Numerous developing countries are currently grappling with energy crises due to the current surge in global fossil fuels prices. This situation has prompted policymakers and cities administrator urgently seek alternative power sources. Scientists worldwide actively working on innovative computational methods address coordination challenges faced by hybrid systems. Their objective is optimize utilization of environmentally friendly sources, such as clean sources (CESs) like wind solar power,...

This paper assesses the impact of conventional and renewable distributed generation (DG) on reliability future distribution systems, even when connection may not be simply radial. The variability power output DGs, such as wind solar is included. stochastic nature resources their influence system are modeled studied by computing adequacy transition rate. An integrated Markov model that incorporates DG rate, mechanical failure, starting switching probability proposed utilized to give accurate...

The reliability assessment of future distribution networks is an important subject due to the increasing demand for more reliable service with a lower frequency and duration interruption. connection may not be simple radial circuits analyzing such network usually complicated time consuming. In this paper, technical approach evaluating networked system described. proposed algorithm based on identification circuit minimal tie sets using concept Petri nets. Prime number encoding unique prime...

The rising concerns over global climate change and depleting fossil fuel reserves are two of the main reasons for ongoing efforts towards electrification transportation sector. While greenhouse gases (GHGs) emissions from other sectors generally falling, road transport have increased past few decades, with both full electric vehicles (FEVs) plug-in hybrid (PHEVs) being recognized as potential alternatives to combat reduce GHG emissions. However, wide-spread integration FEVs PHEVs will...

The emergence of power system digitalization initiatives is revolutionizing the way electricity grids are monitored and protected. However, integration cyber physical electrical infrastructures leads to an increase in risk intrusions. Attackers can gain access smart grid inject falsified data, leading protection schemes activate unnecessary outage actions. Such outages be devastating end users. In this paper, intrusion detection mitigation (IDMS) proposed using deep learning neural networks...

Machine learning techniques are becoming popular for monitoring the health and faults of different components in power systems, including transformers, generators, induction motors. Normally, fault is performed based on predetermined healthy faulty data from corresponding system. The main objective this study was to recognize start a system using Support Vector (SVM) approach. This technique applied detect instability before entering an unstable condition. Bus voltages, generator angles,...

Extensive research has been conducted on protecting alternating current (AC) power systems, resulting in many sophisticated protection methods and schemes. On the other hand, natural characteristics of direct (DC) systems pose challenges designing a proper scheme for DC microgrids (DC-MG). This paper highlights significant facing design effective microgrids. Furthermore, several technologies techniques presented literature to overcome associated with microgrid are this paper. These...

While the concept of microgrids and renewable energy systems is not entirely new, these integrated technologies have become a special topic interest for researchers, utility providers governments. Many challenges must be overcome to achieve better integration sources into framework. This study presents some viable possibilities utilisation hybridised microgrid system. The hybridisation achieved by an efficient design approach enhancement both load system reliability indices through...

Distributed generation (DG) is a new approach in the electricity industry to meet electrical demand growth suitable manner. This paper presents solution method for distribution expansion planning problem including DG. The proposed algorithm based on binary particle swarm optimization (BPSO). aim of model satisfy operational and economical requirements by using DG as candidate alternative system avoiding or at least reducing: expanding existing substations, upgrading feeders. decides...

Power system reliability measures for residential distribution networks have gained a lot of attention in recent years. This is due to the introduction smart grids, where quality delivered power becomes crucial issue. In this paper, new methodology include cold load pickup (CLPU) events assessment systems proposed. The developed presents platform CLPU assuming an optimal systematic procedure used restore affected points. applied on test using state-of-the-art search technique named lightning...

Power grid consists of interconnected cyber and physical networks. The complexity which is increasing as a result several factors including: the convergence low carbon technologies, increased coupling other critical networks, need for new distributed control forecasting capabilities. These trends are creating unprecedented in our well introducing threats to their functionalities. Hence, network design crucial ensure power grid's inherent security resilience. Given its multilayered nature,...

The development of smart grids has offered many technical solutions that can increase the reliability and resilience distribution systems. Self-healing is an important characteristic grids, as it pertains to capability grid isolate restore system, or part it, its normal operation following interruptions. This achieved by adopting advanced monitoring control systems utilising all local available distributed sources. In this study, a self-healing optimisation strategy for proposed. proposed...

Reliability of distribution systems is an important issue in power engineering for both utilities and customers. Power reliability closely related to individual component reliability. In this paper, the as measured by certain count indices, mainly System Average Interruption Duration Index (SAIDI) Frequency (SAIFI), quantified terms This extension previously reported results. The value approach lies expansion planning which a radial system may be networked with view improve effect inserting...

Reliability is a significant performance index for any electrical equipment in the industry, especially electric motor driven (EMD) systems. Modelling reliability of an EMD system difficult and challenging task. However, based on field data, dominant failure modes some parts can be used to develop simple credible model. This study proposes rate prediction model that currently use hydrocarbon industries. In addition, fault tree was designed identify root causes failures mechanism most...

The main focus of the work presented in this paper is on outage management interconnected microgrids during islanded operation after being disconnected from utility supply. proposed two-stage load restoration technique formulated as a Mixed Integer Linear Programming (MILP) optimization problem with sole objective optimally restoring maximum number loads. applied to distribution system comprising several microgrids, i.e., Multi-Microgrid (MMG) system. In technique, power transactions between...

With the gradual increase in load demand due to population and economic growth, integrating renewable energy sources (RES) into grid represents a solution for meeting demand. However, RES might change power system type from radial non-radial, where current can flow forward backward. Consequently, analysis methods must be updated. The impact on systems includes changes affecting voltage level, equipment sizing, operating modes, protection. Conventional protection updated, as integration will...

While microgrid distribution system technology is rapidly increasing, the importance of finding a way to evaluate effect adding renewable DGs on overall grid reliability has become essential. Renewable energies resources are effective because they reduce environmental pollution and improve energy utilization efficiency reliability, which makes them widely used in network. In this paper, impact solar sources storage will be investigated. Markov modeling model source as well system. Roy...

Enhancing the reliability of distribution systems (DSs) has become a necessity due to society's dependence on electric power and high costs associated with service interruptions. One key technique for improving system is apply efficient restoration methodologies, which must include systematic load prioritization method that considers several practical factors make process complicated challenging one. This paper presents dynamic model in DSs. The ranks loads by priority assigns calculated...

Power utilities have shown great interest in utilising renewable energy resources for various environmental and economic reasons. However, the modelling integration of conventional into electric microgrids will increase complexity microgrid reliability analyses. Therefore, an accurate assessment power distribution systems is expected to become a major challenge future. More extensive research must be conducted improve system techniques determine impact increased penetration resources. In...