Optimal PMU placement for power system observability using BICA, considering measurement redundancy

Mahari, Arash; Seyedi, Heresh

doi:10.1016/j.epsr.2013.04.013

Cited by 81 publications

(56 citation statements)

References 19 publications

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“…In this table, these results also compare with four other references. As seen with the 14-bus system, the OSI values of [6,11,13,24] are only 0.71 and 0.86 while it is 0.91 for proposed method; with the 30 bus and 57 bus systems, they are 0.93 and 0.95. Although the main purpose of [13] is to maximize the values of OSI, its value is not much higher than the value of proposed method; it is even lower in the case of the IEEE 14 bus system.…”

Section: Simulations and Resultsmentioning

confidence: 86%

“…The average value of OSI is 0.91 with the 14-bus system and is 0.95 with the 57-bus system. Table 7 presents the results of simulation on the IEEE 30-bus system that were analyzed in [6,11,13,24]. All methods ensure complete system observability with the total cost is approximately 21500 ($).…”

Section: Simulations and Resultsmentioning

confidence: 99%

“…Except [13] has no redundancy, refs. [6,11,24] have seven redundant buses; however, buses 18 and 20 are not important. The proposed method also have seven redundancies; these buses are all important.…”

Section: Simulations and Resultsmentioning

confidence: 99%

“…Similarly, Table 8 shows the results of simulation on IEEE 57 bus system. In [11,24], the optimal number of PMUs is 11 that still ensures full network observation; the total cost is 31000 ($), but the number of redundancies is only 2. In [6], the number of redundancies is 5; however, the cost increases to 35500 ($).…”

Section: Simulations and Resultsmentioning

confidence: 99%

“…References [1][2][3][4][5][6][7][8][9][10][11][24][25][26] accounted PMUs at every bus are the same cost, so the objective function of the minimum cost of PMUs corresponds to the minimum number of PMUs. However given the fact that, the cost corresponding to different PMUs are different due to the number of channels of each bus is not the same.…”

Section: Object Function For Full Network Observabilitymentioning

confidence: 99%

See 4 more Smart Citations

Optimal Placement of Phasor Measurement Unit for Observation Reliability Enhancement

Tran¹,

Zhang²,

Nguyen³

2017

Journal of Electrical Engineering and Technology

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-Phasor Measurement Unit (PMU) placement is a crucial problem for State Estimation (SE) of the power system, which can ensure that the power network is fully observed. Further, the observation reliability problem of the system has been concerned in the operation conditions. In this paper, based on modified weighted adjacent matrix (A w ), an optimal placement method is proposed to solve simultaneously two problems involving the optimal PMU placement problem and the observation reliability enhancement problem of the system. The purpose of the proposed method is to achieve both the minimum total cost and the maximum observation reliability, with a focus on increasing the security of observability, strengthening the observation reliability of buses as well as enhancing the effectiveness of redundancy. Simulations on IEEE 14, 24, 30 and 57 bus test systems are presented to justify the methodology. The results of this study show that the proposed method is not only ensuring the power network having the observability effectively but also enhancing significantly the observation reliability. Therefore, it can be a useful tool for SE of the power system.

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Section: Simulations and Resultsmentioning

confidence: 86%

Section: Simulations and Resultsmentioning

confidence: 99%

Section: Simulations and Resultsmentioning

confidence: 99%

Section: Simulations and Resultsmentioning

confidence: 99%

Section: Object Function For Full Network Observabilitymentioning

confidence: 99%

See 3 more Smart Citations

Optimal Placement of Phasor Measurement Unit for Observation Reliability Enhancement

Tran¹,

Zhang²,

Nguyen³

2017

Journal of Electrical Engineering and Technology

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Economical placement of PMUs considering observability and voltage stability using binary coded ant lion optimization

Manoharan

Subramanian

Ganesan³

et al. 2018

Int Trans Electr Energ Syst

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Summary Phasor measurement unit (PMU) plays a key role in concurrent power system state estimation and security enhancement processes. Considering the cost of PMU as an important concern, confined number of PMUs is located at hazardous locations for power system observability. The PMU placements can be explored further for various power system operational studies. One promising indicator is that not only the PMUs should be informative, but also they should be able to perceive the voltage stability levels under critical loading conditions. In topical eons the role of voltage stability is essential which causes severe difficulty. Regrettably, this results in enhancement and impractical vision because of same cost of consumption of PMUs. It is sufficient to reduce the deployment cost provided that the factors such as reliability of the measurement system, observability can be certain for effective placement of PMUs. In line with the above concern, to solve the problem efficiently, a realistic multiobjective model that includes 3 objectives such as (1) system observability with minimum number of PMUs, (2) envisaging the communication cost involved in these placements, and (3) enhancing the voltage stability levels of the system is proposed. The developed model is solved as a nonlinear and constrained optimization problem in multiobjective framework. The binary coding scheme is conventionally preferred for solving PMU placement problem, hence, binary‐coded ant lion optimizer has been developed and is applied for the first time to solve the developed multiobjective PMU placement model. The standard IEEE test systems (14 bus, 30 bus, and 57 bus systems) and a large scale system containing 2383 buses are used to ratify the proposed model and the envisioned optimization tool. Numerical outcome specifies that binary‐coded ant lion optimizer is robust and effective in finding the best compromise solution.

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Allocation of phasor measurement unit using an admissible searching‐based algorithm A‐star and binary search tree for full interconnected power network observability

Babu¹,

Raj

Vijaychandra³

et al. 2021

Optim Control Appl Methods

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In this research work, an admissible searching-based algorithm A-star and binary search tree is proposed to unravel the optimal phasor measurement unit (PMU) placement problem (OPPP) for achieving full interconnected power network observability considering contingencies. The proposed method is an advanced version of the best-first search method that finds minuscule paths to the best solution. Moreover, it is an optimal and complete search method.Optimal signifies that the proposed method is guaranteed to unravel the minimum cost from origin to the terminus point and Complete denotes that it is going to determine all the possible paths that are available to us from the origin to the destination. The binary tree is used for this purpose as its structural design is well-matched with the proposed method. Integrating an A-star algorithm and binary search tree enhances the optimization and performance toward unraveling the OPPP. Also, for more than one solution of OPPP, redundancy measurement is taken into consideration. The proposed method is applied on standard IEEE-14, -30, -118, New England-39, and northern regional power grid (NRPG) 246-bus test systems. Furthermore, to check the scalability of the proposed method, the Polish 2383-bus system is considered. The obtained experimental results were compared to established procedures published in peer-reviewed journals, and the proposed methodology outperformed the other comparison approaches. Thus, the proposed method successfully accomplishes complete observability of the power networks.

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Optimal PMU placement for power system observability using BICA, considering measurement redundancy

Cited by 81 publications

References 19 publications

Optimal Placement of Phasor Measurement Unit for Observation Reliability Enhancement

Optimal Placement of Phasor Measurement Unit for Observation Reliability Enhancement

Economical placement of PMUs considering observability and voltage stability using binary coded ant lion optimization

Allocation of phasor measurement unit using an admissible searching‐based algorithm A‐star and binary search tree for full interconnected power network observability

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