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2021 | OriginalPaper | Chapter

Congestion Management Based on Real Power Rescheduling Using Moth Flame Optimization

Authors : Kaushik Paul, Niranjan Kumar, Debolina Hati, Anumeha

Published in: Recent Advances in Power Systems

Publisher: Springer Singapore

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Abstract

Congestion in transmission corridors is a major threat for power system operation. Proper and efficient congestion management initiatives must be adopted to mitigate congestion. This paper has chosen generator rescheduling strategy to manage the congestion. A technique of generator selection based on generator sensitivity factor has been introduced to identify the best generators for the real power rescheduling process. Further, a heuristic method named moth–flame optimization has been used to minimize the cost of real power rescheduling involved in congestion management. 39-bus test system based on the New England framework has been taken for validation of the proposed congestion management philosophy. The proposed strategy has been collated with the performance of other congestion management heuristic techniques and has proved to be efficient and robust.

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Literature
1.
go back to reference Chellam, S., Kalyani, S.: Power flow tracing based transmission congestion pricing in deregulated power markets. Int. J. Electr. Power Energy Syst. 83, 570–584 (2016)CrossRef Chellam, S., Kalyani, S.: Power flow tracing based transmission congestion pricing in deregulated power markets. Int. J. Electr. Power Energy Syst. 83, 570–584 (2016)CrossRef
2.
go back to reference Conejo, A.J., Milano, F., García-Bertrand, R.: Congestion management ensuring voltage stability. IEEE Trans. Power Syst. 21(1), 357–364 (2006)CrossRef Conejo, A.J., Milano, F., García-Bertrand, R.: Congestion management ensuring voltage stability. IEEE Trans. Power Syst. 21(1), 357–364 (2006)CrossRef
3.
go back to reference Deb S, Goswami AK (2012) Congestion management by generator rescheduling using artificial bee colony optimization technique. In: 2012 Annual IEEE India conference (INDICON). IEEE, pp 909–914 Deb S, Goswami AK (2012) Congestion management by generator rescheduling using artificial bee colony optimization technique. In: 2012 Annual IEEE India conference (INDICON). IEEE, pp 909–914
4.
go back to reference Dutta, S., Singh, S.: Optimal rescheduling of generators for congestion management based on particle swarm optimization. IEEE Trans. Power Syst. 23(4), 1560–1569 (2008)CrossRef Dutta, S., Singh, S.: Optimal rescheduling of generators for congestion management based on particle swarm optimization. IEEE Trans. Power Syst. 23(4), 1560–1569 (2008)CrossRef
5.
go back to reference El Aziz, M.A., Ewees, A.A., Hassanien, A.E.: Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation. Expert Syst. Appl. 83, 242–256 (2017)CrossRef El Aziz, M.A., Ewees, A.A., Hassanien, A.E.: Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation. Expert Syst. Appl. 83, 242–256 (2017)CrossRef
6.
go back to reference Fang, R., David, A.: Transmission congestion management in an electricity market. IEEE Trans. Power Syst. 14(3), 877–883 (1999)CrossRef Fang, R., David, A.: Transmission congestion management in an electricity market. IEEE Trans. Power Syst. 14(3), 877–883 (1999)CrossRef
7.
go back to reference Kaushik, P., Kumar, N.: Cuckoo search algorithm for congestion alleviation with incorporation of wind farm. Int. J Electr. Comput. Eng. 8(6), 4871 (2018) Kaushik, P., Kumar, N.: Cuckoo search algorithm for congestion alleviation with incorporation of wind farm. Int. J Electr. Comput. Eng. 8(6), 4871 (2018)
8.
go back to reference Khalilpourazari, S., Khalilpourazary, S.: An efficient hybrid algorithm based on water cycle and moth-flame optimization algorithms for solving numerical and constrained engineering optimization problems. Soft Comput. 23(5), 1699–1722 (2019)CrossRef Khalilpourazari, S., Khalilpourazary, S.: An efficient hybrid algorithm based on water cycle and moth-flame optimization algorithms for solving numerical and constrained engineering optimization problems. Soft Comput. 23(5), 1699–1722 (2019)CrossRef
9.
go back to reference Kumar, A., Sekhar, C.: Comparison of sen transformer and UPFC for congestion management in hybrid electricity markets. Int. J. Electr. Power Energy Syst. 47, 295–304 (2013)CrossRef Kumar, A., Sekhar, C.: Comparison of sen transformer and UPFC for congestion management in hybrid electricity markets. Int. J. Electr. Power Energy Syst. 47, 295–304 (2013)CrossRef
