Mitigating Congestion Problem of DPS Using Generator Sensitivity Factors and MPSOGWO

Anurag Gautam; Ibraheem; G. Sharma; K. T. Akindeji

doi:10.1109/SAUPEC55179.2022.9730752

Mitigating Congestion Problem of DPS Using Generator Sensitivity Factors and MPSOGWO

Anurag Gautam, Ibraheem, G. Sharma, K. T. Akindeji

Electrical and Electronic Engineering Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Restricted transfer of the required bulk electricity in the current deregulated power system (DPS) is a challenging problem due to the thermal constraints of the transmission lines. The DPS has forced the electrical environment to be more competitive and demanding and hence, most of the equipments are operating at their maximum limit. In this paper, a novel method to mitigate congestion through generator rescheduling (a non-technical method) is presented. The cost of the rescheduling (congestion cost) is reduced here together with the minimization of the amount of active power rescheduled. The generator participating in the rescheduling process is selected using the generator sensitivity factor (GSF). The amount of active power to be rescheduled is obtained by implementing a modified hybrid of two well-known optimization algorithms, Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO). The active power is rescheduled taking care of the minimization of congestion cost (CC). The efficacy of the proposed algorithm is tested on IEEE 30-bus system. The application outcomes are compared with results obtained by PSO and GWO. The results confirm the outperformance of the proposed MPSOGWO approach over the parent algorithms in mitigating the congestion of DPS.

Original language	English
Title of host publication	Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665468879
DOIs	https://doi.org/10.1109/SAUPEC55179.2022.9730752
Publication status	Published - 2022
Event	30th Southern African Universities Power Engineering Conference, SAUPEC 2022 - Durban, South Africa Duration: 25 Jan 2022 → 27 Jan 2022

Publication series

Name	Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022

Conference

Conference	30th Southern African Universities Power Engineering Conference, SAUPEC 2022
Country/Territory	South Africa
City	Durban
Period	25/01/22 → 27/01/22

Keywords

CSF
DPS
GWO
MPSOGWO
PSO
rescheduling

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Energy Engineering and Power Technology

Access to Document

10.1109/SAUPEC55179.2022.9730752

Cite this

Gautam, A., Ibraheem, Sharma, G., & Akindeji, K. T. (2022). Mitigating Congestion Problem of DPS Using Generator Sensitivity Factors and MPSOGWO. In Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022 (Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAUPEC55179.2022.9730752

Gautam, Anurag ; Ibraheem, ; Sharma, G. et al. / Mitigating Congestion Problem of DPS Using Generator Sensitivity Factors and MPSOGWO. Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022).

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title = "Mitigating Congestion Problem of DPS Using Generator Sensitivity Factors and MPSOGWO",

abstract = "Restricted transfer of the required bulk electricity in the current deregulated power system (DPS) is a challenging problem due to the thermal constraints of the transmission lines. The DPS has forced the electrical environment to be more competitive and demanding and hence, most of the equipments are operating at their maximum limit. In this paper, a novel method to mitigate congestion through generator rescheduling (a non-technical method) is presented. The cost of the rescheduling (congestion cost) is reduced here together with the minimization of the amount of active power rescheduled. The generator participating in the rescheduling process is selected using the generator sensitivity factor (GSF). The amount of active power to be rescheduled is obtained by implementing a modified hybrid of two well-known optimization algorithms, Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO). The active power is rescheduled taking care of the minimization of congestion cost (CC). The efficacy of the proposed algorithm is tested on IEEE 30-bus system. The application outcomes are compared with results obtained by PSO and GWO. The results confirm the outperformance of the proposed MPSOGWO approach over the parent algorithms in mitigating the congestion of DPS.",

keywords = "CSF, DPS, GWO, MPSOGWO, PSO, rescheduling",

author = "Anurag Gautam and Ibraheem and G. Sharma and Akindeji, {K. T.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 30th Southern African Universities Power Engineering Conference, SAUPEC 2022 ; Conference date: 25-01-2022 Through 27-01-2022",

year = "2022",

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language = "English",

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Gautam, A, Ibraheem, , Sharma, G & Akindeji, KT 2022, Mitigating Congestion Problem of DPS Using Generator Sensitivity Factors and MPSOGWO. in Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022. Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022, Institute of Electrical and Electronics Engineers Inc., 30th Southern African Universities Power Engineering Conference, SAUPEC 2022, Durban, South Africa, 25/01/22. https://doi.org/10.1109/SAUPEC55179.2022.9730752

Mitigating Congestion Problem of DPS Using Generator Sensitivity Factors and MPSOGWO. / Gautam, Anurag; Ibraheem, ; Sharma, G. et al.
Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Gautam, Anurag

AU - Ibraheem,

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AU - Akindeji, K. T.

PY - 2022

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AB - Restricted transfer of the required bulk electricity in the current deregulated power system (DPS) is a challenging problem due to the thermal constraints of the transmission lines. The DPS has forced the electrical environment to be more competitive and demanding and hence, most of the equipments are operating at their maximum limit. In this paper, a novel method to mitigate congestion through generator rescheduling (a non-technical method) is presented. The cost of the rescheduling (congestion cost) is reduced here together with the minimization of the amount of active power rescheduled. The generator participating in the rescheduling process is selected using the generator sensitivity factor (GSF). The amount of active power to be rescheduled is obtained by implementing a modified hybrid of two well-known optimization algorithms, Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO). The active power is rescheduled taking care of the minimization of congestion cost (CC). The efficacy of the proposed algorithm is tested on IEEE 30-bus system. The application outcomes are compared with results obtained by PSO and GWO. The results confirm the outperformance of the proposed MPSOGWO approach over the parent algorithms in mitigating the congestion of DPS.

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KW - DPS

KW - GWO

KW - MPSOGWO

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M3 - Conference contribution

AN - SCOPUS:85127440757

T3 - Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022

BT - Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022

Y2 - 25 January 2022 through 27 January 2022

ER -

Gautam A, Ibraheem , Sharma G, Akindeji KT. Mitigating Congestion Problem of DPS Using Generator Sensitivity Factors and MPSOGWO. In Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Proceedings - 30th Southern African Universities Power Engineering Conference, SAUPEC 2022). doi: 10.1109/SAUPEC55179.2022.9730752

Mitigating Congestion Problem of DPS Using Generator Sensitivity Factors and MPSOGWO

Abstract

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Keywords

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