There is currently a growing interest in efficient power generation and transformation without increasing the cost complexity of system. One type conversion energy from direct current to an alternating current, which used various applications, for example, photovoltaic systems. elementary components these systems inverter. However, there are several drawbacks design systems, such as balance bet...

This paper presents a novel parallel algorithm capable of solving problems with multiple energy groups, such as reactor core problems, using dependent angular hadaptivity coupled Dynamic Load Balancing (DLB). We use the C5G7 NEA benchmark an example our in-house code FETCH2 and compare runtimes Continuous Degrees Freedom (CDOFs) between independent adapting runs without DLB. Our results demonst...

This study aimed to minimize energy losses in traditional distribution networks and microgrids through a network reconfiguration and phase balancing approach. To address this problem, an algorithm composed of a multi-objective function and operation constraints is proposed. Network connection matrices based on graph theory and the backward/forward sweep method are used to analyze power flow. A ...

In this paper, we consider the distributed power tracking and energy balancing problem of a general storage system subject to unreliable switching communication network. order deal with uncertainty network topology, observer-based approach has been proposed. First, an adaptive observer is employed recover reference for entire each unit. Second, based on estimated power, certainty equivalent con...

Cloud computing requires more reliable, efficient and scalable load balancing algorithm to survive. As one of the main challenges in cloud computing, load balancing facilitate dynamic workload across multiple nodes ensuring that no single node get overloaded. With proper load balancing, resource consumption is maintained at minimum level, enabling scalability, avoiding bottleneck and overprovis...