Optimal placement of FACTS devices and power‐flow solutions for a power network system integrated with stochastic renewable energy resources using new metaheuristic optimization techniques

2021 ◽  
Author(s):  
Khaled Nusair ◽  
Feras Alasali ◽  
Ali Hayajneh ◽  
William Holderbaum
Keyword(s):  
Renewable Energy ◽  
Power Flow ◽  
Optimization Techniques ◽  
Energy Resources ◽  
Optimal Placement ◽  
Network System ◽  
Power Network ◽  
Renewable Energy Resources ◽  
Metaheuristic Optimization ◽  
Facts Devices

Optimized Dynamic Operation of Fixed-Speed Wind Farms Using Classical and Advanced Controllers

2020 ◽  
Vol 21 (2) ◽  
Author(s):  
Othman A. Omar ◽  
Niveen M. Badra ◽  
Mahmoud A. Attia ◽  
Ahmed Gad
Keyword(s):  
Renewable Energy ◽  
Output Power ◽  
Pitch Angle ◽  
Wind Farm ◽  
Wind Farms ◽  
Optimization Techniques ◽  
Energy Resources ◽  
Voltage Regulator ◽  
Renewable Energy Resources ◽  
Proportional Integral

AbstractElectric power systems are allowing higher penetration levels of renewable energy resources, mainly due to their environmental benefits. The majority of electrical energy generated by renewable energy resources is contributed by wind farms. However, the stochastic nature of these resources does not allow the installed generation capacities to be entirely utilized. In this context, this paper attempts to improve the performance of fixed-speed wind turbines. Turbines of this type have been already installed in some classical wind farms and it is not feasible to replace them with variable-speed ones before their lifetime ends. A fixed-speed turbine is typically connected to the electric grid with a Static VAR Compensator (SVC) across its terminal. For a better dynamic voltage response, the controller gains of a Proportional-Integral (PI) voltage regulator within the SVC will be tuned using a variety of optimization techniques to minimize the integrated square of error for the wind farm terminal voltage. Similarly, the controller gains of the turbine’s pitch angle may be tuned to enhance its dynamic output power performance. Simulation results, in this paper, show that the pitch angle controller causes a significant minimization in the integrated square of error for the wind farm output power. Finally, an advanced Proportional-Integral-Acceleration (PIA) voltage regulator controller has been proposed for the SVC. When the PIA control gains are optimized, they result in a better performance than the classical PI controller.

Optimal Operation of Conventional Power Generation with High Penetration of Renewable Energy using Equilibrium Optimizer Technique

2020 ◽  
Author(s):  
Khaled Nusair ◽  
Lina Alhmoud
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Energy Resources ◽  
Solar Pv ◽  
Objective Functions ◽  
Renewable Energy Resources ◽  
High Penetration ◽  
Bus System

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.

scholarly journals Estimating Parameters of Photovoltaic Models Using Accurate Turbulent Flow of Water Optimizer

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 627
Author(s):  
Mokhtar Said ◽  
Abdullah M. Shaheen ◽  
Ahmed R. Ginidi ◽  
Ragab A. El-Sehiemy ◽  
Karar Mahmoud ◽  
...  
Keyword(s):  
Experimental Data ◽  
Renewable Energy ◽  
Turbulent Flow ◽  
Optimization Algorithms ◽  
Real Data ◽  
Optimization Techniques ◽  
Environmental Benefits ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Unknown Parameters

Recently, the use of diverse renewable energy resources has been intensively expanding due to their technical and environmental benefits. One of the important issues in the modeling and simulation of renewable energy resources is the extraction of the unknown parameters in photovoltaic models. In this regard, the parameters of three models of photovoltaic (PV) cells are extracted in this paper with a new optimization method called turbulent flow of water-based optimization (TFWO). The applications of the proposed TFWO algorithm for extracting the optimal values of the parameters for various PV models are implemented on the real data of a 55 mm diameter commercial R.T.C. France solar cell and experimental data of a KC200GT module. Further, an assessment study is employed to show the capability of the proposed TFWO algorithm compared with several recent optimization techniques such as the marine predators algorithm (MPA), equilibrium optimization (EO), and manta ray foraging optimization (MRFO). For a fair performance evaluation, the comparative study is carried out with the same dataset and the same computation burden for the different optimization algorithms. Statistical analysis is also used to analyze the performance of the proposed TFWO against the other optimization algorithms. The findings show a high closeness between the estimated power–voltage (P–V) and current–voltage (I–V) curves achieved by the proposed TFWO compared with the experimental data as well as the competitive optimization algorithms, thanks to the effectiveness of the developed TFWO solution mechanism.

scholarly journals Constructing A Multi-Microgrid with the Inclusion of Renewable Energy in Oman's Rural Power System

2018 ◽  
Vol 13 (1) ◽  
pp. 61 ◽  
Author(s):  
Nasser Hosseinzadeh ◽  
A. Al Shereiqi ◽  
M. Albadi ◽  
Amer Al-Hinai
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Rural Area ◽  
Feasibility Study ◽  
Software Package ◽  
Power Flow ◽  
Power Plants ◽  
Energy Resources ◽  
Sultanate Of Oman ◽  
Renewable Energy Resources

 This paper investigates the possibility of constructing multi-microgrids by interlinking the rural area systems in the Al Wusta governorate of the Sultanate of Oman, which are currently being supplied by diesel generators. It is proposed to enhance the rural system under study by switching off small diesel stations and replacing them with wind turbines. The microgrids formed in this way are then interlinked together to create multi-microgrids. The paper studies the interlinked multi-microgrids under different scenarios; in terms of voltage profiles and power flow using the ETAP software package. This study contributes to the feasibility study of retiring some diesel power plants and using renewable energy resources in rural Oman.

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