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Article

Optimal Power Flow Management System for a Power Network with Stochastic Renewable Energy Resources Using Golden Ratio Optimization Method

1
Protection and Metering Department, National Electric Power Company, Amman 11181, Jordan
2
Department of Electrical Engineering, Hashemite University, Zarqa 13113, Jordan
*
Author to whom correspondence should be addressed.
Energies 2020, 13(14), 3671; https://doi.org/10.3390/en13143671
Received: 14 June 2020 / Revised: 6 July 2020 / Accepted: 10 July 2020 / Published: 16 July 2020
(This article belongs to the Special Issue Optimal Control and Nonlinear Dynamics in Electrical Power Systems)
An optimal operation system is a potential solution to increase the energy efficiency of a power network equipped with stochastic Renewable Energy Sources (RES). In this article, an Optimal Power Flow (OPF) problem has been formulated as a single and multi-objective problems for a conventional power generation and renewable sources connected to a power network. The objective functions reflect the minimization of fuel cost, gas emission, power loss, voltage deviation and improving the system stability. Considering the volatile renewable generation behaviour and uncertainty in the power prediction of wind and solar power output as a nonlinear optimization problem, this paper uses a Weibull and lognormal probability distribution functions to estimate the power output of renewable generation. Then, a new Golden Ratio Optimization Method (GROM) algorithm has been developed to solve the OPF problem for a power network incorporating with stochastic RES. The proposed GROM algorithm aims to improve the reliability, environmental and energy performance of the power network system (IEEE 30-bus system). Three different scenarios, using different RES locations, are presented and the results of the proposed GROM algorithm is compared to six heuristic search methods from the literature. The comparisons indicate that the GROM algorithm successfully reduce fuel costs, gas emission and improve the voltage stability and outperforms each of the presented six heuristic search methods. View Full-Text
Keywords: power loss; fuel cost; emission index; optimal power flow; golden ratio optimization method; renewable energy; IEEE 30-bus system power loss; fuel cost; emission index; optimal power flow; golden ratio optimization method; renewable energy; IEEE 30-bus system
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MDPI and ACS Style

Nusair, K.; Alasali, F. Optimal Power Flow Management System for a Power Network with Stochastic Renewable Energy Resources Using Golden Ratio Optimization Method. Energies 2020, 13, 3671. https://doi.org/10.3390/en13143671

AMA Style

Nusair K, Alasali F. Optimal Power Flow Management System for a Power Network with Stochastic Renewable Energy Resources Using Golden Ratio Optimization Method. Energies. 2020; 13(14):3671. https://doi.org/10.3390/en13143671

Chicago/Turabian Style

Nusair, Khaled, and Feras Alasali. 2020. "Optimal Power Flow Management System for a Power Network with Stochastic Renewable Energy Resources Using Golden Ratio Optimization Method" Energies 13, no. 14: 3671. https://doi.org/10.3390/en13143671

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