With the penetration of distributed generators (DGs), operation planning studies are essential in maintaining and operating a reliable and secure power system. Appropriate siting and sizing of DGs could lead to many positive effects forthe distribution system concerned, such as the reduced total costs associated with DGs, reduced network losses, and improved voltage profiles and enhanced power-...

Contemporarily, the development of distributed generations (DGs) technologies is fetching more, and their deployment in power systems becoming broad diverse. Consequently, several glitches are found recent studies due to inappropriate/inadequate penetrations. This work aims improve reliable operation system employing reliability indices using a metaheuristic-based algorithm before after DGs pen...

Accurately evaluating the fault type and location is important for ensuring reliability of power distribution network. A mushrooming number distributed generations (DGs) connected to system brings challenges traditional classification methods. Novel AI-based methods are mostly based on wide area measurement with assistance intelligent devices, whose economic cost somewhat high. This paper devel...

This paper presents an implementation of the hybrid Cuckoo search and Grey wolf (CS-GWO) optimization algorithm for solving problem distribution network reconfiguration (DNR) optimal location sizing distributed generations (DGs) simultaneously in radial systems (RDSs). is being used significantly to minimize system power loss, voltage deviation at load buses improve profile. When high-dimension...

Currently, distribution systems are continuously evolving towards modern and flexible structures while integrating promising renewable energy resources (RERs). In this regard, an optimal network constraint-based expansion planning model combined with integration framework of intermittent RERs is proposed in work to improve the topological flexibility networks (DNs). Specifically, best investmen...

This paper proposes a distributed secondary voltage control method based on extended state Kalman-Bucy filter (ESKBF) and fast terminal sliding mode (FTSM) for the resilient operation of an islanded microgrid (MG) with inverter-based generations (DGs). To tackle co-existence multiple uncertainties, unified modelling framework is proposed to represent set different types disturbances, including ...

The droop control strategy is the most common approach for microgrids control but its application is limited due to frequency deviation following a load change. Complementary control strategy has then been proposed to solve the problem using a communication network. However, under this strategy, regular loads profile produces a continuous change of output power of all distributed generators (DG...

In recent years the use of renewable energy sources (RES) by many power grid companies worldwide has increased significantly. The trend towards RES is mainly due to environmental issues and rising fuel prices associated with conventional electricity generation. This paper introduces a hybrid approach find optimal location size distributed generations (DG) in radial distribution system (RDS). pr...

With the integration of distributed generations (DGs), distribution networks are being transformed into active (ADNs). Due to ADNs‘ complex operational scenarios, massive data, and fast-changing network topologies, traditional state-estimation (SE) methods inadequate meet requirements computational accuracy, speed, robustness. Aiming at SE ADNs, this paper proposes a data-driven classic-model-i...

This research addresses distributed proportional power sharing of inverter-based Distributed Generators (DGs) in microgrids under variations maximum capacity DGs. A microgrid can include renewable energy resources such as wind turbines, solar panels, fuel cells, etc. The intermittent nature causes their capacities. Since DGs be regarded Multi-Agent-Systems (MASs), a consensus algorithm is desig...