Multi-Objective PMU Allocation for Resilient Power System Monitoring

Haggi, Hamed; Sun, Wei; Qi, Junjian

doi:10.1109/pesgm41954.2020.9281963

Cited by 10 publications

(10 citation statements)

References 23 publications

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“…Multi-objective issues have multiple goals, which are mostly contradictory. The answer to these problems is a set of solutions called Pareto optimal solutions [44]. This set includes Pareto optimal solutions that represent the best balance between the objectives.…”

Section: Htlbogwo (Tlrbo) Multi-objective Algorithmmentioning

confidence: 99%

Multi-Objective TLBO and GWO-based Optimization for Placement of Renewable Energy Resources in Distribution System

KC¹,

Alkhwaildi²

2021

CRPASE

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The use of renewable solar and wind resources as distributed generation sources in distribution networks has been welcomed by network operators. In order to exploit the maximum benefits of using these distributed products, the location of installation and their capacity should be determined optimally in the distribution network. In this paper, in order to optimize the placement of solar panels and wind turbines in the distribution network with the aim of reducing losses and improving reliability based on Energy Not Supplied subscribers (ENS), a multi-objective evolutionary algorithm based on fuzzy decision method, called the Multi-Objective Hybrid Training Learning Based Optimization-Grey Wolf Optimizer (MOHTLBOGWO) proposed that has a High optimization speed and not trapped at all in the optimal local. At first, the candidate buses are set for the installation of renewable resources using the Loss Sensitivity Factor (LSF). Then the proposed method is used to determine the location and optimal capacity of renewable resources through the candidate bases. Proposed issues have been implemented in a single-objective and multiobjective manner on a 33 bus IEEE radial distribution network. Also, in this paper, the effect of distributing renewable resources on the characteristics of the distribution network is evaluated. The results obtained from the proposed algorithm are compared with the results of other algorithms to demonstrate the superiority of the proposed method in reducing losses, improving reliability, and increasing the financial profit of the network. Simulation results show the better performance of the proposed method in comparison with Teaching-Learning Based Optimization (TLBO) and Grey Wolf Optimiser (GWO) methods and past studies to achieve optimal results. Also, the results show that distributing of the capacity and location of distributed renewable generation leads to a further reduction in losses and a better improvement of the reliability criterion.

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Section: Htlbogwo (Tlrbo) Multi-objective Algorithmmentioning

confidence: 99%

Multi-Objective TLBO and GWO-based Optimization for Placement of Renewable Energy Resources in Distribution System

KC¹,

Alkhwaildi²

2021

CRPASE

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“…For example, many home appliances are damaged by these annual disturbances. As a result, identifying, monitoring, and controlling these disturbances with phasor measurement units (PMUs) can prevent significant damages [5]. Although the voltage stability, in the industry has been discussed for several years, there are still no standardized definitions in some areas.…”

Section: Introductionmentioning

confidence: 99%

“…Although the voltage stability, in the industry has been discussed for several years, there are still no standardized definitions in some areas. According to the IEEE1159 standard, power quality disturbances are classified into seven groups: transients [6], long-term voltage changes, short-term voltage changes [5], waveform distortions, voltage imbalances, flicker, and frequency changes, each of which in turn follows Branches are divided [7].…”

Section: Introductionmentioning

confidence: 99%

Detecting and Locating Power Quality Issues by Implementing Wavelet Transform

Asadi¹,

Harikandeh²,

Hamzenia³

2021

IJSEA

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Lack of power quality imposes many costs on large and small consumers every year. Therefore, considering the importance of power quality in today's industries, this article examines the issue of detection and location of various power quality issues. DWT discrete wavelet transform is investigated in this paper. The signals under the perturbations are written to the field and the start and end times of the perturbation are obtained and compared with the real time, and the accuracy of the measurements is confirmed by repetitions.

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“…For this reason, different scenarios are considered, such as the impact of zero injection bus, line and PMU outage, etc. to completely address the PMU allocation problem which is discussed thoroughly in [23].…”

Section: Introductionmentioning

confidence: 99%

Mitigating the Impact of Distributed Generations on Relay Coordination Using Fault Current Limiters

Ansari¹,

Ansari²

2021

CRPASE

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The use of distributed generation resources, in addition to considerable benefits, causes some problems in the power system. One of the most critical problems in the case of disruption is increasing short-circuit current level in grids, which leads to change the protection devices settings in the downstream and upstream grid. By using fault current limiters (FCL), short-circuit currents in grids with distributed generation can be reduced to acceptable levels, so there is no needed to change the protection relays settings of the downstream grid (including distributed generations). However, by locating the FCL in the tie-feeder, the downstream grid is not more effective than the upstream grid and thus its reliability indices also will be changed. Therefore, this paper shows that by locating the unidirectional fault current limiter (UFCL) in the tie-feeder, the necessity of changing in the relay protection settings of upstream grids is prevented. In this paper, the proposed method is implemented, and its efficiency is reported in six scenarios.

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Multi-Objective PMU Allocation for Resilient Power System Monitoring

Cited by 10 publications

References 23 publications

Multi-Objective TLBO and GWO-based Optimization for Placement of Renewable Energy Resources in Distribution System

Multi-Objective TLBO and GWO-based Optimization for Placement of Renewable Energy Resources in Distribution System

Detecting and Locating Power Quality Issues by Implementing Wavelet Transform

Mitigating the Impact of Distributed Generations on Relay Coordination Using Fault Current Limiters

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