Numerical observability method for optimal phasor measurement units placement using recursive Tabu search method

Koutsoukis, Nikolaos C.; Manousakis, Νikolaos M.; Georgilakis, Pavlos S.; Korres, George N.

doi:10.1049/iet-gtd.2012.0377

Cited by 149 publications

(67 citation statements)

References 39 publications

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“…Mathematical techniques applied to solve the OPP problem include genetic algorithms [4], linear programming [5], semi-definite programming [6], particle swarm optimization [7], Tabu search [8], etc.…”

Section: The Optimal Pmu Placement (Opp) Problemmentioning

confidence: 99%

“…In the proposed formulation, this requirement is accommodated by ensuring that each critical bus is observed by at least t + 1 PMUs. This is done by replacing the constraint specified by (5) with (8).…”

Section: Redundancy To Critical Busesmentioning

confidence: 99%

“…are at the same voltage level. The definition of ZI bus used by other researchers [6]- [8], [11] considered only condition (i) above. We added condition (ii) to ensure that for a ZI bus v, it is sufficient to place PMUs to observe N !…”

Section: Considering Presence Of Zero Injection (Zi) Busesmentioning

confidence: 99%

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A PMU Placement Scheme Considering Realistic Costs and Modern Trends in Relaying

Pal

Vullikanti

Ravi

2017

IEEE Trans. Power Syst.

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Abstract-The primary objective of the conventional optimal phasor measurement unit (PMU) placement problem is the minimization of the number of PMU devices that, when placed in a power system, measure all bus voltages. However, due to advancements in the field of relay technology, digital relays can now act as PMUs. This has significantly reduced device costs. Moreover, although the goal is to observe all the buses, the devices themselves can only be placed in substations, whose upgrade costs are much higher than those of the devices. Considering these factors, the approach proposed here simultaneously optimizes the number of substations where traditional PMUs and dual-use line relay PMUs can be placed. The general optimal substation coverage (GOSC) algorithm presented in this paper is also able to incorporate practical requirements such as redundancy in the measurement of critical elements of the system, and estimation of the tap ratios of the transformers present. Simulation results indicate that the GOSC algorithm provides significant techno-economic benefits.

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Section: The Optimal Pmu Placement (Opp) Problemmentioning

confidence: 99%

Section: Redundancy To Critical Busesmentioning

confidence: 99%

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A PMU Placement Scheme Considering Realistic Costs and Modern Trends in Relaying

Pal

Vullikanti

Ravi

2017

IEEE Trans. Power Syst.

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“…A TS method to obtain a solution for the OPP problem by checking network observability with a numerical algorithm is introduced in [36,37]. The impact of three different TS initialization schemes, together with the two TS parameters (TL and TSI), on the optimal solution is investigated.…”

Section: Tabu Search (Ts)mentioning

confidence: 99%

Artificial Intelligence Versus Conventional Mathematical Techniques: A Review for Optimal Placement of Phasor Measurement Units

Negash

Khan

Yohannes

2016

Technol Econ Smart Grids Sustain Energy

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The Phasor Measurement Unit (PMU) is a contemporary metering device installed on system to enable the power system monitoring and control. PMUs are most accurate and advance time synchronized technology which provides measurements of voltages at the buses and also current phase values which are connected to those buses where these PMUs are located. PMU placement on each bus of a system is difficult to achieve either due to cost factor or due to non-existence limitation of communication facilities in some parts of the system. Moreover, as a consequence of Ohm's Law, when a PMU is placed at a bus, neighboring busses also become observable. This implies that a system can be made observable with a lesser number of PMUs than the number of busses. It is necessary to determine the minimum number of PMUs for entire observability of the power network. The optimal placement of PMUs (OPP) problem can be solved by various techniques. Hence in this paper a comprehensive review is presented on the OPP problems under the characterization of heuristic and mathematical methodologies. Also a comparison between

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“…An EA does not guarantee a global optimal solution [12]. However, according to the literature, this technique often finds useful solutions to relatively complex problems.…”

Section: A Evolutionary Algorithmsmentioning

confidence: 99%

Metering system planning for state estimation via evolutionary algorithm and H<sup>T</sup><inf>Δ</inf> matrix considering SCADA and PMU measurements

Bozz

Vigliassi

London

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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Some years ago an efficient methodology for SCADA metering system planning was developed. The methodology enables the design of Reliable Metering Systems (RMSs) for state estimation purposes (i.e., observable metering systems free from critical measurements, critical sets and critical Remote Terminal Units), minimizing investment costs. It is based on Evolutionary Algorithms (EAs) and the analysis of the H ' ' matrix. This paper reports on the extension of this methodology for the incorporation of synchronized phasor measurements, which are provided by Phasor Measurement Units. The aim is to obtain an efficient methodology that enables the design of RMSs considering the existence of both non-synchronized SCADA measurements and synchronized phasor measurements, minimizing investment costs. To demonstrate the efficiency of the proposed methodology, some of several test results of its application in the IEEE 30-bus and 57-bus systems will be presented. Some results will be compared to those obtained by other methodologies.

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Numerical observability method for optimal phasor measurement units placement using recursive Tabu search method

Cited by 149 publications

References 39 publications

A PMU Placement Scheme Considering Realistic Costs and Modern Trends in Relaying

A PMU Placement Scheme Considering Realistic Costs and Modern Trends in Relaying

Artificial Intelligence Versus Conventional Mathematical Techniques: A Review for Optimal Placement of Phasor Measurement Units

Metering system planning for state estimation via evolutionary algorithm and H<sup>T</sup><inf>Δ</inf> matrix considering SCADA and PMU measurements

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Numerical observability method for optimal phasor measurement units placement using recursive Tabu search method

Cited by 149 publications

References 39 publications

A PMU Placement Scheme Considering Realistic Costs and Modern Trends in Relaying

A PMU Placement Scheme Considering Realistic Costs and Modern Trends in Relaying

Artificial Intelligence Versus Conventional Mathematical Techniques: A Review for Optimal Placement of Phasor Measurement Units

Metering system planning for state estimation via evolutionary algorithm and H<sup>T</sup><inf>&#x0394;</inf> matrix considering SCADA and PMU measurements

Contact Info

Product

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About

Metering system planning for state estimation via evolutionary algorithm and H<sup>T</sup><inf>Δ</inf> matrix considering SCADA and PMU measurements