Communication plays a huge role in the operation of modern power systems. It permits a real-time monitoring coordination and control of the transmission, generation and distribution of electrical energy. As the modern grid grows towards an increased reliance on communication systems for the protection, metering and monitoring for as well as data acquisition for planning; there is a need to understand the challenge in the powers’ system communication and their impact on the uninterrupted supply of electrical energy. Communication delays are one of the challenges that might affect the performance of the power system and lead to power losses and equipment damage, it is important to investigate the causes and the mitigation options available. Thus, this paper the state of arts on the cause, the effect and mitigation of communication delays in the power system. Furthermore, in this paper an analysis of different causes of the delays for different network configurations and communication systems used; a comparative analysis of different latency mitigation methods and system performance simulations of a given compensation algorithm is tested against the existing methods. The pros and cons of these control strategies are illustrated in this paper. The summary and assessment of those methods of control in this review offer scholars and utilities valuable direction-finding to design superior communication energy control systems in the future.

One of the most common power problems today is communication and control delays. This can adversely affect decision interaction in grid security management. This paper focuses on communication signal delays and how to identify and address communication system failure issues in the context of grid monitoring and control, with emphasis on communication signal delay. An application to solve this problem uses a thyristor switch capacitor (TSC) and a thyristor-controlled reactor (TCR) to improve the power quality of the Rwandan National Grid (RNG) with synchronous and PV generators. It is to counteract the negative effects of time delays. To this end, the TSC and TCR architectures use two methods: the fuzzy logic controller (FLC) method and the modified predictor method (MPM). The experiment was performed using the Simulink MATLAB tool. The power quality of the system was assessed using two indicators: the voltage index and total harmonic distortion. The FLC-based performance was shown to outperform the MPM for temporary or permanent failures if the correct outcome was found. As a result, we are still unsure if TSC and TCR can continue to provide favorable results in the event of a network cyber-attack.

This paper analyses the load shedding methods for the impact of communication delays. Therefore, the research investigates the impacts and effects of communication networks in the grid systems which might cause imperfections such as delays and noise among others related to relays. The model of the power system and the design of the controllers are done using Simulink, the Matlab software. The controllers are designed to output power imbalance based on frequency deviation during various systems under frequency conditions. They also shed loads continuously until the frequency is restored within the safe operating range. Different cases of the system under frequency are used to analyze the performance of the grasshopper optimization algorithm (GOA) proposal based on under-frequency load Shedding UFLS, a comparison with Traditional and particle swarm optimization (PSO). UFLS is performed due to various disturbances. It has been found that a GOA method provides excellent communication networks and reduces the size of the load is shed. Moreover, and what’s more, GOA achieves the fastest solution we’ve ever used in IEEE 14 Bus system.