Reliability Analysis of Substation Monitoring Systems Based on Branch PMUs

Gómez, Óscar; Portilla, César; Ríos, Mario Alberto Gaviria

doi:10.1109/tpwrs.2014.2330736

Cited by 23 publications

(16 citation statements)

References 21 publications

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“…However this scheme may potentially lead to over-installation of PMUs in the system [5]. As an alternative, a reliability-based PMU placement model is proposed where the possibility of maintaining full observability is investigated [8]. This model considers a trade-off between the total number of PMUs installed and the WAMS reliability, resulting in more versatile placement solutions [17].…”

Section: Related Workmentioning

confidence: 99%

“…Meanwhile, based on the definitions of M and D given in Section 4.1, m ii = 1 if a PMU is installed on bus i, and d ij = 1 if a DULR is installed on branch (i, j) at the i end. In such cases, we have m i = 1 and d i = 1 according to (8) and (9), respectively. Finally, synchrophasors generated by measurement devices should be sent to PDCs installed at some buses and this gives (10).…”

Section: Control Variable Constraintsmentioning

confidence: 99%

“…DULRs are the protection digital relays for transmission lines and transformers which can report synchrophasor data while providing system protection [6]. Due to its characteristics of being installed along transmission lines and at transformers, DULR is also called "branch PMU" in some previous research [7,8]. Although DULR can only monitor the voltage phasor of its adjacent bus and the current phasor of the branch, it is still promising due to its low construction cost [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A unified framework for wide area measurement system planning

Lam

Hill

et al. 2018

International Journal of Electrical Power & Energy Systems

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Wide area measurement system (WAMS) is one of the essential components in the future power system. To make WAMS construction plans, practical models of the power network observability, reliability, and underlying communication infrastructures need to be considered. To address this challenging problem, in this paper we propose a unified framework for WAMS planning to cover most realistic concerns in the construction process. The framework jointly optimizes the system construction cost, measurement reliability, and volume of synchrophasor data traffic resulting in a multi-objective optimization problem, which provides multiple Pareto optimal solutions to suit different requirements by the utilities. The framework is verified on two IEEE test systems. The simulation results demonstrate the trade-off relationships among the proposed objectives. Moreover, the proposed framework can develop optimal WAMS plans for full observability with minimal cost. This work develops a comprehensive framework for most practical WAMS construction designs.

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Section: Related Workmentioning

confidence: 99%

Section: Control Variable Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A unified framework for wide area measurement system planning

Lam

Hill

et al. 2018

International Journal of Electrical Power & Energy Systems

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“…According to the IEEE specification, data from a correctly functioning PMU also satisfy tight phase and magnitude error tolerances [20]. Hence, many methods combine PMU data, SCADA data, and model information for state estimation [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33] and for detection and localization of faults [34], [35], [36], [37], [38], [14], [39], [15], [40], [41], [42], [43].…”

Section: B Prior Workmentioning

confidence: 99%

FLiER: Practical Topology Update Detection Using Sparse PMUs

Ponce

Bindel

2017

IEEE Trans. Power Syst.

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Abstract-In this paper, we present a Fingerprint Linear Estimation Routine (FLiER) to identify topology changes in power networks using readings from sparsely-deployed phasor measurement units (PMUs). When a power line, load, or generator trips in a network, or when a substation is reconfigured, the event leaves a unique "voltage fingerprint" of bus voltage changes that we can identify using only the portion of the network directly observed by the PMUs. The naive brute-force approach to identify a failed line from such voltage fingerprints, though simple and accurate, is slow. We derive an approximate algorithm based on a local linearization and a novel filtering approach that is faster and only slightly less accurate. We present experimental results using the IEEE 57-bus, IEEE 118-bus, and Polish 1999-2000 winter peak networks.

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“…The author in [13] proposed mixed integer nonlinear programming (MINLP) which considers branch and bound algorithm for optimal allocation of PMUs in network. The author in [14] presented fault tree analysis for reliability-based contingencyconstrained optimal placement of PMUs. The author in [15] considered observability redundancy along with zero injection buses for optimal allocation of PMUs.…”

Section: Introductionmentioning

confidence: 99%

A multi-constrained binary ILP method for optimal allocation of PMUs in network

Lakshminarayana

Venkatesan

2020

SN Appl. Sci.

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This paper proposes multi-constrained binary integer linear programming (MBILP) method for optimal installation of phasor measurement units in IEEE networks considering Fast Load Voltage Stability Index (FLVSI), branch weight and redundancy constraints to minimize the cost of installation and to accomplish complete network observability. The weak buses of IEEE network are sorted based on their severity through the proposed strategy. A new FLVSI is programmed along with branch weight and redundancy constraints in MBILP to place PMUs in network. As installation cost of PMU for different buses varies with the number of branches or number of channels connected, PMUs should be allotted at bus with minimum cost. Redundancy of bus is computed to measure redundancy of bus network. Priority of PMU placement is considered at weak bus with proposed FLVSI in such a way that the cost is minimized and redundancy is adequate considering both branch weight and redundancy constraints. Ranking is proposed for PMU placement to find weak load bus in network along with the consideration of branch weight and redundancy. Zero injection (ZI) constraint modeling is recommended to minimize allocations further in system without losing observability. Contingency constraints for single-line or PMU loss are considered for allocation of PMUs. The proposed method is compared with ZI and without ZI modeling under general and line-outage or PMU loss cases to show efficacy of method. To estimate observability performance of complete network, a Complete Network Bus Observability Index is suggested. IEEE 14-, 24-, 30-and 57-bus networks are programmed with MATLAB software and compared with standard approaches to validate their efficacy.

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Reliability Analysis of Substation Monitoring Systems Based on Branch PMUs

Cited by 23 publications

References 21 publications

A unified framework for wide area measurement system planning

A unified framework for wide area measurement system planning

FLiER: Practical Topology Update Detection Using Sparse PMUs

A multi-constrained binary ILP method for optimal allocation of PMUs in network

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