10.
go back to reference Kumar, A., Srivastava, S., Singh, S.: A zonal congestion management approach using real and reactive power rescheduling. IEEE Trans. Power Syst. 19(1), 554–562 (2004)CrossRef Kumar, A., Srivastava, S., Singh, S.: A zonal congestion management approach using real and reactive power rescheduling. IEEE Trans. Power Syst. 19(1), 554–562 (2004)CrossRef
11.
go back to reference Luo, C., Hou, Y., Wen, J., Cheng, S.: Assessment of market flows for interregional congestion management in electricity markets. IEEE Trans. Power Syst. 29(4), 1673–1682 (2014)CrossRef Luo, C., Hou, Y., Wen, J., Cheng, S.: Assessment of market flows for interregional congestion management in electricity markets. IEEE Trans. Power Syst. 29(4), 1673–1682 (2014)CrossRef
12.
go back to reference Mei, R.N.S., Sulaiman, M.H., Mustaffa, Z., Daniyal, H.: Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique. Appl. Soft. Comput. 59, 210–222 (2017)CrossRef Mei, R.N.S., Sulaiman, M.H., Mustaffa, Z., Daniyal, H.: Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique. Appl. Soft. Comput. 59, 210–222 (2017)CrossRef
13.
go back to reference Mirjalili, S.: Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm. Knowl. Based Syst. 89, 228–249 (2015)CrossRef Mirjalili, S.: Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm. Knowl. Based Syst. 89, 228–249 (2015)CrossRef
14.
go back to reference Paul, K., Kumar, N., Agrawal, S.: Optimal rescheduling of real power to mitigate congestion with incorporation of wind farm using gravitational search algorithm in deregulated environment. Int. J. Renew. Energy Res. (IJRER) 7(4), 1731–1740 (2017) Paul, K., Kumar, N., Agrawal, S.: Optimal rescheduling of real power to mitigate congestion with incorporation of wind farm using gravitational search algorithm in deregulated environment. Int. J. Renew. Energy Res. (IJRER) 7(4), 1731–1740 (2017)
15.
go back to reference Paul, K., Kumar, N., Agrawal, S., Paul, K.: Optimal rescheduling of real power to mitigate congestion using gravitational search algorithm. Turk. J. Electr. Eng. Comput. Sci. 27(3), 2213–2225 (2019)CrossRef Paul, K., Kumar, N., Agrawal, S., Paul, K.: Optimal rescheduling of real power to mitigate congestion using gravitational search algorithm. Turk. J. Electr. Eng. Comput. Sci. 27(3), 2213–2225 (2019)CrossRef
16.
go back to reference Pillay, A., Karthikeyan, S.P., Kothari, D.: Congestion management in power systems—a review. Int. J. Electr. Power Energy Syst. 70, 83–90 (2015)CrossRef Pillay, A., Karthikeyan, S.P., Kothari, D.: Congestion management in power systems—a review. Int. J. Electr. Power Energy Syst. 70, 83–90 (2015)CrossRef
17.
go back to reference Shahidehpour, M., Yamin, H., Li, Z.: Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management. Wiley, New York (2003) Shahidehpour, M., Yamin, H., Li, Z.: Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management. Wiley, New York (2003)
18.
go back to reference Venkaiah, C., Kumar, D.V.: Fuzzy adaptive bacterial foraging congestion management using sensitivity based optimal active power re-scheduling of generators. Appl. Soft Comput. 11(8), 4921–4930 (2011)CrossRef Venkaiah, C., Kumar, D.V.: Fuzzy adaptive bacterial foraging congestion management using sensitivity based optimal active power re-scheduling of generators. Appl. Soft Comput. 11(8), 4921–4930 (2011)CrossRef
19.
go back to reference Yesuratnam, G., Thukaram, D.: Congestion management in open access based on relative electrical distances using voltage stability criteria. Electric Power Syst. Res. 77(12), 1608–1618 (2007)CrossRef Yesuratnam, G., Thukaram, D.: Congestion management in open access based on relative electrical distances using voltage stability criteria. Electric Power Syst. Res. 77(12), 1608–1618 (2007)CrossRef
20.
go back to reference Yıldız, B.S., Yıldız, A.R.: Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes. Mater. Test. 59(5), 425–429 (2017)CrossRef Yıldız, B.S., Yıldız, A.R.: Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes. Mater. Test. 59(5), 425–429 (2017)CrossRef
Metadata
Title
Congestion Management Based on Real Power Rescheduling Using Moth Flame Optimization
Authors
Kaushik Paul
Niranjan Kumar
Debolina Hati
Anumeha
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7994-3_34