Distributed Generation Islanding Effect on Distribution Networks and End User Loads Using the Load Sharing Islanding Method

Kreishan, Maen Z.; Fotis, Georgios; Vita, Vasiliki; Ekonomou, Lambros

doi:10.3390/en9110956

Cited by 23 publications

(16 citation statements)

References 30 publications

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“…In (1) and (2), x i is the ith component of x. Since this condition can be better realised geometrically, the condition of linear separability can also be stated as.…”

Section: Computational Geometry-based Feature Extraction Methodology mentioning

confidence: 99%

“…Moreover, such active distribution networks also face the common and frequent grid‐end disturbances which when compounded with these characteristic complex and non‐linear behaviours may have potentially severe impacts on the network integrity in the form of uniquely abnormal events. Unintentional islanding has been identified as one such event by distribution network operators which poses a big challenge in integration of DGs and is a serious protection issue [2]. This is also evident from the results of a survey published in [3] wherein 50% of the responding distribution companies agreed on unintentional islanding as their biggest concern regarding interfacing their networks with solar PV generation.…”

Section: Introductionmentioning

confidence: 99%

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Computational geometry‐based methodology for identification of potential islanding initiators in high solar PV penetration distribution feeders

Vyas

Kumar

2018

IET Renewable Power Generation

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Accidental disconnection of a live feeder section is a major concern accompanying large distributed solar photovoltaic (PV) generation integration. High localised penetration can alter power flows leading to anomalous occurrences. Load-inverter power balance during grid-side disturbances, for different load models, may cause unique situations that can trigger the interconnection point protective devices. One such phenomenon, identified as a potential cause of unintentional islanding on radial feeder models (a modified IEEE feeder in simulation and verified on a laboratory-hardware network), has been used in this work. A pre-emptive detection strategy has been implemented to identify such islanding initiators among other power system transients. Computational geometry concepts have been utilised to create an optimisation-derived feature extraction methodology for effective training of a classifier module realised in a Raspberry Pi microcomputer. This module predicts the class labels of test data points transmitted from simulations carried on a personal computer for the feeder model. The proposed pre-emptive islanding detection strategy can trigger an appropriate change in a PV inverter's operating mode before a feeder protective device is tripped by such island initiating anomalies. The online classification accuracy and speed indicate a possible integration of the proposed methodology and strategy with the inverter's control circuitry.

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“…In (1) and (2), x i is the ith component of x. Since this condition can be better realised geometrically, the condition of linear separability can also be stated as.…”

Section: Computational Geometry-based Feature Extraction Methodology mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computational geometry‐based methodology for identification of potential islanding initiators in high solar PV penetration distribution feeders

Vyas

Kumar

2018

IET Renewable Power Generation

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“…These reasons are promoting the use of RES to produce electricity [4]. As the RES-based power plant is situated close to the load center, the transmission and distribution losses are minimal [5]. It is imperative to create suitable policies to employ RES for electricity generation, which will positively impact the Indian economy, and the dependency on fossil fuels will reduce with time [6].…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Optimization of an Off-Grid Hybrid Power Generation for SRM IST, Delhi-NCR Campus

et al. 2022

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The limited availability of fossil fuels such as coal and increasing air pollution levels due to the burning of coal have pushed the trend of generating electricity from fossil fuels to generating it from locally available renewable resources. It is expected that the cost of electricity will decrease when locally available renewable resources are used. In this paper, it was proposed to commission a solar PV system in a part of an academic building of SRM IST University. The present study is an effort in-line with many initiatives taken up by the Indian Government. The performance index of solar PV system was analyzed. Supporting data were obtained from the NASA PDAV tool and then techno-economical analysis was carried out on HOMER. The average performance ratio and capacity factor of the solar PV system were obtained as 64.49% and 14.90%, respectively. For the optimal configuration, the net present cost and the levelized cost of electricity are $639,981 and $0.34 per kWh, respectively. As per the estimation, there will be no air pollution due to the proposed configuration, whereas if only a diesel generator is commissioned, then 200,417 kg of carbon dioxide will be emitted annually.

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“…In [24] the impact of distributed generation in the distribution networks is considering voltage profile improvement and energy losses minimization is investigated, but the optimal power sharing is not achieved. In [25] the islanding effect on distribution networks and end user loads in presented. Since the load sharing in islanding is analyzed, but there are no effects of feeder impedance.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Power Sharing in Islanding Microgrids for Parallel Distributed Generations

Baneshi¹,

Kolahduzloo

Ebrahimi

et al. 2020

Electronics

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Optimal power sharing between parallel inverters and the demand load in microgrids is challenging and particularly critical for power grids in islanding operation. This paper introduces a novel control approach for managing parallel distributed power sources in the presence of variable load in islanding regime. The proposed scheme is based on the modified sliding mode control (MSMC) which is combined with the optimal Riccati control method to achieve convergence at the slip level with higher accuracy. The mathematical principles of the network equations are derived and its stability is obtained using the Lyapunov function. The MSMC simulation results are discussed in relation to the conventional droop method, while the laboratory evaluation was carried out to characterize its dynamic and static response. The results show that the proposed scheme control is able to manage the distributed power generation for static and dynamic load scenarios, and as such, guarantying microgrid frequency stability.

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Distributed Generation Islanding Effect on Distribution Networks and End User Loads Using the Load Sharing Islanding Method

Cited by 23 publications

References 30 publications

Computational geometry‐based methodology for identification of potential islanding initiators in high solar PV penetration distribution feeders

Computational geometry‐based methodology for identification of potential islanding initiators in high solar PV penetration distribution feeders

Techno-Economic Optimization of an Off-Grid Hybrid Power Generation for SRM IST, Delhi-NCR Campus

Coordinated Power Sharing in Islanding Microgrids for Parallel Distributed Generations

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