Day-Ahead and Real Time Optimal Power Flow considering Renewable Energy Resources

2016 ◽  
Vol 82 ◽  
pp. 400-408 ◽  
Author(s):  
S. Surender Reddy ◽  
P.R. Bijwe
Keyword(s):  
Renewable Energy ◽  
Real Time ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Optimal Power ◽  
Time Optimal

scholarly journals Application of Equilibrium Optimizer Algorithm for Optimal Power Flow with High Penetration of Renewable Energy

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6066
Author(s):  
Khaled Nusair ◽  
Lina Alhmoud
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Energy Resources ◽  
Solar Pv ◽  
Renewable Energy Resources ◽  
Real Power ◽  
Optimal Power ◽  
Bus System

In recent decades, the energy market around the world has been reshaped to accommodate 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 is 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 and provides the lowest optimization value in term of electric power generation, real power loss, emission index and voltage deviation.

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