage phasors and branch current phasors) and the results of the traditional state estimator in a post-processing estimator. The performance assessment is discussed through setting up mathematical models of the distribution network. Based on PMU placement optimization and bias analysis, the effectiveness of the proposed method was proved to be accurate and reliable by simulations of different cases. Furthermore, emulating calculation shows this method greatly improves the accuracy and stability of the state estimation solution, compared with the traditional WLS state estimation.

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“…Some of the key smart grid components are advance meter infrastructures (AMI) and phasor measure units (PMU) [1,2]. Moreover, AMI provides consumers with full information on the electricity status, such as consumption rates, and then the data is transmitted to the control centre through a communications network.…”

Section: Introductionmentioning

confidence: 99%

A Novel Scheduling Algorithm Based on Game Theory and Multicriteria Decision Making in LTE Network

Hindia

Reza

Noordin

2015

International Journal of Distributed Sensor Networks

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Fourth generation wireless networks provide mobile users with high data rate and quality of services, such as Long Term Evolution (LTE), which has been developed by the 3rd Generation Partnership Project (3GPP). However, 3GPP is not a standardized scheduling algorithm to utilize LTE properties in smart grid applications. This paper proposes a two-level scheduling scheme composed of cooperative game theory (bankruptcy and shapely) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). The proposed algorithm improves resource allocation for three smart grid applications, namely, voice, video surveillance, and metering data. On the first level, bankruptcy and shapely value algorithm fairly distribute the resources among smart grid applications. On the second level, TOPSIS algorithm allocates the resources among application's users based on their criteria and the application's preferences. Moreover, the system's performance has been evaluated in terms of throughput, delay, and fairness index. The proposed algorithm is compared with existing algorithms, such as proportional fairness, modified largest weighted delay first, and exponential rule schemes. The results show a significant improvement compared to other algorithms. This paper presents a novel technique consisting of both TOPSIS and game theory algorithms to study three smart grid applications. The novel algorithm has proven to be an effective scheduling technique for smart grid applications.

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State estimation and observability analysis for phasor measurement unit measured systems

Cited by 55 publications

References 37 publications

PQ decoupled 3-phase numerical observability analysis and critical data identification for distribution systems

PQ decoupled 3-phase numerical observability analysis and critical data identification for distribution systems

A Mixed WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology

A Novel Scheduling Algorithm Based on Game Theory and Multicriteria Decision Making in LTE Network

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