Steady state load shedding to mitigate blackout in power systems using an improved harmony search algorithm

Mageshvaran, R.; Jayabarathi, T.

doi:10.1016/j.asej.2014.12.014

Cited by 20 publications

(6 citation statements)

References 17 publications

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“…Constraint (30) represents the electricity and gas load shedding limits. The limits considered in the model is based on the existing research [33]. The regulated power flow is constrained in (31) and (32).…”

Section: Real-time Risk Mitigationmentioning

confidence: 99%

Coordinated Risk Mitigation Strategy For Integrated Energy Systems Under Cyber-Attacks

Zhao

Huo

2020

IEEE Trans. Power Syst.

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The dramatic increase of cyber-attacks on energy systems can cause huge losses, which has drawn extensive attention due to the fast integration of information communication technologies (ICTs). This issue is becoming worse with the integration of electricity and gas systems (IEGS), facilitated by gas generation and new coupling technologies.This paper investigates the risk and mitigation strategies for IEGS under false data injection attacks (FDIA) in a hierarchical two-stage framework. The FDIA on both electricity and gas systems are modelled through injecting falsified data by adversaries. To mitigate the adverse impacts, a novel two-stage distributionally robust optimization (DRO) is proposed: i) day-ahead operation to determine initial operation scheme and ii) real-time corrective operation with the realization of FDIA and renewable generation uncertainties. A semidefinite programming is formulated for the original problem and it is then solved by a convex optimizationbased algorithm. A typical IEGS is used for demonstration, which shows that the proposed model is effective in mitigating the risks caused by potential FDIA and renewable uncertainties, by optimal coordinating energy infrastructures and load shedding. This work provides system operators with a powerful tool to operate the IEGS with enhanced security against malicious cyber-attacks while accommodating increasing renewable energy. The method can also be easily extended to operating IEGS against other natural attacks.

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Section: Real-time Risk Mitigationmentioning

confidence: 99%

Coordinated Risk Mitigation Strategy For Integrated Energy Systems Under Cyber-Attacks

Zhao

Huo

2020

IEEE Trans. Power Syst.

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“…In [9], steady-state distributive load shedding under contingencies is solved by prioritising significant loads and Glowworm swarm optimization (GSO). In [10], an improved harmony search algorithm (IHSA) is proposed for optimal load shedding to avoid blackouts considering generator and generation shortage uncertainties. In [11], higher eigen-value load buses are considered for load shedding under generation shortage and contingencies, and the optimal amount of load shed is derived using a hybrid genetic algorithm and neural network (GA-NN) approach.…”

Section: Introductionmentioning

confidence: 99%

Pelican Optimization Algorithm for Optimal Demand Response in Islanded Active Distribution Network Considering Controllable Loads

2022

IJIES

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One of the challenging tasks in an active distribution network (AND) embedded with intermittent renewable energy sources (RES) under islanding conditions is the maintenance of frequency and voltage profiles within tolerable limits. Failing to maintain these operational requirements may lead to voltage collapse or complete blackout of the network. In order to avoid this scenario, ADNs may function with contemporary load shedding schemes but these schemes may result in an inadvertent and excessive amount of load shedding, thereby consequently causing unsatisfactory and low reliability at the consumer level. Thus, this paper used Pelican optimization algorithm (POA) approach for minimising the amount of load to be shed by determining the optimal amount of load to be shed within the consumers' specified limits. Simulations are performed on IEEE 33-bus by assuming different kinds of renewable and distribution generation (DG) units. The computational efficiency of POA is compared with literature works and its performance is also characterised based on 25-indipendent runs of each case. The results obtained by POA are observed to be superior in terms of global optima and less run time. Also, the ADN is observed as satisfactory operation with fewer distribution losses, an improved voltage profile, and enhanced stability margins by imposing optimal load controls to the consumer.

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“…Meta-heuristic optimization algorithms have some applications in LS problem. Among the implemented meta-heuristic methods to minimize the LS, GA-based method [25], differential evolution (DE) algorithm [26], glowworm swarm optimization (GSO) algorithm [27], harmony search algorithm (HSA) [28], PSO algorithm [29] and PSO-simulating annulling (PSO − SA) optimization technique [30].…”

Section: Introductionmentioning

confidence: 99%

Power system voltage instability risk mitigation via emergency demand response-based whale optimization algorithm

Amroune

Bouktir

Musirin

2019

Prot Control Mod Power Syst

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In recent years, due to the economic and environmental issues, modern power systems often operate proximately to the technical restraints enlarging the probable level of instability risks. Hence, efficient methods for voltage instability prevention are of great importance to power system companies to avoid the risk of large blackouts. In this paper, an event-driven emergency demand response (EEDR) strategy based on whale optimization algorithm (WOA) is proposed to effectively improve system voltage stability. The main objective of the proposed EEDR approach is to maintain voltage stability margin (VSM) in an acceptable range during emergency situations by driving the operating condition of the power system away from the insecure points. The optimal locations and amounts of load reductions have been determined using WOA algorithm. To test the feasibility and the efficiency of the proposed method, simulation studies are carried out on the IEEE 14-bus and real Algerian 114-bus power systems.

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Steady state load shedding to mitigate blackout in power systems using an improved harmony search algorithm

Cited by 20 publications

References 17 publications

Coordinated Risk Mitigation Strategy For Integrated Energy Systems Under Cyber-Attacks

Coordinated Risk Mitigation Strategy For Integrated Energy Systems Under Cyber-Attacks

Pelican Optimization Algorithm for Optimal Demand Response in Islanded Active Distribution Network Considering Controllable Loads

Power system voltage instability risk mitigation via emergency demand response-based whale optimization algorithm

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