Frequency control of power system with electric vehicles using hybrid african vultures optimization algorithm and pattern search tuned fuzzy PID controller

Q3 Engineering

EAI Endorsed Transactions on Energy Web Pub Date : 2023-10-30 DOI:10.4108/ew.135

P M Dash, A K Baliarsingh, Sangram K Mohapatra

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引用次数: 0

Abstract

This work suggests a hybrid African Vultures Optimization Algorithm (AVOA) and Pattern search (hAVOA-PS) based Fuzzy PID (FPID) structure for frequency control of a nonlinear power system with Electric Vehicles (EVs). To illustrate the dominance of the projected hAVOA-PS algorithm, initially PI controllers are considered and results are compared with AVOA, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods. To further enhance the dynamic performance, PID and FPID controllers are considered. The dominance of FPID over PID and PI controllers is shown. In the next step, EVs are incorporated in the test system and a comparative analysis of hAVOA-PS based PI/PID/FPID and FPID+EV is presented. To exhibit the superiority of projected frequency control scheme in maintaining the stability of system under different disturbance conditions like load increase in area-1 only, load decrease/increase in all areas, and large load increase in all areas are considered. It is noticed that the suggested hAVOA-PS based FPID controller n presence of EV is able to maintain system stability for all the considered cases where as other compared approaches fail to maintain stability in some cases.

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基于混合非洲秃鹫优化算法和模式搜索调谐模糊PID控制器的电动汽车电力系统频率控制

本文提出了一种基于非洲秃鹫优化算法(AVOA)和模式搜索(hAVOA-PS)的混合模糊PID (FPID)结构，用于电动汽车非线性电力系统的频率控制。为了说明投影hAVOA-PS算法的优势，首先考虑了PI控制器，并将结果与AVOA、遗传算法(GA)和粒子群优化(PSO)方法进行了比较。为了进一步提高系统的动态性能，采用了PID和FPID控制器。显示了FPID优于PID和PI控制器的优势。接下来，将电动汽车纳入测试系统，并对基于hAVOA-PS的PI/PID/FPID和FPID+EV进行了比较分析。考虑了1区负荷仅增加、所有区域负荷均增加/减少、所有区域负荷均大幅增加等不同扰动条件下，投影频率控制方案在保持系统稳定性方面的优越性。值得注意的是，在存在EV的情况下，建议的基于hAVOA-PS的FPID控制器能够在所有考虑的情况下保持系统稳定性，而其他比较方法在某些情况下无法保持稳定性。

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

EAI Endorsed Transactions on Energy Web Energy-Energy Engineering and Power Technology

CiteScore

2.60

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world''s top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.