Application of computational intelligence techniques for load shedding in power systems: A review

Laghari, J. A.; Mokhlis, Hazlie; Bakar, Ab Halim Abu; Mohamad, Hasmaini

doi:10.1016/j.enconman.2013.06.010

Cited by 148 publications

(90 citation statements)

References 78 publications

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“…These can be inadequate for a particular or complex system (Laghari, Mokhlis, Bakar and Mohamad, 2013). These classical methods include homogeneous load shedding, centralized and decentralized load shedding (Pahwa, Scoglio, Das and Schulz, 2013;Mollah, Bahadornejad, Nair and Ancell, 2012;Niar, et al, 1999;Klaric, Kuzle and Tomisa, 2005).…”

Section: Introductionmentioning

confidence: 99%

Optimal under voltage load shedding based on voltage stability index

López¹,

Pérez²,

Rodríguez³

2016

ing.inv.

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This paper presents a methodology for under voltage load shedding using a metaheuristic optimization technique and a stability criterion. Two strategies are proposed to find the minimal size and location of load to shed for the recovery of normal operation conditions. The first one is based on a classical criterion for the under voltage load shedding, identifying the load to disconnect by considering bus voltage level; the second includes a simplified voltage stability index SVSI, which identifies critical buses in the system. The proposed methodology is implemented in an IEEE 14 bus test system, considering a heavy loading condition with and without contingency to validate its efficiency.Keywords: Load shedding, voltage stability, particle swarm optimization. RESUMENEn este artículo se presenta una metodología para realizar el deslastre de carga por baja tensión utilizando una técnica de optimización metaheuristica y criterios de estabilidad. Se proponen dos estrategias para encontrar tanto la cantidad mínima de carga a deslastrar como su localización en el sistema, para recuperar las condiciones normales de operación. El primero está basado en el criterio clásico del deslastre de carga por baja tensión, donde se identifica la carga a desconectar considerando los niveles de tensión en las barras del sistema; el segundo incluye el índice simplficado de estabilidad de tensión SVSI, el cual identifica las barras críticas en el sistema. La propuesta se valida en el sistema de prueba IEEE de 14 barras cuando es sometido a varias perturbaciones.Palabras clave: Deslastre de carga, estabilidad de tensión, optimización por enjambre de partículas.

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Section: Introductionmentioning

confidence: 99%

Optimal under voltage load shedding based on voltage stability index

López¹,

Pérez²,

Rodríguez³

2016

ing.inv.

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“…One of the most important stability phenomena is voltage stability. Any power system must be operated with an acceptable margin of voltage stability in both normal and contingent situations [1,2]. After occurrence of a severe contingency (e.g., double line outage), the reactive power consumption of the power system is increased, and the stability margin is then decreased.…”

Section: Introductionmentioning

confidence: 99%

“…In this situation, normal and emergency controls must be triggered to stop the voltage decline. In the case of inability of normal control actions (e.g., reactive shunt switching) to prevent voltage instability, it is required to execute some remedial emergency actions [2,3]. The last-resort remedy is load shedding.…”

Section: Introductionmentioning

confidence: 99%

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A robust undervoltage load shedding scheme against voltage instability

Kaffashan¹,

Mortezaee²,

Amraee³

2016

Turk J Elec Eng & Comp Sci

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Abstract:Undervoltage load shedding (UVLS) is an effective measure for restoring voltage stability as a last resort in emergency conditions. In this paper, a UVLS scheme is proposed considering the uncertainties of load and line parameters. The loading margin is considered as the voltage stability index. The proposed scheme determines the optimal load shedding pattern subject to technical constraints. The info-gap decision theory uncertainty modeling technique is utilized to find a robust and cost-effective pattern of load shedding. The proposed scheme is formulated as a nonlinear programming problem, which is solved using the sequential quadratic programming technique. The performance of the proposed scheme is verified for the IEEE-14 bus and IEEE-118 bus test systems.

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“…In the literature, several load shedding schemes have been proposed: conventional, adaptive, and intelligent. The conventional UFLS is the most applicable in this case [1][2][3]. In this technique, a pre-determined load values will be shed based on frequency value.…”

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confidence: 99%

A New Under-Frequency Load Shedding Scheme Based on Adaptive Neuro-Fuzzy Inference System and Evolutionary Programming Shedding Priority

Dridy

Mokhlis

Mekhilef

2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract.Frequency stability of islanded distribution system is a topic of interest, due to the significant penetration of distributed generation (DG). This paper proposes a new under frequency load shedding technique, which address the over-shedding issue caused by fixed priority. The proposed scheme consists of two units; first, the power imbalance estimation unit (PIEU), which use adaptive neuro-fuzzy inference system (ANFIS) to estimates the power imbalance. Second, the load shed unit (LSU), which is based on binary evolutionary programming (BEP) technique to shed the optimal loads. To validate the performance of the proposed UFLS scheme, different simulation studies have been conducted using PSCAD software. Moreover, the response of the proposed scheme is compared with another UFLS scheme having fixed priority loads. From the simulation results, the proposed scheme can shed the optimal loads, which is not achieved in the existing load shedding schemes. IntroductionRecently, controlling the frequency within the permissible limits during islanding operation is the most important technical challenge being investigated worldwide. Hence, alternative techniques are required to enhance the reliability of today's complex distribution network. This can be mitigated by using accurate load shedding (UFLS) scheme, which balances the system. Accurate load shedding depends upon two main factors; accurate estimation of power imbalance and accurate amount of load to be shed. In the literature, several load shedding schemes have been proposed: conventional, adaptive, and intelligent. The conventional UFLS is the most applicable in this case [1][2][3]. In this technique, a pre-determined load values will be shed based on frequency value. Although this technique is very simple, it is suffering from over-shedding issue. For this reason, the adaptive UFLS technique comes with advantage of using swing equation to calculate the imbalance of power. Further efforts to accurately estimate the power imbalance were the application of computational intelligence based techniques such as artificial neural network (ANN) [4][5][6], fuzzy logic control [7-9], particle swarm optimization technique (PSO) [10,11], and genetic algorithm (GA) [12,13]. From reviewing different load shedding techniques, there is inaccurate load shedding issue since every technique is bounded by fixed priorities shedding load. Fixed load shedding priority is linked to the loads that are shed sequentially based on lookup table which consist of critical and non-critical loads. For this reason,

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Application of computational intelligence techniques for load shedding in power systems: A review

Cited by 148 publications

References 78 publications

Optimal under voltage load shedding based on voltage stability index

Optimal under voltage load shedding based on voltage stability index

A robust undervoltage load shedding scheme against voltage instability

A New Under-Frequency Load Shedding Scheme Based on Adaptive Neuro-Fuzzy Inference System and Evolutionary Programming Shedding Priority

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