Performance Enhancement of a Grid-Connected Micro Grid System using PSO Optimisation Technique

Monika Gupta, P. Tiwari, R. Viral, A. Shrivastava
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引用次数: 2

Abstract

In a renewable energy system (RES), maintaining the balance of power between supply and demand with minimum cost in homes connected to these systems present one of the most important challenges to consider. Generally, a large capacity of batteries is usually used to store the energy and reused in absence or insufficient power supply in order to maintain the required energy balance. Thus, a hybrid proposed controller is proposed to analyze the stability of Micro Grid system (MG) using Particle Swarm optimisation (PSO) technique. Two modes of controllers are utilised to attain the stability of the MG system. The first PV / WT method works by using the voltage modulated direct power control (VMDPC) to achieve maximum grid power and also used to enhance the maximum power and the steady-state performances. The second mode of battery storage is operating to maintain the voltage and frequency in the MG through the utilization of the conventional controller. The key objective function is to achieve the maximum power and stability of the system with the implementation of the proposed controller. Simulink/MATLAB environment is used to examine the performance of the proposed system.
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基于粒子群优化技术的并网微电网系统性能增强
在可再生能源系统(RES)中,在连接这些系统的家庭中以最小的成本保持供需之间的电力平衡是需要考虑的最重要的挑战之一。一般采用大容量电池进行储能,在供电不足或缺电情况下进行再利用,以维持所需的能量平衡。为此,提出了一种基于粒子群优化(PSO)技术的混合优化控制器来分析微电网系统(MG)的稳定性。采用两种模式的控制器来实现MG系统的稳定性。第一种PV / WT方法是利用电压调制直接功率控制(VMDPC)实现最大电网功率,并用于提高最大功率和稳态性能。第二种电池存储方式是通过利用常规控制器来维持MG中的电压和频率。关键目标函数是通过所提出的控制器的实现实现系统的最大功率和稳定性。采用Simulink/MATLAB环境对系统的性能进行了测试。
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