Impact of Distributed Generation on Smart Grid Transient Stability

This paper presents a framework for a home automation scenario within a Smart Grid System. The framework is designed to schedule appliances at less expensive hours to decrease the cost of energy usage at home. The important factor of comfort degradation is also addressed using proposed framework. The framework consists of a Wireless Automatic Metering System that helps in solving various issues of electricity expenses and provides the user with information such as different schemes and tariff packages. Through the proposed framework for home automation, the user will be able to control and reduce the energy expenses using an interactive GUI.

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“…TA+TD=TT (1) TT-TA= TD (2) PD= 0.52752793*TD (3) One centigrade heat unit (International Table) = 0.52752793 watt-hour…”

Section: Smart Grids and Wireless Sensor Networkmentioning

confidence: 99%

5 Home Energy Management within Smart Grid via WSN

Rajput¹,

Rajput²,

Shaikh³

et al. 2012

SSURJ

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“…It is an electric power generation source connected directly to the distribution network or on the customer side [2]. These sources are renewable energy and are made up of solar energy, wind energy, marine and hydro power, bio-energy and fuel, geothermal, energy storage and combined heat & power, which are incorporated into the grid [3][4][5][6][7]. Their presence will contribute to solve the equation of reducing Greenhouse Gas (GHG), which contributes to pollution of the environment.…”

Section: Introductionmentioning

confidence: 99%

Distributed Generation and Optimization of smart Grid Systems: Case Study of Kumba in Cameroon

Dandoussou

Kenfack

Toh

2021

WJEEE

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The traditional electric grid of the City of Kumba has been experiencing a constant failure which leads inhabitant to experience constant blackout. This constant blackout persists and stays for a long time due to the lack of communication between equipment, consumer and supplier. Whenever there is a fault, the repairing agents walk along the feeder to find the fault. This manual fault finding increases the restauration time which leads to the augmentation of the blackout period. Factors responsible for the failure of the line are complex to be controlled. It is necessary to reduce restauration time by introducing Information and Communication Technologies (ICT) and sensing system in the grid and making it to be smart. ICT in this smart grid, sensors and smart meters are meant to assure two-way communication between the supplier and the consumer. They send real time information which is computed at the control center to optimize the entire grid. Distributed generation is also introduced in the system for two purposes. To complete the lag in power demand of the grid and to take over the supply when the main feeder is faulty. Various distributed generation sources studied led to the choice of solar power plants thanks to their low production of Greenhouse Gas (GHG) and availability of their resources in the city. A model has been proposed for the distributed generation and optimization of the smart grid. The system indexes obtained without distributed generation in the grid are different from that with. The difference in these indexes proved that the grid has been optimized. However, the reliability of the grid is enhanced after the introduction of distributed generation into the system. This enhancement in reliability declares that with distributed generation into the grid, the population of Kumba has a reliable power supply, which makes them to have energy throughout.

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“…Thus, it is expected that DG technologies will have a significant contribution to the growth of power systems in the near future [1,3]. However, although DG offers many benefits, certain issues that require further research [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of DG Impacts on Power System Stability under Equal and Unequal Load Growth Scenarios

Patil¹,

Karnik²,

Raju³

2021

AJCT

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The distributed generation (DG) technology is developed to meet the increasing load demand at a load centre by exploring locally available energy sources, including renewables. Although DG technology offers many technical and economic benefits, certain issues need further research. The impact of DG penetration on the system's stability is one such issue that requires significant attention in power system research. This study investigates the impact of DG penetration on the system's small-signal and transient stability under equal and unequal load growth scenarios. The unequal load growth condition is simulated by employing an orthogonal array (OA), and the impact of DG penetration on small-signal stability is analyzed through critical eigenvalues while time-domain indicators were employed to analyze transient stability. The importance of unequal load growth conditions while evaluating the impact of DG penetration on stability is demonstrated on a 3 generators, 9 bus WSCC power system.

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Impact of Distributed Generation on Smart Grid Transient Stability

Cited by 26 publications

References 9 publications

5 Home Energy Management within Smart Grid via WSN

5 Home Energy Management within Smart Grid via WSN

Distributed Generation and Optimization of smart Grid Systems: Case Study of Kumba in Cameroon

A Comparative Study of DG Impacts on Power System Stability under Equal and Unequal Load Growth Scenarios

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