Using Fuzzy Logic &amp;amp; Full Search for Distributed generation allocation to reduce losses and improve voltage profile

Ameli, Mohammad Taghi; Shokri, Vahid.; Shokri, Saeed

doi:10.1109/cisim.2010.5643526

Cited by 17 publications

(12 citation statements)

References 13 publications

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“…They are based on the transferred active and reactive power of the distribution or transmission line [11] [12]. From the VSI calculations, the condition of the specific line or bus in a power system will be known, whether they are strong or weak [10]. Determining the voltage stability index (VSI) is fairly essential for voltage stability studies.…”

Section: Voltage Stability Index (Vsi)mentioning

confidence: 99%

“…The proper placements of PV generators in the distribution network also showed improvements in voltage profiles and reductions in branch currents. [9] [10]. Therefore, the impact of strategic placement of PV sources in a transmission system also has an effect on power system stability, especially on voltage stability, as voltage fluctuations are one of the impact of PV integration into the power system network [7].…”

Section: Introductionmentioning

confidence: 99%

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A methodology to determine suitable placement of solar photovoltaic sources in the transmission system taking into account voltage stability index (VSI)

Sie

Abidin

Hashim

2014

2014 IEEE International Conference on Power and Energy (PECon)

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The integration of solar PVs which is projected to increase over the years creates concerns over stability. Reverse power flow occurs due to high PV penetration into the power system network. PV placement at proper locations in a transmission system is essential to maintain voltage stability. Improper placement will caused voltage stability of the system to be affected. However, if the PVs are connected at a strategic location it will lead to a more stable system. This paper presents a methodology for PV source placement in the transmission system while maintaining the stability of the. Voltage Stability Index (VSI) will be used as an indicator to measure the stability status of the system. Two test systems will be used for simulation for this research, the IEEE 30 Bus and 57 Bus Test System. The simulation results showed that proper placement of the PV source in the transmission system will lead to better stability to the system. Keywords-reverse power flow; solar photovoltaic (PV); voltage stability index (VSI); static votage stability

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Section: Voltage Stability Index (Vsi)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A methodology to determine suitable placement of solar photovoltaic sources in the transmission system taking into account voltage stability index (VSI)

Sie

Abidin

Hashim

2014

2014 IEEE International Conference on Power and Energy (PECon)

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“…There are also other methods and algorithms used for minimizing active loss by inserting DG units or capacitors into distribution network such as; ant lion optimization algorithm, 10 bacterial foraging optimization algorithm, 11 golden rule or 2/3 rule, 12 fuzzy logic, and full search. 13 However, these algorithms and methods require a lot of computations and are slow in convergence, while the analytical methods are computationally less demanding and are fast in convergence. 14 Many analytical methods have been proposed in determining optimal locations and size of a DG unit where the active loss is minimum.…”

Section: Introductionmentioning

confidence: 99%

A time‐varying load‐based analytical approach for DG optimization in the distribution network

Iqteit

Arsoy

Çakır

2018

Int Trans Electr Energ Syst

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Summary This paper presents a novel analytical approach to estimate the optimal generation profiles/size and location of a distributed generation (DG) unit that can be integrated into distribution network to attain the lowest level of active loss. This approach considered the impact of significant parameters including daily load profiles, best power limits of a DG unit, and varying injected power profiles of the substation on results of minimum active loss of the distribution network and optimal calculations of DG. Additionally, the DG placement was speedily identified in this approach by using a new active loss expression along with four different scenarios. These scenarios considered a number of assumptions on the load profiles and on the state variables (voltage and angle). The obtained optimal active generation profile was also used to manage the uncertainty in the energy of the wind and photovoltaic distribution generators for achieving the highest loss reduction. Additionally, the exhaustive load flow method was used to check the validity of the analytical approach by using 13‐bus and 69‐bus distribution networks. The results obtained suggest the effectiveness of this approach in estimating the optimal location and profile/size of DG.

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“…The optimum sizing and location of DG also have also been investigated by Koda [4] using the primal dual interior point (PDIP) method as well as by Ameli, et. al., [5] using a fuzzy logic approach. Kotb [6] has used Genetic Algorithm for determining the effects of location and capacity of distributed generators on the improvement of voltage profile and power loss reduction.…”

Section: Introductionmentioning

confidence: 99%

Mitigating carbon dioxide emission with gradual implemetation of distributed generation in Northern California

Azad

Khoie

2013

2013 North American Power Symposium (NAPS)

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We present a model for analyzing how gradual implementation of distributed generation (DG) in a grid can mitigate carbon dioxide emissions of a utility company. Our model uses the grid parameters and publically available data on the electricity supply and demand of a power company in Northern California: Sacramento Municipal Utility District (SMUD), whose main central power plant uses natural gas. Setting the target year at 2050, our model uses a logistic function for forecasting the SMUD's electricity supply and demand. We then use PowerWorld software and calculate the reduction in line losses based on the size and location of distributed generators on the grid. And finally our model determines the carbon dioxide emissions for various scenarios with business-as-usual as well as with renewable distributed generators gradually (annually) brought on line.Our results show that under business as usual scenario, SMUD's carbon dioxide emissions will rise from its 2010-level of 2.2 million metric tons to 2.888 million metric tons; an increase of 31% over four decades. However, by implementing a modest 40 MW of renewable DG every year, SMUD can lower its carbon dioxide emission to 0.83 million metric tons in 2050, which is 62% lower than its 2010-level emissions. This significant reduction in carbon dioxide emission is due to both line loss reduction and the implementation of renewable distributed generation.

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Using Fuzzy Logic & Full Search for Distributed generation allocation to reduce losses and improve voltage profile

Cited by 17 publications

References 13 publications

A methodology to determine suitable placement of solar photovoltaic sources in the transmission system taking into account voltage stability index (VSI)

A methodology to determine suitable placement of solar photovoltaic sources in the transmission system taking into account voltage stability index (VSI)

A time‐varying load‐based analytical approach for DG optimization in the distribution network

Mitigating carbon dioxide emission with gradual implemetation of distributed generation in Northern California

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