Ranking of phasor measurement units based on control strategy for small-signal stability

Summary This paper presents a regional backup protection algorithm based on the adaptive current protection suiting factor, which can be applied to power system with regional centralized backup protection. First, the influence of the adaptive current protection operation status on fault identification is defined as the adaptive current protection effectiveness degree. Second, the effectiveness degree is used as the weight for the adaptive current protection suiting degree function and suiting degree expectation function. Then, the fault line is identified according to the value of the adaptive current protection suiting factor, which is defined as the ratio of the adaptive current protection suiting degree function to the suiting degree expectation function. In the proposed algorithm, the adaptive current protection criterion is introduced; thus, it can be applied to lines with voltage level of 110 kV or lower. The proposed algorithm provides regional backup protection with a more reliable information source and makes it adaptable to the variation in system operation mode and fault type. Furthermore, the demand on system information synchronization is relatively low. Even when a large number of digits in the current protection operation information are missing or wrong, the proposed algorithm is still able to identify the fault correctly, and the method is proved highly fault tolerant. Finally, simulation tests verify the correctness and effectiveness of proposed algorithm.

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel algorithm of regional backup protection using adaptive current protection suiting factor

Xiang

Kang

et al. 2017

“…Local modes, in the other hand, are localized in small regions of the system (local to a generator and to the buses connected to this generator), which make an optimal placement of PMUs through the network a critical issue. PMUs optimal placement problem considering dynamic system stability behavior is presented in previous works . The methodology presented in these papers is not systematic, cannot be extended to other networks easily, and does not take into consideration the eventuality of a loss of a PMU signal or the topology changes due to lines tripping.…”

Section: Introductionmentioning

confidence: 99%

“…PMUs optimal placement problem considering dynamic system stability behavior is presented in previous works. 19,42,43 The methodology presented in these papers is not systematic, cannot be extended to other networks easily, and does not take into consideration the eventuality of a loss of a PMU signal or the topology changes due to lines tripping.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective optimal PMUs placement for online assessment of small‐signal stability

Tarif

Amrane

Chabane

2019

Summary The current paper presents a multi‐objective approach for the optimal placement of phasor measurement units (PMUs) for small‐signal stability assessment of a power system. The proposed methodology is based on a multi‐signal Prony analysis of the voltage amplitude, voltage angle, and frequency signals measured by the PMUs. A Pareto Archive Differential Evolution (PADE) algorithm is used to determine the best location of PMUs minimizing the PMUs number and maximizing the signal‐to‐noise ratio (SNR) subject to full system constraints. The capability of the proposed approach has been demonstrated through several cases studies, where it gives an accurate estimation of electromechanical modes when confronted with modal analysis under various scenarios, disturbances, and measurement noise. Additionally, the PADE algorithm is compared with nondominated sorting approach (NSGA)‐III, multi‐objective differential evolution (MODE), and multi‐objective particle swarm optimization (MOPSO) algorithms, and the superiority of PADE algorithm for solving the optimal PMUs placement (OPP) problem is demonstrated.

“…Stability criterion in Kumar et al, security criterion based on N − k redundancy in Nikkhah et al, observability during cascaded outages, and observability under various contingencies have been the objective function of several OPPs. Moreover, some advantages of PMUs in controlling the system in contingencies are investigated in the literature …”

Section: Introductionmentioning

confidence: 99%

How optimal PMU placement can mitigate cascading outages blackouts?

Karimi

Ebrahimi

Tavakoli

2019

Summary The conventional optimal PMU placement (OPP) methods minimize the number of PMUs along with guarantying full observability of the system. However, various OPP schemes with the same number of PMUs obtained for a power system have different performances in emergency conditions. Cascading outages as the major cause of recent large blackouts cancel out full observability of the system and decrease situational awareness. In this paper, the OPA model previously developed to simulate power system blackouts is modified in order to include observability analysis through the progress of the cascading outages. The modified process is performed in turn for a given set of OPP schemes. To rank these schemes, a criterion is proposed as a monetary value using produced data by the modified OPA model. Scalability of the proposed procedure is investigated in two test systems. Simulations show that although considering N‐1 criterion in finding optimal PMU schemes decreases the consequences of transmission line cascading outages, it is not financially reasonable and does not lead to better performance of the OPP scheme. In other words, it is better to use OPP schemes in normal condition.