Joint Placement of Phasor and Power Flow Measurements for Observability of Power Systems

Kavasseri, Rajesh G.; Srinivasan, Sudarshan K.

doi:10.1109/tpwrs.2011.2130544

Cited by 83 publications

(44 citation statements)

References 18 publications

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“…It should be noted that the obtained results are equal to the optimal number reported in the available literatures (Baldwin, Mili, Boisen, & Adapa, 1993;Chakrabarti & Kyriakides, 2008;Dua, Dambhare, Gajbhiye, & Soman, 2006;Kavasseri & Srinivasan, 2011;Xu & Abur, 2004;Xu, Yoon, & Abur, 2005). It justifies that proposed ABC algorithm can be able to produce a better quality solution for solving the SOPP problem.…”

Section: Case 1-single Objective Opp Problemsupporting

confidence: 70%

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

Jeyaraj

Rajasekaran

Kumar

et al. 2015

Journal of Experimental & Theoretical Artificial Intelligen

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This paper presents Multi-objective Optimal Placement of Phasor measurement units (MOPP) to improve the performance of power system monitoring and control. It is proposed for achieving complete observability with a minimal number of phasor measurement units (PMUs) and maximising the voltage stability level of the system, simultaneously. As the above mentioned objectives are conflicting in nature, a fuzzified binary artificial bee colony algorithm is considered to solve the MOPP problem to offer a good tradeoff solution between the competing objectives. Here, fuzzy membership for each objective function is designed and proposed to decide the best solution of MOPP problem. Initially, weak buses are identified using the fast voltage stability index calculation for their close and reliable monitoring. This is done in order to prevent the outage of these buses. The conventional rule is used to minimise the number of PMUs and a new rule is proposed to maximise both the observability and voltage stability levels of the system. The efficiency of the artificial bee colony method is validated on IEEE 14, 30 and 57 bus test systems and it is verified by comparing the performance of proposed method with earlier works.

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Section: Case 1-single Objective Opp Problemsupporting

confidence: 70%

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

Jeyaraj

Rajasekaran

Kumar

et al. 2015

Journal of Experimental & Theoretical Artificial Intelligen

View full text Add to dashboard Cite

show abstract

“…It should be noted that the obtained results are equal to the optimal number reported in the available literatures in [10,11,20,28,29] but proposed method has higher measurement redundancy.…”

Section: Comparative Analysissupporting

confidence: 57%

A Multi-objective Placement of Phasor Measurement Units Considering Observability and Measurement Redundancy using Firefly Algorithm

Jeyaraj¹,

Rajasekaran²,

Kumar³

et al. 2015

Journal of Electrical Engineering and Technology

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-This paper proposes a multi-objective optimal placement method of Phasor Measurement Units (PMUs) in large electric transmission systems. It is proposed for minimizing the number of PMUs for complete system observability and maximizing measurement redundancy of the buses, simultaneously. The measurement redundancy of the bus indicates that number of times a bus is able to monitor more than once by PMUs set. A high level of measurement redundancy can maximize the system observability and it is required for a reliable power system state estimation. Therefore, simultaneous optimizations of the two conflicting objectives are performed using a binary coded firefly algorithm. The complete observability of the power system is first prepared and then, single line loss contingency condition is added to the main model. The practical measurement limitation of PMUs is also considered. The efficiency of the proposed method is validated on IEEE 14, 30, 57 and 118 bus test systems and a real and large-scale Polish 2383 bus system. The valuable approach of firefly algorithm is demonstrated in finding the optimal number of PMUs and their locations by comparing its performance with earlier works.

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“…Based on the cri- terion used to identify the optimal locations, the algorithms can be broadly classified as: 1) approaches based on topological aspects; 2) approaches based on system aspects. Approaches Based on Topological Aspects: Among the various criteria available for identification of optimal locations to deploy the PMUs, early researchers employed the network observability criterion [10]- [19]. Based on this criterion, an approach to determine the optimal locations considering the presence of DC lines is proposed in [20].…”

Section: Introductionmentioning

confidence: 99%

Approach for Multistage Placement of Phasor Measurement Units Based on Stability Criteria

Kumar

Thukaram

2016

IEEE Trans. Power Syst.

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Identification of optimal locations to deploy the phasor measurement units (PMUs) is a preliminary task in wide area monitoring and control of power systems. Given the cost and other associated restrictions, it is highly unlikely for any utility to install all the required number of PMUs to ensure the complete observability of the network. This necessitates judicious identification of locations in the network to deploy the PMUs. Ideally, the choice of location must depend on the intended purpose. In this paper, an approach for placement of PMUs considering both the stability and topological aspects is presented. First, a probabilistic framework based on proximity to instability is proposed to rank the generators/load buses in the order of vulnerability. Subsequently, a binary integer linear programming formulation is proposed to identify the optimal locations considering both stability and topological aspects. The optimal locations obtained using the proposed approach ensures a priori observability of most vulnerable buses in addition to enhancing the network observability. Results on IEEE 39-bus system and 246-bus equivalent system of Indian southern grid are presented to illustrate the proposed approach.Index Terms-Observability, phasor measurement units, transient stability, voltage stability, vulnerability.

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Joint Placement of Phasor and Power Flow Measurements for Observability of Power Systems

Cited by 83 publications

References 18 publications

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

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

A Multi-objective Placement of Phasor Measurement Units Considering Observability and Measurement Redundancy using Firefly Algorithm

Approach for Multistage Placement of Phasor Measurement Units Based on Stability Criteria

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