Analysis of Power Swings and Blackouts

Desai, Jigneshkumar P.

doi:10.1109/ingelectra54297.2021.9748070

Cited by 5 publications

(5 citation statements)

References 34 publications

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“…The Failure in the electrical interconnection system (~ 48) [13] Venezuelan blackouts Venezuela -March 7-July 23,2019 Mismanagement by using troops instead of electricians to operate substations. (~ 30) [12] Pakistan blackout (2021) Pakistan - January 9, 2021 Cascading effect and shutdown of a power plant. (~ 210 -90% of the population) [12] Along with the population of a country, these extensive blackouts affect its social, economic, and financial aspects.…”

Section: Figure 1 Evolution Chart Of Monitoring and Control Mechanism...mentioning

confidence: 99%

“…(~ 30) [12] Pakistan blackout (2021) Pakistan - January 9, 2021 Cascading effect and shutdown of a power plant. (~ 210 -90% of the population) [12] Along with the population of a country, these extensive blackouts affect its social, economic, and financial aspects. Whether these blackouts are purposeful or unintended, it is essential to have effective monitoring and protection, which includes cybersecurity measures.…”

Section: Figure 1 Evolution Chart Of Monitoring and Control Mechanism...mentioning

confidence: 99%

“…Modern power systems that use PMU measurements are sensitive to these voltage instabilities and place a strong emphasis on reactive power management and load dynamics [106]. Voltage instability is mostly caused by power blackouts [7], the hasty removal of generators, transformers, transmission lines, and low supply voltage [12]. Short-term voltage stability (STVS) and long-term voltage stability (LTVS) are the two basic categories of voltage stability.…”

Section: ) Machine Learning In Synchrophasors For Voltage Stability A...mentioning

confidence: 99%

See 2 more Smart Citations

A Review of Machine Learning Approaches in Synchrophasor Technology

Lal

Ramesh

2023

IEEE Access

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Section: Figure 1 Evolution Chart Of Monitoring and Control Mechanism...mentioning

confidence: 99%

Section: Figure 1 Evolution Chart Of Monitoring and Control Mechanism...mentioning

confidence: 99%

Section: ) Machine Learning In Synchrophasors For Voltage Stability A...mentioning

confidence: 99%

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A Review of Machine Learning Approaches in Synchrophasor Technology

Lal

Ramesh

2023

IEEE Access

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“…For example, on 9 January 2021 in Pakistan, the failure of the Gudu power plant caused a chain reaction of the national power system, triggering the largest blackout accident in Pakistan since the founding of the country, causing all major cities in Pakistan to fall into darkness (Desai, 2021). Therefore, the decision of the generator restoration sequence after a blackout is an important research topic in power system restoration.…”

Section: Introductionmentioning

confidence: 99%

A Monte Carlo tree search-based method for decision making of generator serial restoration sequence

Chen²,

Han³

et al. 2023

Front. Energy Res.

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Reasonable generator serial restoration sequence is a key issue to the system restoration following blackouts. This paper proposed an optimization method for the decision making of generator serial restoration sequence based on Monte Carlo tree search algorithm. First, the generator serial restoration sequence mechanism during the restoration process is analyzed. Considering the maximization of the total power generation capacity as the objective function, this paper also consider generator’s hot start. Second, the Monte Carlo tree search algorithm (MCTS) is applied to decide the generator serial restoration sequence. In the simulation stage of MCTS, the Dijkstra’s algorithm is utilized to determine the shortest path between the selected generator and the recovered power system. Finally, the IEEE 39 bus system and Hebei power grid system are used to validate the proposed algorithm. Simulation results show that the proposed method is efficiency and it can provide an reasonable generator serial restoration sequence to maximizing power generation during the restoration process.

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“…The artificial intelligence algorithm is extremely beneficial for power system expansion and protection. Power system expansion includes planning from 1 to 10 years from now [1].…”

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confidence: 99%

Transmission line planning using global best artificial bee colony method

Desai

2023

Electrical Engineering & Electromechanics

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Introduction. Network expansion, substation planning, generating expansion planning, and load forecasting are all aspects of modern power system planning. The aim of this work is to solve network planning considering both future demand and all equality and inequality constraints. The transmission network design problem for the 6-bus system is considered and addressed using the Global Best Artificial Bee Colony (GABC) method in this research. The program is written in the Matrix Laboratory in MATLAB environment using the proposed methodology. Novelty of the work consist in considering the behavior of bees to find food source in most optimized way in nature with feature of user based accuracy selection and speed of execution selection on any scale of the system to solve Transmission Lines Expansion Problem (TLEP). The proposed method is implemented on nonlinear mathematical function and TLEP function. When demand grows, the program output optimally distributes new links between new generation buses and old buses, determines the overall minimum cost of those links, and determines if those linkages should meet power system limits. Originality of the proposed method is that it eliminated the need of load shedding while planning the future demand with GABC method. Results are validated using load flow analysis in electrical transient analyzer program, demonstrating that artificial intelligence approaches are accurate and particularly effective in non-linear transmission network planning challenges. Practical value of the program is that it can use to execute cost oriented complex transmission planning decision.

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Analysis of Power Swings and Blackouts

Cited by 5 publications

References 34 publications

A Review of Machine Learning Approaches in Synchrophasor Technology

A Review of Machine Learning Approaches in Synchrophasor Technology

A Monte Carlo tree search-based method for decision making of generator serial restoration sequence

Transmission line planning using global best artificial bee colony method

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