Power Losses Minimization in Radial Distribution Networks by Capacitor Allocation Using Hybrid Evolutionary Computation Technique

Статья конференции

Mahfoud R.J., Domvshev A., Sun Y., Panasetsky D., Alkayem N.F., Sidorov D.

2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018

2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. ID: 8582451. P.1-5.

DOI: 10.1109/EI2.2018.8582451

ISBN: 9781538685495

2018

The current research presents a framework to solve the shunt capacitors' optimal allocation and sizing problem in radial distribution networks (RDNs) by a hybrid algorithm, named as Differential Evolution Cuckoo Search Algorithm (DECSA) which combines two efficient optimization methods, namely, Differential Evolution (DE) and Cuckoo Search algorithm (CSA), together. Loss sensitivity factor (LSF) is employed to determine the preferred capacitors' installation positions. The hybrid algorithm DECSA is developed to calculate the capacities and to solve the objective function by minimizing the real power losses while taking into account the permissible limits of nodes' voltages. Finally, the standard IEEE-33 bus power system is utilized to validate the evolved algorithm, results show that a good enhancement in finding the optimal reactive power flow is well achieved. © 2018 IEEE.

Библиографическая ссылка

Mahfoud R.J., Domvshev A., Sun Y., Panasetsky D., Alkayem N.F., Sidorov D. Power Losses Minimization in Radial Distribution Networks by Capacitor Allocation Using Hybrid Evolutionary Computation Technique // 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. ID: 8582451. 2018. P.1-5. ISBN (print): 9781538685495. DOI: 10.1109/EI2.2018.8582451

cuckoo search