AC Optimal Power Flow Problem Considering Wind Energy by an Improved Particle Swarm Optimization

Q4 Engineering

Majlesi Journal of Electrical Engineering Pub Date : 2020-09-01 DOI:10.29252/mjee.14.3.1

M. Ansari, Hossein Ramzaninezhad

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引用次数: 1

Abstract

This paper presents an AC Optimal Power ﬂow (AC-OPF) problem of a power system, considering wind energy. Wind energy is an environmental-friendly energy source to produce electrical power and it includes less operating costs compared with other sources of electrical power production. Wind generators also affect the operation cost of a power system as well as transmission losses, based on generators locations and speed of wind. In addition, wind speed is a parameter with uncertainty and considering this uncertainty is an important issue in operation of wind generators in the AC-OPF problem. The proposed AC-OPF formulation includes the integer variables in addition to continuous variables and studies the effects of wind energy, transformer tap settings, and shunt capacitors on fuel cost, transmission losses as well as up and down spinning reserves. To solve the AC-OPF model, an Improved Particle Swarm Optimization (IPSO) is presented. The IPSO algorithm in this work includes velocity mirror effect that causes improvement in the quality of the results. The proposed method is applied on modified IEEE 30 bus test system, and obtained results approve the validity and effectiveness of the proposed method.

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基于改进粒子群优化的考虑风能的交流最优潮流问题

本文提出了一个考虑风能的电力系统交流最优潮流（AC-OPF）问题。风能是一种生产电力的环保能源，与其他电力生产来源相比，它的运营成本更低。风力发电机还根据发电机的位置和风速影响电力系统的运行成本以及输电损耗。此外，风速是一个具有不确定性的参数，在AC-OPF问题中，考虑这种不确定性是风力发电机运行中的一个重要问题。所提出的AC-OPF公式包括连续变量和整数变量，并研究了风能、变压器抽头设置和并联电容器对燃料成本、输电损耗以及上下旋转储备的影响。为了求解AC-OPF模型，提出了一种改进的粒子群优化算法（IPSO）。这项工作中的IPSO算法包括速度镜效应，这会提高结果的质量。将该方法应用于改进后的IEEE30总线测试系统，结果验证了该方法的有效性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Majlesi Journal of Electrical Engineering Engineering-Electrical and Electronic Engineering

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： The scope of Majlesi Journal of Electrcial Engineering (MJEE) is ranging from mathematical foundation to practical engineering design in all areas of electrical engineering. The editorial board is international and original unpublished papers are welcome from throughout the world. The journal is devoted primarily to research papers, but very high quality survey and tutorial papers are also published. There is no publication charge for the authors.