Reliability‐based phasor measurement unit placement in power systems considering transmission line outages and channel limits

Gómez, Óscar; Ríos, Mario Alberto Gaviria; Anders, G.J.

doi:10.1049/iet-gtd.2013.0251

Cited by 51 publications

(38 citation statements)

References 34 publications

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“…WAMS collects data from PMU installed in the power system and then based on online data the power system status is assessed. To be implemented in a real power system, the sufficient number of PMU with its communication support should be installed in power system as presented in [5], [6]. Every time period (for example every 20 minutes), the data from PMU is calculated for this application with contingency selection is determined by TSO.…”

Section: Discussionmentioning

confidence: 99%

“…System operators should select the adequate number of contingencies, considering their occurrence probability (called risk-based contingency selection in this paper). The proposed method implements the risk-based N-1 line contingency selection as an optimization problem formulated as follow [5], [16].…”

Section: B Risk-based N-1 Contingency Selectionmentioning

confidence: 99%

“…WAMS is based on data collected from Phasor Measurement Units (PMU) installed in power system. In order to construct the effective WAMS, sufficient number of PMU in a power system should be installed considering line contingencies, zero injection bus (ZIB) effect channel limits and voltage stability consideration as presented in [5], [6].…”

Section: Introductionmentioning

confidence: 99%

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Risk-based voltage stability monitoring and preventive control using wide area monitoring system

Putranto

Hara

Kita

et al. 2015

2015 IEEE Eindhoven PowerTech

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nowadays, power system tends to be operated in heavily stressed load, which can cause voltage stability problem. Moreover, occurrence probability of contingency is increasing due to growth of power system size and complexity. This paper proposes a new preventive control scheme based on voltage stability and security monitoring by means of wide area monitoring systems (WAMS). The proposed control scheme ensures voltage stability under major N-1 line contingencies, which are selected from all possible N-1 contingencies considering their occurrence probability and/or causing load curtailment. Some cases based on IEEE 57-bus test system are used to demonstrate the effectiveness of the proposed method. The demonstration results show that the proposed method can provide important contribution in improving voltage stability and security performance.

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Section: Discussionmentioning

confidence: 99%

Section: B Risk-based N-1 Contingency Selectionmentioning

confidence: 99%

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Risk-based voltage stability monitoring and preventive control using wide area monitoring system

Putranto

Hara

Kita

et al. 2015

2015 IEEE Eindhoven PowerTech

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“…; at the same time, research was conducted on the improvement of the reliability and accuracy of state estimation. As regards the improvement of state estimation reliability in PMU networks, there are studies on redundant PMU placement to handle omissions in observed data because of PMU failures and single line outages . However, the accuracy of actual state estimation calculations is not taken into account when maximizing reliability indices, while PMU placement cost increases due to redundancy, which is not a workable solution.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy

Matsukawa

Watanabe

Mitani

et al. 2019

Electrical Engineering Japan

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The optimal phasor measurement unit (PMU) placement problem in power systems has been considered and investigated by many researchers for accurate and fast state estimation by PMUs. However, the current channel cost of the PMU affects the total placement cost. This paper proposes a novel formulation in the multi‐objective optimal PMU placement, which minimizes the PMU placement cost with the current channel selection and the state estimation error. The current channel selection is represented as a decision variable in the optimization. For trade‐off objective functions, the Pareto approach by nondominated sorting genetic algorithm II (NSGA‐II) is applied in the optimization. The result of the numerical experiment in this paper demonstrates the advantage of considering the appropriate PMU current channel allocation, compared with the conventional method that ignores it, in the modified IEEE New England 39‐bus test system. As a result, the proposed method obtained a better Pareto solution compared with the conventional one because of the consideration for the current channel selection. An advantage of the proposed PMU placement is that it is able to reduce the total PMU placement cost while maintaining the state estimation accuracy.

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“…Reliability-based PMU placement techniques for achieving a desired level of reliability, while satisfying full observability, have been recently developed [9], [10]. Two reliability indices, loss of data expectation (LODE) and observability reliability (OR) are suggested in [10] to quantify the observability reliability of power systems associated with PMU and transmission branch outages.…”

Section: Introductionmentioning

confidence: 99%

Observability reliability evaluation in power systems considering data uncertainty

Khalafi

Dehghani

Goel

et al. 2015

2015 IEEE Eindhoven PowerTech

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In this paper, observability reliability (OR) and loss of data expectation indices (LODE) are calculated considering data uncertainty. Single contingency of Phasor Measurement Unit (PMU) and branch outages are considered in the calculations and to achieve more realistic results, it is assumed that failure data (repair time and failure rate) of all branches and PMU components have uncertainty. Fuzzy set theory is used to deal with data uncertainty. A fuzzy Monte Carlo Simulation approach is proposed to calculate OR and LODE indices in the presence of uncertainty. The proposed method can be used to determine the most reliable PMU placement among the multiple optimal solutions. The IEEE 14-bus system is used to evaluate the effectiveness of the proposed method.

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Reliability‐based phasor measurement unit placement in power systems considering transmission line outages and channel limits

Cited by 51 publications

References 34 publications

Risk-based voltage stability monitoring and preventive control using wide area monitoring system

Risk-based voltage stability monitoring and preventive control using wide area monitoring system

Multi‐objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy

Observability reliability evaluation in power systems considering data uncertainty

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