scholarly journals A Fuse Saving Scheme for DC Microgrids With High Penetration of Renewable Energy Resources

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 137407-137417 ◽  
Author(s):  
Navid Bayati ◽  
Hamid Reza Baghaee ◽  
Amin Hajizadeh ◽  
Mohsen Soltani
Author(s):  
Motahareh Pourbehzadi ◽  
Taher Niknam ◽  
Jamshid Aghaei ◽  
Geev Mokryani ◽  
Miadreza Shafie-khah ◽  
...  

Author(s):  
Khaled Nusair ◽  
Lina Alhmoud

Over the last decades, the energy market around the world has reshaped due to accommodating the high penetration of renewable energy resources. Although renewable energy sources have brought various benefits, including low operation cost of wind and solar PV power plants, and reducing the environmental risks associated with the conventional power resources, they have imposed a wide range of difficulties in power system planning and operation. Naturally, classical optimal power flow (OPF) is a nonlinear problem. Integrating renewable energy resources with conventional thermal power generators escalates the difficulty of the OPF problem due to the uncertain and intermittent nature of these resources. To address the complexity associated with the process of the integration of renewable energy resources into the classical electric power systems, two probability distribution functions (Weibull and lognormal) are used to forecast the voltaic power output of wind and solar photovoltaic, respectively. Optimal power flow, including renewable energy, is formulated as a single-objective and multi-objective problem in which many objective functions are considered, such as minimizing the fuel cost, emission, real power loss, and voltage deviation. Real power generation, bus voltage, load tap changers ratios, and shunt compensators values are optimized under various power systems’ constraints. This paper aims to solve the OPF problem and examines the effect of renewable energy resources on the above-mentioned objective functions. A combined model of wind integrated IEEE 30-bus system, solar PV integrated IEEE 30-bus system, and hybrid wind and solar PV integrated IEEE 30-bus system are performed using the equilibrium optimizer technique (EO) and other five heuristic search methods. A comparison of simulation and statistical results of EO with other optimization techniques showed that EO is more effective and superior.


2022 ◽  
pp. 978-1012
Author(s):  
Navid Bayati ◽  
Amin Hajizadeh ◽  
Mohsen Soltani

This chapter consists of two sections, ‘Modelling of DC Microgrids' and ‘Protection of DC Microgrids'. In the first section, the new developments in DC Microgrids are discussed. Then, the Modelling of renewable energy resources-based DC Microgrid using characteristics and mathematics equations of each component are presented and then they are simulated by MATLAB. Afterward, the fault analysis and fault current behavior of the studied DC Microgrid are investigated. In the second section, a method of protecting the DC Microgrid and locating the fault in different parts of the system is proposed. The proposed method protects DC Microgrid using localized protection devices. And, the effectiveness of the proposed protection method is validated in a DC Microgrid with ring configuration.


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