Time priority based optimal load shedding using genetic algorithm

Ganeshprasad, G. G.; Pillappa, Selvamani N.; Rao, K. Uma; Jayaprakash, G.; Bhat, Ramesa Shafi

doi:10.1049/cp.2013.2187

Cited by 9 publications

(8 citation statements)

References 1 publication

(1 reference statement)

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“…• The generator closer to the disturbance location show a faster rate of initial frequency decay [2,6,8,21].…”

Section: System Frequency Responsementioning

confidence: 99%

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Load Sheddingtechniques For System With Cogeneration: A Review

Lakra¹,

Kirar²

2015

ELELIJ

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In developing countries a large demand of power will be seen in future. It is essential to maintain power continuity and reliability. Contingencies like fault occurrence and generated power and load demand imbalance causes system frequency instability. Load-shedding is the ultimate solution to restore system frequency and ensure availability of electrical power to critical loads in the plant. This paper presents a review of traditional adaptive and computational intelligent load shedding scheme. A comparison of these entire schemes with corresponding advantages and disadvantages is summarized.

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“…• The generator closer to the disturbance location show a faster rate of initial frequency decay [2,6,8,21].…”

Section: System Frequency Responsementioning

confidence: 99%

“…Power system frequency falls down rapidly if mismatch occurs between generation and the load demand in case a power disturbance occurs. [21]. Off-normal frequency can directly affect power system operation and reliability.…”

Section: System Frequency Responsementioning

confidence: 99%

Load Sheddingtechniques For System With Cogeneration: A Review

Lakra¹,

Kirar²

2015

ELELIJ

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“…Grading of the loads is a strategy to differentiate the various type of loads connected to a feeder so that selective control of the loads is possible, by some sort of prioritization of the loads [3,4]. Loads connected to the feeder can be classified on following considerations.…”

Section: Grading Of Loadsmentioning

confidence: 99%

“…Grade points are dynamic and flexible and can be defined to include any other considerations apart from those mentioned above [3,4].…”

Section: Grading Of Loadsmentioning

confidence: 99%

Intelligent Load Shedding Using Ant Colony Algorithm in Smart Grid Environment

Margaret

Rao²,

Ganeshprasad

2014

Lecture Notes in Electrical Engineering

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For every country which is expecting a large growth in power demand in the near future or facing a power crisis, an effective load control and power distribution strategy is a necessity. Load shedding is done whenever power demand is more than power generation in order to sustain power system stability. The current load shedding strategies fails to shed exact amount of load as per the system requirement and does not prioritize loads which are being shed. Given the dimension of the problem, it would not be feasible computationally, to use regular optimization techniques to solve the problem. The problem is typically suited for application of meta-heuristic algorithms. This paper proposes a new scheme for optimizing load shedding using ant colony algorithm in a smart grid platform considering loads at utility level. The algorithm developed considers each electrical connection from Distribution Company as one lumped load and provides an effective methodology to control the load based on various constrains such as importance of load and time of load shedding.

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“…The power systems should supply continuous, quality and reliable electric energy to end user (Aponte & Nelson, 2006). However, when any failure occurs in power systems, it can't meet energy requirement due to big difference between power generation and demand (Rao et al, 2013). System should shed some loads to compensate for big difference.…”

Section: Introductionmentioning

confidence: 99%

Optimal Load Shedding Strategy for Selçuk University Power System with Distributed Generation

Çimen

Aydin

2015

Procedia - Social and Behavioral Sciences

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Traditionally under frequency relays and PLCs (programmable logic controller) are used for load shedding. Recently, these methods have been combined with smart power management systems to shed load automatically. These combined systems are the best methods. However, shedding exact amount of load is almost impossible, because it usually ends up with excessive or inadequate load shedding at feeders where it becomes necessary to sustain system stability. Disconnecting a certain amount of loads at a feeder is defined as load shedding. In case of emergency, faster and optimal load relief can be obtained with an intelligent load shedding system. This paper demonstrates an intelligent load shedding strategy in electrical system of Selçuk University Medical Faculty consisting different type and size of loads and being supplied by a distributed generator. Generators which supply with Selçuk University Medical Faculty can't meet energy requirement when there is a disturbance in power system. In case of 1 MW Solar power plant to be building at University Campus supply to Medical Faculty, the difference between power generation and demand will decrease. In this case, load shedding becomes necessary to improve reliability of power supply and sustain system stability. Loads are sorted by importance priority and optimal load shedding method is applied. The fuzzy logic is employed for optimal load shedding solution. Strategy is applied on Medical Faculty loads which have different importance level.

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Time priority based optimal load shedding using genetic algorithm

Cited by 9 publications

References 1 publication

Load Sheddingtechniques For System With Cogeneration: A Review

Load Sheddingtechniques For System With Cogeneration: A Review

Intelligent Load Shedding Using Ant Colony Algorithm in Smart Grid Environment

Optimal Load Shedding Strategy for Selçuk University Power System with Distributed Generation

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