Cascading failures (CF) is complex in nature and difficult to accurately model or solve mathematically. The current industry approach preventing CF, which leads blackout event, involves incurring losses. In this paper, a technique based on an adaptive multi-agent system algorithm implemented prevent CF without loss incurrence. uses mathematical combinations heuristically selected through the use of sensitivities obtained from economic dispatch history power redispatch generators. This...

In this paper, a novel application of Artificial Neural Networks (ANN) is deployed to prevent blackout in microgrid after N-1-1 contingency condition. fact, microgrids are vulnerable disturbances and abnormal conditions due their inherent small inertia. Therefore, stability disturbance turns into challenge power systems. The key contribution paper utilize the artificial intelligence concept cascading failure practically at early stages make more reliable robust by intelligent adaptive...

A Multi-Agent System (MAS) for Smart Grid control is developed as part of the West Virginia Super Circuit (WVSC) Demonstration project. Both software and hardware deployment technology being carried out on an Analog Power Simulator upgraded automated to meet requirements. The which based mimicking Human Immune Cells behavior intelligently perform feeder fault location, isolation, reconfiguration restoration a specific layout existing Allegheny Run circuit.

A Transient Stability Analysis of a low inertia microgrid system is presented in this paper. The analysis performed on experimental data collected for different case scenarios grid disturbances. test bed consists reconfigurable 100kW MicroGrid with more than 10 rotating generators, PV, and Wind penetration capabilities. Both islanded non-islanded situations are considered solid three phase fault comparison. paper also presents the results scenario when machines pushed to an unstable region....

There have been numerous simulation works done on Grid Restoration using Multi-Agent System but almost no experimental work to ascertain the duplicity of these results. This aims experimentally perform distributed restoration a smart power grid system. The concept used in this research is based and intelligent multi-agent system technology where multiple entities are geographically spread if equipped with two-way communication capability able reach goals or solutions that would impossible...

In this paper, a new technique in designing MultiAgent System (MAS) for power system reconfiguration and restoration is proposed. The designed MAS based on mimicking the human immune behavior. Immune natural intelligent where different components interact to heal body. Similarly, proposed multi-agent detect isolate faults, restore affected loads taking into consideration line capacity, voltage profile losses. approach demonstrated model of Southern California Edison's Circuit Future.

In this work, a technique based on an adaptive Multi-Agent System algorithm is implemented to solve the complex problem of cascading failure events which lead total blackout. This method proposes solution variant and unique as previous literature focuses identifying possibility occurrence failures then mitigates failures. The proposed utilizes pre-stated mathematical combinations that aim redispatch power from generators dynamically experimentally applied in real-time, therefore it considers...

Cascading Failure and Blackout Event is one of the major concerns to all in Power System industry. Recent literature mainly focused on predicting occurrence this catastrophic event suggestions ways curtail spread Failure. No research, our knowledge, as preventing without use high cost precautionary steps. This work utilizes an adaptive Multi-Agent Algorithm a smart grid system with two-way communication capability successfully prevent after N-1-1 transmission line contingency condition more...

In this Work, we investigate the use of two-way communication to perform distributed restoration smart power grid distribution systems. The concept used in research is based on and intelligent multi-agent system technology where multiple entities are geographically spread if equipped with capability these able reach goals or solutions that would have been impossible a single local control. implemented West Virginia Super Circuit validate theory. results show proposed can restore timely...

With the increase in renewable energy integration electrical power systems along with time-varying consumption by users, it is imperative to regulate load profile through pragmatic economical Demand-Side Management. Thus, study carried out this paper presents a real-time algorithm for cost optimization achieve Management of Renewable Energy Source integrated microgrid. The aims utility maximization and reduction an optimal scheduling presence variable loads. proposed approach mitigates...

This paper presents an intelligent control method based on artificial neural network (ANN) to prevent cascading failures and blackout in microgrid systems after N1 contingency condition. Microgrids have low inertia as compared the utility power grids which makes their very challenging. The main contribution of this work is utilise machine learning structure ANN make microgrids more reliable resilient. able relieve congestion lines by adaptive re-dispatch consecutive line outages. proposed...

Abstract In this paper, a novel intelligent control is proposed based on Artificial Neural Networks (ANN) to mitigate cascading failure (CF) and prevent blackout in smart grid systems after N-1-1 contingency condition real-time. The fundamental contribution of research deploy the machine learning concept for preventing at early stages its occurrence make grids more resilient, reliable, robust. method provides best action selection strategy adaptive adjustment generators’ output power through...

In this paper, an automation and self healing scheme based on artificial immune system (AIS) is developed for power systems. The AIS works like a protective layer that strives to eliminate the damages anomalies while creating immunity-like systems by remembering actions taken against specific anomaly or damage.

The accuracy of measurements from a rotary encoder is high importance and the level desired will depend on nature application in which used. Due to various errors measurement during real-time usage, this work has designed LabVIEW program that exempts erroneous readings are not within chosen range, forms an array acceptable range finds mean once size equal stipulated program. This value given as actual measurement. gives more accurate than case without A motor-generator set frequency used...

The aim of this study is to propose a self-sensing control internal permanent-magnet synchronous machines (IPMSMs) based on new high order sliding mode approaches. will be combined with the backstepping strategy achieve global or semi attraction and ensure finite time convergence. proposed should able reject unmatched perturbations external perturbation. On other hand, super-twisting algorithm interconnected observer methodology multi-input–multi-output observer. This used estimate rotor...

In this paper, a decentralized automatic generation control design based on an artificial immune system algorithm is proposed. Using the concept of cell-pathogen interactions power assimilated to human body which strives fight and eliminate damages anomalies. The controller takes smart actions that (1) assure compliance with NERC's performance standards, CPS1 CPS2, (2) also reduces wear tear generating units' equipment. A two-area used demonstrate effectiveness novel approach.

The current options power engineers have during a pending CFs event been limited to those that require load shedding. In this work, novel algorithm is proposed avoids loss incurrence as it does not use shedding and involves real-time redispatch from the generators through an appropriate combination. This method requires system possesses MAS capabilities intelligently effect changes. A tool needed select right combination for each state of lookup table heuristics would be ineffective large...

In this paper, a multi-agent load frequency balancing control algorithm based on Genetic Algorithm for storage-less Photo Voltaic (PV) generation is proposed. For maximum deployment of available renewable energy, the PV tracked at its power point however through use virtual synchronous generator converter control, able to follow demand so far possible remains in excess demand. When falls below demand, conventional second area covers deficit. Through Optimization, inertia parameter determined...

As total inertia of a power system decreases with an increase in wind penetration, it cannot fully recover the frequency following load perturbation. Control performance standards (CPS) deteriorate due to increased variability Area Error (ACE). Throughout day, operating conditions changes. As, fixed gain controllers are only designed for nominal conditions, they perform effectively over long period time. An adaptive immune based controller is this paper two-area model which can comply North...