A multi-objective placement of phasor measurement units using fuzzified artificial bee colony algorithm, considering system observability and voltage stability

Jeyaraj, K. Arul; Rajasekaran, V.; Kumar, S.K. Nandha; Chandrasekaran, K.

doi:10.1080/0952813x.2015.1020520

Cited by 14 publications

(11 citation statements)

References 33 publications

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“…The ABC algorithm is based on the intelligent foraging behavior of a group of honeybees. ArulJeyaraj et al [113] proposed multi-objective OPP for CNO and maximizing voltage stability. A fuzzified binary ABC algorithm was used due to the conflicting nature of objective functions.…”

Section: Artificial Bee Colony Based (Abc) Oppmentioning

confidence: 99%

A Critical Review of State-of-the-Art Optimal PMU Placement Techniques

et al. 2022

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Phasor measurement unit (PMU) technology is a need of the power system due to its better resolution than conventional estimation devices used for wide-area monitoring. PMUs can provide synchronized phasor and magnitude of voltage and current measurements for state estimation of the power system to prevent blackouts. The drawbacks of a PMU are the high cost of the device and its installation. The main aspect of using PMUs in electrical networks is the property to observe the adjacent buses, thereby making it possible to observe the system with fewer PMUs than the number of buses through their optimal placement. In the last two decades, exhaustive research has been done on this issue. Considering the importance of this field, a comprehensive review of the progress achieved until now is carried out and the limitations of existing reviews in the literature are highlighted. This paper can be seen as a major attempt to provide an up-to-date review of the research work carried out in this all-important field of PMU placement and indicates that some perspectives of optimal PMU placement still need attention. Eventually, the work will open a new standpoint for the research community to fill the research gap.

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Section: Artificial Bee Colony Based (Abc) Oppmentioning

confidence: 99%

A Critical Review of State-of-the-Art Optimal PMU Placement Techniques

et al. 2022

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“…Modified binary cuckoo optimization algorithm has been projected for solving PMU placement problem by considering the objectives of minimization of PMUs and maximization of redundancy simultaneously. Multiobjective PMU placement problem is solved using fuzzified ABC algorithm to enhance observability and voltage stability levels of the system concurrently. Also, hybrid Taguchi binary bat algorithm has been proposed to obtain solutions for PMU placement problem.…”

Section: Introductionmentioning

confidence: 99%

“…For analyzing the voltage stability, considerable efforts have been perceived over several years, since it is one of the major concerns in power systems to avert the outage of weak bus. Taking the aforementioned concern, voltage stability function is incorporated in PMU placement problem . However, the objective of minimizing the cost of PMUs along with improvement in reliability of the measurement system and maximizing the system observability redundancy index (SORI) for the weak bus is not examined …”

Section: Introductionmentioning

confidence: 99%

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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“…The concept of observability reliability, which is associated with failures of PMUs and transmission branches, was presented in [6]. Many optimal methods were presented for PMUs placement [7][8][9][10][11][12][13]. A genetic algorithm-based approach for solving optimal PMUs placement problem is proposed in [7].…”

Section: Introductionmentioning

confidence: 99%

“…A non-linear programming-based model for the optimal PMUs placement is given in [12]. Multi-objective PMUs placement to enhance the performance of network monitoring and control is discussed in [13]. Some research work has been undertaken on PMUs placement for dynamic SE of the power system.…”

Section: Introductionmentioning

confidence: 99%