Congestion Management Considering Wind Energy Sources Using Evolutionary Algorithm

Deb, Subhasish; Gope, Sadhan; Goswami, Arup Kumar

doi:10.1080/15325008.2014.1002587

Cited by 30 publications

(13 citation statements)

References 17 publications

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“…The proposed CSA is adopted to minify the congestion cost and release the over burden of the transmission line with the introduction of the wind farm. The congestion cost achieved with the CSA is 5998.3 $/day and is minimum when compared to the other cost obtained with RED, PSO and ABC optimization methodologies referred in [15]- [17] respectively. The losses are also reduced to 58.63 MW from 59.39 MW after the application of proposed CSA for the CM approach adopted with wind farm.…”

Section: Resultsmentioning

confidence: 81%

“…The generators contributed in the rescheduling process were selected based on the Generator Sensitivity Factor (GSF) [16]. Deb and Goswami formulated CM approach with wind energy resource and Artificial Bee Colony (ABC) to optimize the congestion cost [17].…”

Section: Introductionmentioning

confidence: 99%

“…The potency of the proposed approach is validated on the 39 bus New England system. The outcomes achieved with CSA are compared with the results of RED, PSO and ABC optimization algorithms referred in the past literatures [15]- [17] respectively.…”

Section: Introductionmentioning

confidence: 99%

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Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm

Paul

Kumar

2018

IJECE

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The issue to alleviate congestion in the power system framework has emerged as an alluring field for the power system researchers. The research conducted in this article proposes a cuckoo search algorithm based congestion alleviation strategy with the incorporation of wind farm. The bus sensitivity factor data are computed and utilized to sort out the sutiable position for the installation of the wind farm. The generators contributing in the real power rescheduleing process are selected as per the generator sensitivity values. The cuckoo search algorithm is implemented to minimize the congestion cost with the embodiment of the wind farm.The proposed method is tested on 39 bus New England framework and the results obtained with the cuckoo search based congestion management approach outperforms the results opted with other heuristic optimization techniques in the past research literatures.

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Section: Resultsmentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

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Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm

Paul

Kumar

2018

IJECE

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“…Using this concept, the value of transferring power through the transmission lines can be calculated. In traditional networks, all congested lines are considered with an equal value, ie, if 2 lines simultaneously meet congestion, there are different solutions to prioritize the lines . Therefore, their effect on stability and other parameters is used to find the higher priority, but they are not completely economical.…”

Section: Flow‐gate Marginal Pricingmentioning

confidence: 99%

“…In traditional networks, all congested lines are considered with an equal value, ie, if 2 lines simultaneously meet congestion, there are different solutions to prioritize the lines. 11 Therefore, their effect on stability and other parameters is used to find the higher priority, but they are not completely economical. In pal Verma and Sharma 12 a rescheduling-based congestion management strategy in hybrid (pool + bilateral) electricity market structure for a combination of hydro and thermal units is proposed.…”

Section: Flow-gate Marginal Pricingmentioning

confidence: 99%

A new restructuring of centralized congestion management focusing on flow-gate and locational price impacts

Nematbakhsh

Hooshmand

Hemmati

2017

Int Trans Electr Energ Syst

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Summary In the operation of a deregulated power system, congestion and power loss are the two major factors causing price fluctuation in different parts of the network. In this paper, a new method is proposed for calculating and investing the congestion surplus. In this method, congestion surplus, which is calculated on the basis of flow‐gate marginal prices, is used as an economic signal to control the network. In this regard, different strategies such as the definition of sensitive buses and priority list of the congested lines are proposed from the perspective of flow‐gate marginal price concept. In order to verify the novel reformation, distributed generation planning is presented as an illustrative example. In this approach, proper investment is applied to increase the social welfare under new formulation in the presence of distributed generation resources. The proposed algorithm is implemented on IEEE 30‐bus and IEEE 57‐bus networks. The results emphasize the accuracy and efficiency of the proposed algorithm for calculating the congestion surplus and increasing social welfare with the least amount of investment.

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Line Flow Indices for Placement of Distributed Energy Sources in Relieving Transmission Line Congestion

Peesapati

Kumar

Yadav

et al. 2016

Proceeding of International Conference on Intelligent Communication, Control and Devices

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Congestion Management Considering Wind Energy Sources Using Evolutionary Algorithm

Cited by 30 publications

References 17 publications

Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm

Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm

A new restructuring of centralized congestion management focusing on flow-gate and locational price impacts

Line Flow Indices for Placement of Distributed Energy Sources in Relieving Transmission Line Congestion

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