Large-scale power system controlled islanding based on Backward Elimination Method and Primary Maximum Expansion Areas considering static voltage stability

Jabari, Farkhondeh; Seyedi, Heresh; Ravadanegh, Sajad Najafi

doi:10.1016/j.ijepes.2014.12.008

Cited by 20 publications

(10 citation statements)

References 18 publications

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“…The Harmony memory or HM is the matrix that holds the set of . The size of HM is Harmony memory size M. The size of HM matrix is then M x N. Therefore HM may be written as (11) The HM matrix is initialized with random values with (12) The RAND1[0, 1] is the random number generator, usually, a uniform distribution random generator is used. The value of is used for each of the vectors in the HM.…”

Section: B Improved Self Adaptive Harmony Search Algorithm(isahs)mentioning

confidence: 99%

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Voltage and Frequency Based Optimal Load Shedding using Improved Self Adaptive Harmony Search Algorithm

Raghu¹,

Manjunatha²,

Raghavendra³

2019

IJITEE

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This study presents, two load shedding scheme that are simulated on IEEE-14 bus systems are voltage dependent priority based approach and voltage and frequency based NVSI methods. The frequency-based method is designed to consider the rate of change of frequency to estimate the power loss and thereby trigger the load shedding when the frequency or rate of change of frequency exceeds the corresponding thresholds. A novel method voltage and frequency-based load shedding scheme is designed to estimate the real and reactive power losses using frequency. After estimating the power loss, the buses are indexed using the Novel Voltage Stability Index (NVSI) to select the load buses for load shedding. The loads to be shed at each of the buses are determined using the improved self adaptive harmony search(ISAHS) algorithm. Simulation results of voltage and frequency based NVSI method are presented in comparison with voltage dependent priority based approach.

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Section: B Improved Self Adaptive Harmony Search Algorithm(isahs)mentioning

confidence: 99%

“…There are many research studies that focused on dealing with islanding scenarios [10][11][12][13]. In these different research studies, reliability of the islanded systems have been studied, control strategies have been developed and methods were proposed to separate bulk power system into subsystems.…”

Section: Introductionmentioning

confidence: 99%

Voltage and Frequency Based Optimal Load Shedding using Improved Self Adaptive Harmony Search Algorithm

Raghu¹,

Manjunatha²,

Raghavendra³

2019

IJITEE

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“…In this work, MCS and PEM are integrated with primary maximum expansion area based backward elimination approach for robust splitting of large‐scale power systems under uncertain nature of loads and wind generations. The primary maximum expansion area of each island consists of its non‐boundary or deterministic nodes and branches and probabilistic section considering islands' independency criterion.…”

Section: Proposed Stochastic Strategymentioning

confidence: 99%

Multi‐objective optimal preventive islanding based on stochastic backward elimination strategy considering uncertainties of loads and wind farms

Jabari

Seyedi

Ravadanegh

et al. 2017

Int Trans Electr Energ Syst

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Summary Nowadays, occurrence of severe contingencies may cause an interconnected power system to lose stability and lead to the partial or wide‐spread cascading failures. Hence, intentional islanding is the last countermeasure to mitigate the system vulnerability and avoid the catastrophic wide area blackout. This paper proposes a novel probabilistic splitting strategy for generating all possible islanding solutions and evaluating different static and dynamic constraints in reduced power system graph. The proposed stochastic scenario generation algorithm investigates the steady‐state stability of all partitions in each generated solution taking into account the uncertainties of loads and wind farms. Multi‐objective binary imperialistic competitive algorithm is then developed to find the optimum line switching points that minimizes load‐generation mismatch and probability of islands' partial blackout, maximizes voltage stability security margin, and satisfies the slow coherency, connectivity, voltage, and the transmission capacity constraints. Monte Carlo simulation and point estimation method are applied in the stochastic programming model to investigate the islands' stability, calculate the optimization error, and determine the critical stressed transmission lines and PQ‐busses under uncertain operating condition. The validity and speed of the proposed approach are revealed using simulation on IEEE 39‐bus standard system.

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“…Reference [15] proposes a two-stage stochastic approach which considers the possible contingencies on each island to enhance the island reliability. Reference [16] develops the static voltage stability consideration in SSS by checking the Q-V sensitivity of each candidate splitting strategy. Rather than strategy checking, research in [17] investigates the formulation method of island voltage stability margin (VSM) in SSS so that the splitting strategy satisfying certain VSM can be directly solved out.…”

Section: Introductionmentioning

confidence: 99%

Active splitting strategy searching approach based on MISOCP with consideration of power island stability

Zhou

Min

et al. 2019

J. Mod. Power Syst. Clean Energy

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Active splitting control utilizes real-time decision and system-level splitting to prevent cascading blackouts and to maintain power supply under severe disturbances. Splitting strategy searching (SSS) is one of the most crucial issues in active splitting control for deciding ''where to split''. SSS determines the splitting surface in real time to properly divide the asynchronous generators into isolated islands with an optimal control effect. In this paper, an SSS approach that focuses on island stability is presented. The proposed SSS approach is designed to ensure a rational stability margin and regulation ability on each island during and after the transient process of system splitting. This method includes the active/reactive power flow feasibility constraints and voltage/angle stability constraints in the steady state, as well as the frequency response capability constraints in the transient process. By considering the island stability constraints in the SSS, the proposed approach can avoid the splitting strategies with poor stability performance. Therefore, the major advantage of the proposed approach is ensuring better island static and transient stability during and after the splitting control. In addition, the entire model is formulated as a mixedinteger second-order cone programming (MISOCP) model. Thus, it can be rapidly solved by using commercial optimization solvers. Numerical simulation of a realistic provincial power system in central China demonstrates the validity of the proposed approach and the necessity of considering the island stability issues.

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Large-scale power system controlled islanding based on Backward Elimination Method and Primary Maximum Expansion Areas considering static voltage stability

Cited by 20 publications

References 18 publications

Voltage and Frequency Based Optimal Load Shedding using Improved Self Adaptive Harmony Search Algorithm

Voltage and Frequency Based Optimal Load Shedding using Improved Self Adaptive Harmony Search Algorithm

Multi‐objective optimal preventive islanding based on stochastic backward elimination strategy considering uncertainties of loads and wind farms

Active splitting strategy searching approach based on MISOCP with consideration of power island stability

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