Wide-Area Measurement System-Based Optimal Multi-Stage Under-Frequency Load-Shedding in Interconnected Smart Power Systems Using Evolutionary Computing Techniques

Abstract

Power systems that are known as the most complex systems encounter different types of disturbances and emergence events. To operate such systems in a stable mode, several control protection techniques are in need. Frequency plays a vital role in power systems and needs to be properly maintained in a permissible level. To this end, under-frequency load-shedding (UFLS) techniques are used to intercept the frequency decline when a system encounters a severe disturbance. In this paper, a novel, wide-area measurement system (WAMS)-based optimal UFLS technique is proposed. The system frequency response (SFR) model is identified online based on the real-time measurements collected by phasor measurement units (PMUs). Then, the SFR model is used to design a new optimal multi-stage UFLS scheme. Imperialist competitive algorithm (ICA), which is a powerful evolutionary computing method, is then adopted for solving the suggested multi-stage UFLS optimization problem. The applicability of the proposed method is shown on a practical test system. The effectiveness of the proposed optimal multi-stage UFLS scheme is verified by several simulation and comparison scenarios.

Skema Pelepasan Beban Menggunakan Relai Rate of Change of Frequency dengan Supervisi Under Frequency Relay

“…Namun jika penurunan frekuensi cukup besar dan cepat, maka pelepasan dilakukan secara otomatis menggunakan relai. Relai Under Frequency (UFR) merupakan relay yang paling umum digunakan untuk pelepasan beban [5], [6].…”

Improved Harmony Search Algorithm to Compute the Underfrequency Load Shedding Parameters

“…Meanwhile, references [15,16] use the particle swarm optimization (PSO) algorithm to calculate the optimal load disconnection considering the islanding operation conditions and multiple objective functions. Lastly, in reference [17], a model based on WAMS is employed to compute the optimal parameters of the conventional UFLS scheme using the imperialist competitive algorithm. For further information about the UFLS schemes, the authors of reference [18] have carried out a detailed and comprehensive survey of UFLS schemes available in the literature.…”

Optimal Under-Frequency Load Shedding Setting at Altai-Uliastai Regional Power System, Mongolia

“…For instance, the authors of [21] introduced a method based on artificial intelligence (AI) techniques and WAMs to calculate the optimal UFLS settings, [22] proposed an intelligent under-frequency and under-voltage scheme using WAMs to recover the frequency and voltage and the authors of [23] presented an adaptative UFLS model based on WAM information to set up an emergency LS strategy. Furthermore, several techniques are focused on addressing the effect of the measurement time delay on the performance of UFLS schemes [24][25][26]. A detailed literature review of the UFLS scheme is out of scope of this paper.…”