A Binary Harmony Search Algorithm Approach for Security Constrained Allocation of PMUs to Obtain Complete Observability

Ravindra, M.; Rao, R. Srinivasa; NagaRaju, Vonteddu Shanmukha

doi:10.1007/978-981-13-8618-3_4

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…e performance of ABHSA was tested on both lowand high-dimensional knapsack problems. Ravindra et al [41] developed a BHSA for optimal deployment of phasor measurement units. Lin and Li [42] designed a hybrid BHSA to solve winner determination problem.…”

Section: Binary Hsamentioning

confidence: 99%

A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications

Dubey

Kumar

Kaur

et al. 2021

Mathematical Problems in Engineering

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Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the behavior of a musician producing a perfect harmony. It has been used to solve the wide variety of real-life optimization problems due to its easy implementation over other metaheuristics. It has an ability to provide the balance between exploration and exploitation during search. In this paper, a systematic review on harmony search algorithm (HSA) is presented. The natural inspiration and conceptual framework of HSA are discussed. The control parameters of HSA are described with their mathematical foundation. The improvement and hybridization in HSA with other metaheuristics are discussed in detail. The applicability of HSA in different problem domains is studied. The future research directions of HSA are also investigated.

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Section: Binary Hsamentioning

confidence: 99%

A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications

Dubey

Kumar

Kaur

et al. 2021

Mathematical Problems in Engineering

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“…Authors in [6] solve the OPP problem with binary particle swarm (BPSO) algorithm by considering the measurement contingencies such as line outage or PMU failure. Authors in [7] solve the OPP problem with the objective of maximizing the observability via binary harmony search algorithm (BHSA).…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective PMU Allocation for Resilient Power System Monitoring

Haggi

Sun

2020

2020 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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Phasor measurement units (PMUs) enable better system monitoring and security enhancement in smart grids. In order to enhance power system resilience against outages and blackouts caused by extreme weather events or man-made attacks, it remains a major challenge to determine the optimal number and location of PMUs. In this paper, a multi-objective resilient PMU placement (MORPP) problem is formulated, and solved by a modified Teaching-Learning-Based Optimization (MO-TLBO) algorithm. Three objectives are considered in the MORPP problem, minimizing the number of PMUs, maximizing the system observability, and minimizing the voltage stability index. The effectiveness of the proposed method is validated through testing on IEEE 14-bus, 30-bus, and 118-bus test systems. The advantage of the MO-TLBO-based MORPP is demonstrated through the comparison with other methods in the literature, in terms of iteration number, optimality and time of convergence.

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“…In [30], OPP employing TLBO is suggested to accomplish complete observability. In [31], the author proposed a binary harmony search algorithm (BHSA) for OPP to minimize installation cost of PMU without losing complete observability. In [32], the author proposed minimum connectivity-based reduction (MCBR) technique which is proposed for deployment of PMUs to accomplish complete observability.…”

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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A Binary Harmony Search Algorithm Approach for Security Constrained Allocation of PMUs to Obtain Complete Observability

Cited by 9 publications

References 11 publications

A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications

A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications

Multi-Objective PMU Allocation for Resilient Power System Monitoring

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

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