Fractional order PI Controller based Load Frequency Control of Hybrid Power System with Electric Vehicle

Ajay Kumar, D. Gupta, S. R. Ghatak
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引用次数: 1

Abstract

Incorporating renewable energy sources to the conventional electric grid can effectively reduce the power crisis faced by modern energy sector. Renewable energy sources like wind and solar are intermittent which cause fluctuation of power and later results in frequency instability. In this paper hybrid power system comprises of thermal system, Wind Turbine Generator (WTG), Diesel Engine Generator (DEG), Solar Photovoltaic (PV), Electric Vehicle (EV) along with energy storage system such as Battery Energy Storage (BES) and Superconducting Magnetic Energy Storage (SMES) are used. Considering the practical aspects, EV is added. A robust frequency controller namely fractional order PI (FOPI) controller has been used in our paper to control the frequency. Three different cases are considered on basis of different combination of BES & SMES to analyze the system performance. In case I, BES is used in both area. In case II, SMES is used in both area whereas in case III, SMES is used in area one and BES in area two. The parameters of FOPI is optimized by Water Cycle Algorithm (WCA). The Integral Time Absolute Error (ITAE) is selected as the objective function. To validate the efficacy of the proposed algorithm the results are compared with another known optimization technique, Particle Swarm Optimization (PSO). Our proposed optimization technique outperforms the PSO by preserving faster settling time.
基于分数阶PI控制器的电动汽车混合动力系统负荷频率控制
将可再生能源纳入传统电网,可以有效缓解现代能源部门面临的电力危机。风能和太阳能等可再生能源是间歇性的,会导致电力波动,进而导致频率不稳定。本文采用的混合动力系统包括热力系统、风力发电机(WTG)、柴油机发电机(DEG)、太阳能光伏(PV)、电动汽车(EV)以及电池储能(BES)、超导磁能储能(SMES)等储能系统。考虑到实际情况,增加了电动汽车。本文采用一种鲁棒频率控制器即分数阶PI (FOPI)控制器来控制频率。基于中小企业与BES的不同组合,考虑了三种不同的案例来分析系统的性能。在情形1中,两个区域都使用BES。在案例II中,两个区域都使用了SMES,而在案例III中,sme用于区域1,BES用于区域2。采用水循环算法(Water Cycle Algorithm, WCA)对FOPI参数进行优化。选择积分时间绝对误差(ITAE)作为目标函数。为了验证该算法的有效性,将结果与另一种已知的优化技术粒子群优化(PSO)进行了比较。我们提出的优化技术通过保持更快的沉降时间而优于粒子群算法。
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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