Optimal power flow based on gray wolf optimization algorithm using probability density functions extraction considering wind power uncertainty


  • Charlang, Abbas Department of Electrical Engineering, Ahvaz Branch, Islamic Azad University Ahvaz, Iran
  • Darvish Falehi, Ali Department of Electrical Engineering, Shadegan Branch, Islamic Azad University, Shadegan, Iran
  • Toupchizadeh, Hossein Department of Electrical Engineering, Ahvaz Branch, Islamic Azad University Ahvaz, Iran
چکیده مقاله:

In recent years, utilization of the renewable based power plants has become widespread in the power systems. One of the most widely used renewable based power plants is wind power plants. Due to the utilization of wind energy to generate electricity, wind turbines have not emitted any environmental pollution. Thus, in addition to economic benefits, utilization of these power plants is of great interest from the environmental view point. As the uncertainty in the generated power of these plants is due to the fluctuating nature of wind speed, some problems related to the power system operation including the optimal Power Flow (OPF) issue are revealed. In this paper, instead of using the predetermined probability distribution functions (such as Weibull distribution), the probability density functions extracted based on previous information of wind power plants are used to consider the generated power uncertainty of the wind power plants. The OPF issue has been modeled as an optimization problem aimed at minimizing the network operating cost. The direct power flow constraints are used to model the power grid. To evaluate the above method, the uncertainty scenarios are divided into two categories of sample scenarios and tests that the network performance in sample scenarios will be evaluated by test scenarios. To solve the above optimization problem, a new Random Walk Gray Wolf Optimization (RWGWO) has been used. The simulation of the above method has been performed using MATLAB software for two test networks of IEEE 30 buses and IEEE 118 buses. The simulation results indicate that the utilization of the extracted probability density function has been more consistent with the actual power network conditions and therefore has reduced the network costs as compared to the predetermined probability density function.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Solving Multi-objective Optimal Power Flow Using Modified GA and PSO Based on Hybrid Algorithm

The Optimal Power Flow (OPF) is one of the most important issues in the power systems. Due to the complexity and discontinuity of some parameters of power systems, the classic mathematical methods are not proper for this problem. In this paper, the objective function of OPF is formulated to minimize the power losses of transmission grid and the cost of energy generation and improve the voltage ...

متن کامل

Optimal power flow solution including wind power

In this paper, hybrid particle swarm optimization and gravitational search algorithm is proposed to find the optimal solution for the optimal power flow problem including three wind farms connected to the isolated Adrar Algerian power system. In order to get the cost model, the economic problem is converted into a single objective function considering the fuel cost and cost of wind generation b...

متن کامل

fault location in power distribution networks using matching algorithm

چکیده رساله/پایان نامه : تاکنون روش‏های متعددی در ارتباط با مکان یابی خطا در شبکه انتقال ارائه شده است. استفاده مستقیم از این روش‏ها در شبکه توزیع به دلایلی همچون وجود انشعاب‏های متعدد، غیر یکنواختی فیدرها (خطوط کابلی، خطوط هوایی، سطح مقطع متفاوت انشعاب ها و تنه اصلی فیدر)، نامتعادلی (عدم جابجا شدگی خطوط، بارهای تک‏فاز و سه فاز)، ثابت نبودن بار و اندازه گیری مقادیر ولتاژ و جریان فقط در ابتدای...

Optimal Available Transfer Capability Assessment Strategy for Wind Integrated Transmission Systems Considering Uncertainty of Wind Power Probability Distribution

Wind power prediction research shows that it is difficult to accurately and effectively estimate the probability distribution (PD) of wind power. When only partial information of the wind power probability distribution function is available, an optimal available transfer capability (ATC) assessment strategy considering the uncertainty on the wind power probability distribution is proposed in th...

متن کامل

Optimal Power Flow using Genetic Algorithm andParticle Swarm Optimization

In this work, Particle Swarm Optimizationand Genetic algorithm for the solution of the optimal power flow (OPF) is studied. Traditionally, classical optimization methods were used to effectively solve OPF. But more recently due to incorporation of Flexible A.C. Transmission System (FACTS) devices and deregulation of a power sector, the traditional concepts and practices of power systems are sup...

متن کامل

Dynamic Power Dispatch Considering Electric Vehicles and Wind Power Using Decomposition Based Multi-Objective Evolutionary Algorithm

The intermittency of wind power and the large-scale integration of electric vehicles (EVs) bring new challenges to the reliability and economy of power system dispatching. In this paper, a novel multi-objective dynamic economic emission dispatch (DEED) model is proposed considering the EVs and uncertainties of wind power. The total fuel cost and pollutant emission are considered as the optimiza...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}

عنوان ژورنال

دوره 10  شماره None

صفحات  13- 25

تاریخ انتشار 2022-03

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

کلمات کلیدی

کلمات کلیدی برای این مقاله ارائه نشده است

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023