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首页> 外文期刊>International Journal of Electrical Power & Energy Systems >Frequency regulation in hybrid power systems using particle swarm optimization and linear matrix inequalities based robust controller design
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Frequency regulation in hybrid power systems using particle swarm optimization and linear matrix inequalities based robust controller design

机译：基于粒子群算法和线性矩阵不等式的混合动力系统频率调节鲁棒控制器设计

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摘要

It is often necessary to investigate the output power against load demand in a system having distributed generation (DG) resources connected to the existing conventional power system. In this paper, the load frequency control (LFC) problem is presented using different optimization algorithms for two types of power system configurations: (ⅰ) hybrid configuration of thermal power system (TPS) integrated with DG, comprising wind turbine generators (WTGs), diesel engine generators (DEGs), fuel cells (FCs), aqua-electrolyzer (AE) and battery energy storage system (BESS);(ⅱ) two area interconnected power system with DG connected in area-1. The inclusion of wind energy system in DG, having high variability in its output power, results into a challenging task for the realization of an effective controller design. This difficulty is further enhanced with random variation of load demand. The control scheme proposed in this paper is based on linear matrix inequalities (LMI) with its parameters tuned by particle swarm optimization (PSO), as a new contribution to earlier studies. The robustness of this controller is thoroughly demonstrated in the above hybrid power systems with different conditions of load disturbances, wind power and parameter variations.
机译：在具有连接到现有常规电力系统的分布式发电（DG）资源的系统中，经常有必要针对负载需求调查输出功率。在本文中，针对两种类型的电力系统配置，使用不同的优化算法提出了负荷频率控制（LFC）问题：（ⅰ）与DG集成的火电系统（TPS）的混合配置，包括风力发电机（WTG），柴油发电机（DEG），燃料电池（FC），水电解池（AE）和电池能量存储系统（BESS）;（ⅱ）两个区域互连的电力系统，其中DG连接在区域1中。在DG中包含风能系统，其输出功率具有很大的可变性，这对于实现有效的控制器设计而言是一项艰巨的任务。负载需求的随机变化会进一步增加这一难度。本文提出的控制方案基于线性矩阵不等式（LMI），其参数通过粒子群优化（PSO）进行了调整，这是对早期研究的新贡献。在上述混合动力系统中，在负载干扰，风能和参数变化不同的情况下，该控制器的鲁棒性得到了充分证明。

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