Prevention of Power Grid Blackouts Using Intentional Islanding Scheme

Esmaeilian, Ahad; Kezunovic, Mladen

doi:10.1109/tia.2016.2614772

Cited by 81 publications

(56 citation statements)

References 23 publications

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“…Step 1 : Compute the centers of generator groups (CGGs). For example, the center phase point, (θ C , p , f C , p ), of coherent generator group p is computed by (8).…”

Section: Association Of Nongenerator Busesmentioning

confidence: 99%

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A phase‐plane‐based dynamic coherency real‐time identification scheme for controlled islanding

Yang

Hojo

Zhang

2018

IEEJ Transactions Elec Engng

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Controlled islanding often acts as the last resort against a severe blackout. Generator coherency is the primary constraint to determine an effective controlled islanding strategy. This article proposes a scheme to identify the dynamic coherency of generators for controlled islanding. The generator coherency is identified based on the phase-plane trajectory vectors (PTVs) on the phase plane for generators (PPG). Then, a phase plane for buses (PPB) is proposed to assign the nongenerator buses to coherent generator groups following the minimum distance principle. The separated islands are formed by disconnecting certain transmission lines according to the identified coherent generators and areas. The case studies on the IEEE 39-bus 10-machine power system show that the proposed scheme cannot only adapt to different disturbances and changes of system conditions and network topology but also succeed in identifying the generator coherency at different times and developing proper islanding strategies according to current system states.

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“…Step 1 : Compute the centers of generator groups (CGGs). For example, the center phase point, (θ C , p , f C , p ), of coherent generator group p is computed by (8).…”

Section: Association Of Nongenerator Busesmentioning

confidence: 99%

“…Among all constraints in developing the islanding strategy, the generator coherency is the primary one to keep islands sustainable and stable [7,8]. Great efforts have been made to identify the generator coherency of the postdisturbance power system.…”

Section: Introductionmentioning

confidence: 99%

A phase‐plane‐based dynamic coherency real‐time identification scheme for controlled islanding

Yang

Hojo

Zhang

2018

IEEJ Transactions Elec Engng

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“…The linearized Newton‐Raphson load flow equations can be summarized as

([], \begin{array}{c} center & J_{Pδ} & J_{PV} \\ center & J_{Qδ} & J_{QV} \end{array}) ([], \begin{array}{c} center & normalΔδ \\ center & normalΔV \end{array}) = ([], \begin{array}{c} center & normalΔP \\ center & normalΔQ \end{array})

where,…”

Section: Objective Function and Constraintsmentioning

confidence: 99%

“…[1][2][3] Researches demonstrate that many wide-spread failures could be avoided by an intentional defensive islanding strategy. 4,5 Defensive splitting or system islanding refers to the intentional partitioning of an interconnected power grid into several stable isolated subsystems before occurring a critical transition or blackout.…”

Section: Motivationmentioning

confidence: 99%

“…Therefore, without a defensive action in time, occurrence of an extreme contingency such as undamped oscillations, voltage collapse, and cascading trips may lead to wide area blackouts . Researches demonstrate that many wide‐spread failures could be avoided by an intentional defensive islanding strategy . Defensive splitting or system islanding refers to the intentional partitioning of an interconnected power grid into several stable isolated subsystems before occurring a critical transition or blackout.…”

Section: Introductionmentioning

confidence: 99%

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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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A Review on Islanding Detection Schemes for DC Microgrids

Choudhury

Jena

2020

Lecture Notes in Electrical Engineering

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Recently, renewable energy sources (RESs)-based power plants have attained significant attention because of the fast depletion of fossil fuels and global warming [1]. Distributed generations (DGs), loads, and a bidirectional converter is interfaced with the utility grid in order to exchange powers [2]. DGs enhance the profit of power generation, reduce the effect of global warming, and improve power quality. Therefore, the application of DGs provides the reliability and security to the system [3,4]. MGs are of two types, namely AC MGs and DC MGs. Operation modes of MGs can be either isolated or grid-connected modes [5]. AC MGs research is well developed because of its mature technologies, protection, and standards. Most of the DGs generate power in the form of DC, and it is converted into AC power through DC-to-AC converter (inverter) in order to connect them with the AC MGs [6]. It is important to note that DC loads need DC power supply, and hence, AC power is converted back to DC power. Here, the number of conversions, number of required converters, and losses are more, so it reduces the efficiency of the system [7]. Apart from these, stability, synchronization, and reactive power requirement are the built-in disadvantages of AC MGs. Therefore, DC MGs are a better alternative and solution to the above problems [8,9]. Moreover, DC MGs are easily scalable because of the absence of limiting equipment, such as transformers and relays.During islanding, utility grid connection is absent. So, DGs are the main sources at this time. But, the power can reach to the consumers without any interruption during islanding due to DGs [10]. Here, employees can be affected by islanding as

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Prevention of Power Grid Blackouts Using Intentional Islanding Scheme

Cited by 81 publications

References 23 publications

A phase‐plane‐based dynamic coherency real‐time identification scheme for controlled islanding

A phase‐plane‐based dynamic coherency real‐time identification scheme for controlled islanding

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

A Review on Islanding Detection Schemes for DC Microgrids

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