An Approach to Quantify the Technical Benefits of Distributed Generation

Chiradeja, Pathomthat; Ramakumar, R.

doi:10.1109/tec.2004.827704

Cited by 611 publications

(276 citation statements)

References 14 publications

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“…Any divergence condition is rectified by applying the load shedding routine. The mathematical framework to shed the minimum level of loads is given through (1) to (6).…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

“…The DG penetration based on the harmonic limit, increase in DG penetration with the energy storage, protection coordination with the DG penetration, optimal allocation of DG with mathematical programming, capacity sufficiency with DG integrations, and reliability levels of active distribution networks are explored in [1][2][3][4][5][6][7][8][9]. The spinning reserve requirement for a significant penetration of wind power generation is explored in [10].…”

Section: Introductionmentioning

confidence: 99%

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Steady-state security in distribution networks with large wind farms

Jayaweera

Islam

2014

J. Mod. Power Syst. Clean Energy

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Aging network assets, forced and unforced outages, and the way the networks are operated in a deregulated market are of significant concerns to integrate large wind farms in a distribution network. In many cases, the constrained network capacity is a potential barrier to the large-scale integration of wind power. This paper probabilistically assesses the steady-state security in a distribution network in the presence of large wind farms. The approach incorporates active distribution network operating conditions, including intermittent power outputs, random outages, demand fluctuations, and dynamic interactions and exchanges, and then assesses the steady state security using Monte Carlo simulation. A case study is performed by integrating large wind farms into a distribution network. The results suggest that intermittent outputs of large wind farms in a distribution network can impact the steady-state security considerably. However, the level of impact of wind farms does not necessarily correlate with the installed capacity of them.

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“…Any divergence condition is rectified by applying the load shedding routine. The mathematical framework to shed the minimum level of loads is given through (1) to (6).…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Steady-state security in distribution networks with large wind farms

Jayaweera

Islam

2014

J. Mod. Power Syst. Clean Energy

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“…This execution is known as feeder reconfiguration. The advantages obtained from feeder reconfiguration are real power loss reduction, balancing system load, bus voltage profile improvement, increasing system security and reliability, and power quality improvement [3][4] Etc.…”

Section: Imentioning

confidence: 99%

Distribution System Network Reconfiguration by using Artificial Bee Colony Algorithm.

Kumar¹,

Babu²,

Lalitha³

2014

IOSRJEEE

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“…In [9][10][11], the siting and sizing of DG units was investigated using impact indices. A number of studies have adopted metaheuristics techniques, such as genetic algorithms [12][13][14], but analytical approaches have also been proposed [15,16].…”

Section: Distribution Network Capacity Assessment [1]mentioning

confidence: 99%

Using AC Optimal Power Flow for DG planning and optimisation

Ochoa

Harrison

2010

IEEE PES General Meeting

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Abstract-While it is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning strategies. This work presents an overview of some of the uses to which a tailored AC Optimal Power Flow (OPF) can be applied to DG planning and optimisation. Its application to maximising connectable capacity and energy loss minimisation are presented and discussed. The incorporation of a wide range of network constraints, including fault levels, voltage step change and N-1 security are also outlined. The AC OPF technique is extended to a multi-period approach to cater for the variability of demand and renewable generation. Advanced smart grid-like control strategies are also incorporated into this planning tool in order to evaluate the potential benefits. Simple test feeders as well as generic UK distribution systems are adopted to demonstrate the methodology.Index Terms-Distributed generation, optimal power flow, active network management, wind power, distribution networks.

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An Approach to Quantify the Technical Benefits of Distributed Generation

Cited by 611 publications

References 14 publications

Steady-state security in distribution networks with large wind farms

Steady-state security in distribution networks with large wind farms

Distribution System Network Reconfiguration by using Artificial Bee Colony Algorithm.

Using AC Optimal Power Flow for DG planning and optimisation

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