An improved model in optimal PMU placement considering sensitivity analysis

Makram, Elham B.; Zhao, Zheng; Girgis, A.A.

doi:10.1109/psce.2011.5772490

Cited by 7 publications

(9 citation statements)

References 6 publications

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“…Several solution methodologies have been proposed for the OPP problem, some of which are heuristic methods [8,9], while others utilize mathematical algorithms [10][11][12][13][14][15]. Some of the solutions went further to consider one grid characteristic or another, such as the presence of contingencies, and other occurrences which are capable of altering the network topology and changing the optimal solution or influencing the performance of the synchrophasor system deployed.…”

Section: Opp Methodsmentioning

confidence: 99%

Highlighting the Deficiencies in Some Existing Optimal PMU Placement Techniques

Oleka¹,

Sowells²,

Lebby³

2017

AJEEE

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Synchrophasor technology is receiving a global acceptance for electric power grid Wide Area Measurement System, (WAMS), an important function in a smart power transmission grid. A critical challenge in the synchrophasor technology deployment is the optimal choice of Phasor Measurement Unit (PMU) locations on the power grid. Researchers have proposed several techniques and algorithms in this respect. This work evaluated some of the major techniques and established that the available techniques and the factors they considered are not sufficient for a real-life optimal PMU placement (OPP). It also pointed to a method that could be applied to achieve a practical and robust solution for effective PMU placement for synchrophasor applications in a real-life electric power grid. It, therefore, calls for a shift in paradigm in the studies for the optimal PMU placement locations.

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Section: Opp Methodsmentioning

confidence: 99%

Highlighting the Deficiencies in Some Existing Optimal PMU Placement Techniques

Oleka¹,

Sowells²,

Lebby³

2017

AJEEE

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“…In addition to missing PMUs, the installation locations of available PMUs may also affect the performance of estimation and control. Many previous works have studied the optimal locations of PMUs [39]- [41]. Particularly, we follow a sensitivity analysis approach as in [41].…”

Section: B Impact Of Missing Pmus and Pmu Locationsmentioning

confidence: 99%

“…Many previous works have studied the optimal locations of PMUs [39]- [41]. Particularly, we follow a sensitivity analysis approach as in [41]. A sensitivity indicator is defined as the power flow rise ∆|S ij | at each transmission line i − j following a 25% load power increase ∆P at the dynamic load buses, i.e., ∆|Sij | ∆P .…”

Section: B Impact Of Missing Pmus and Pmu Locationsmentioning

confidence: 99%

An Online Network Model-Free Wide-Area Voltage Control Method Using PMUs

Pierrou

Wang

2021

IEEE Trans. Power Syst.

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This paper proposes a novel online measurementbased Wide-Area Voltage Control (WAVC) method using Phasor Measurement Unit (PMU) data in power systems with Flexible AC Transmission System (FACTS) devices. As opposed to previous WAVC methods, the proposed WAVC does not require any model knowledge or the participation of all buses and considers both active and reactive power perturbations. Specifically, the proposed WAVC method exploits the regression theorem of the Ornstein-Uhlenbeck process to estimate the sensitivity matrices through PMU data online, which are further used to design and apply the voltage regulation by updating the reference points of FACTS devices. Numerical results on the IEEE 39-Bus and IEEE 68-Bus systems demonstrate that the proposed model-free WAVC can provide effective voltage control in various network topologies, different combinations of voltage-controlled and voltage-uncontrolled buses, under measurement noise, and in case of missing PMUs. Particularly, the proposed WAVC algorithm may outperform the model-based WAVC when an undetected topology change happens.

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“…For instance of IEEE 14-bus system without considering zero injections, the minimum number of PMUs to ensure each bus observable is 4. However, there are 5 optimal solutions for placement with 4 PMUs [8]. When it comes to incomplete observability as in the beginning stages for incremental installations, even more optimal solutions may be encountered.…”

Section: Selection From Multiple Solutionsmentioning

confidence: 99%

“…In addition, a global optimization model based on binary integer programming is prevalently employed. As actually more than one solutions may exist for normal integer programming, an improved model using an iterative method is proposed to get the full set of optimal solutions [8]. Furthermore, since existing conventional measurements such as power flow and power injection measurements will still contribute for state estimation, it is more practical to incorporate PMUs with conventional measurements [9].…”

Section: Introductionmentioning

confidence: 99%

Optimal incremental placement of PMUs for power system observability

Wang¹,

Zhang

2012

2012 IEEE Power and Energy Society General Meeting

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This paper presents a series of optimization models for Phasor Measurement Unit (PMU) placement with new considerations. Extended from the formulations based on integer linear programming, issues concerning uncertainty propagation are discussed and an improved model is proposed to alleviate the impact. Furthermore, as it is more valuable in practice with incrementally placing PMUs, a multistage installation framework based on dynamic programming is developed. With a novel index introduced, the presented framework is implemented with uncertainty propagation controlled in a certain level for each stage. Unlike other available approaches, when processing the immediate stage in this paper, current and future installations are simultaneously considered rather than just making decisions from fixed PMU locations. Minimum number of PMUs is guaranteed meanwhile with each installation. In addition, a postprocessing optimization for selection from multiple solutions in integer programming models is also presented. The proposed models are tested in IEEE 14-, 30-, 57-and 118-bus systems. With the results analyzed and discussed, it indicates the improved model can limit the uncertainty propagation in a fixed level, and the proposed multistage framework could be employed as a practical strategy for PMU placement planning.

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An improved model in optimal PMU placement considering sensitivity analysis

Cited by 7 publications

References 6 publications

Highlighting the Deficiencies in Some Existing Optimal PMU Placement Techniques

Highlighting the Deficiencies in Some Existing Optimal PMU Placement Techniques

An Online Network Model-Free Wide-Area Voltage Control Method Using PMUs

Optimal incremental placement of PMUs for power system observability

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