Real-Time Implementation of Intelligent Reconfiguration Algorithm for Microgrid

Shariatzadeh, Farshid; Vellaithurai, Ceeman; Biswas, Saugata S.; Zamora, Ramon; Srivastava, Anurag K.

doi:10.1109/tste.2013.2289864

Cited by 88 publications

(44 citation statements)

References 25 publications

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“…The load shedding planning and implementation procedures repeat at each interval. To show the functionality and feasibility of our algorithm, we configured the system with one , five s, and seven s. The modified CERTS MG consists of five generators, seven loads, and 23 breakers [27]. A graphical representation of normal operation of the modified CERTS is shown in Figure 2.…”

Section: Performance Evaluationmentioning

confidence: 99%

Optimal Load Shedding for Maximizing Satisfaction in an Islanded Microgrid

2017

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Abstract:A microgrid (MG) is a discrete energy system that can operate either in parallel with or independently from a main power grid. It is designed to enhance reliability, carbon emission reduction, diversification of energy sources, and cost reduction. When a power fault occurs in a grid, an MG operates in an islanded manner from the grid and protects its power generations and loads from disturbance by means of intelligent load shedding. A load shedding is a control procedure that results in autonomous decrease of the power demands of loads in an MG. In this study, we propose a load shedding algorithm for the optimization problem to maximize the satisfaction of system components. The proposed algorithm preferentially assigns the power to the subdemand with a high preference to maximize the satisfaction of power consumers. In addition, the algorithm assigns the power to maximize the power sale and minimize the power surplus for satisfaction of power suppliers. To verify the performance of our algorithm, we implement a multi-agent system (MAS) on top of a conventional development framework and assess the algorithm's adaptability, satisfaction metric, and running time.

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Section: Performance Evaluationmentioning

confidence: 99%

Optimal Load Shedding for Maximizing Satisfaction in an Islanded Microgrid

2017

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“…Different approaches of genetic algorithm have been used for power distribution reconfiguration [18][19][20]. The genetic algorithm developed for this application can be summarized in the following steps:…”

Section: Genetic Algorithmsmentioning

confidence: 99%

Control model for distributed generation and network automation for microgrids operation

Nascimento

Lambert‐Torres²,

Costa

et al. 2015

Electric Power Systems Research

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“…Hence this algorithm will be superior to other algorithms, which will directly go for reconfiguration and The novel algorithm proposed in this paper overcomes one of the major disadvantages of the existing algorithms for load shedding and reconfiguration of microgrid based on load priority [2]. These algorithms will not be able to generate solutions for all load-magnitude/ load-priority combinations unless suitable load-magnitude, load-priority product values are calculated and used.…”

Section: Load Shedding and Reconfiguration Algorithmmentioning

confidence: 99%

“…In [2] real time implementation of the reconfiguration of SPS and modified CERTS microgrid using genetic algorithm is described. In [3] binary PSO is used for the restoration of SPS.…”

Section: Introductionmentioning

confidence: 99%

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A two stage algorithm for optimal management of isolated microgrid

Kumar

Ushakumari

2015

2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES)

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The critical issues in a renewable energy based microgrid are ensuring continuous availability of power to the critical loads, and to provide supply to the maximum possible portion of the system under any abnormal conditions by topology management. An intelligent load shedding and fast reconfiguration of the system is therefore necessary in order to serve the critical loads and to maintain a proper power balance in the microgrid. This paper presents a novel two stage strategy for load shedding and reconfiguration of microgrid using Binary Firefly Algorithm (BFA). In the first stage, the BFA determines the optimal load configuration with minimum load shedding. Reconfiguration of the microgrid with minimum number of switching operations to serve maximum load is done in the second stage using BFA. The strength of the proposed strategy is that reconfiguration is done only if necessary and is illustrated with MATLAB results on modified Consortium for Electric Reliability Technology Solutions(CERTS) microgrid.

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Real-Time Implementation of Intelligent Reconfiguration Algorithm for Microgrid

Cited by 88 publications

References 25 publications

Optimal Load Shedding for Maximizing Satisfaction in an Islanded Microgrid

Optimal Load Shedding for Maximizing Satisfaction in an Islanded Microgrid

Control model for distributed generation and network automation for microgrids operation

A two stage algorithm for optimal management of isolated microgrid

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