Reliability assessment and congestion management of power system with energy storage system and uncertain renewable resources

Prajapati, Vijaykumar K.; Mahajan, Vasundhara

doi:10.1016/j.energy.2020.119134

Cited by 89 publications

(24 citation statements)

References 53 publications

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“…In this paper, the stopping criteria for solving the optimization problem using the metaheuristic algorithms have been considered according to (36)- (38). The accuracy criterion has been mathematically expressed in (36). The SD of the mean value of the obtained results should be less than the desired level.…”

Section: Metaheuristic Clustering Algorithmsmentioning

confidence: 99%

Reliability evaluation of smart grid using various classic and metaheuristic clustering algorithms considering system uncertainties

Memari

Karimi

Hashemi‐Dezaki

2021

Int Trans Electr Energ Syst

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The reliability of the smart grid is adversely affected due to system uncertainties. Also, the steadily growing deployment of renewable distributed generation (DG) units increases the uncertainties of smart grids. Hence, it is essential to concern the uncertainties in the field of reliability evaluation of smart grids. Although the Monte Carlo simulation (MCS) has received a significant deal of consideration in the literature, there is a research gap in using the clustering algorithms to assess smart grids' reliability. This article aims to fill such a research gap by proposing a new reliability assessment method, using various clustering algorithms. The benefits from the proposed method's accuracy and fast computation are highlighted, while optimal operation, optimal short-term planning, and repetitive problems should be studied. In this paper,

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Section: Metaheuristic Clustering Algorithmsmentioning

confidence: 99%

Reliability evaluation of smart grid using various classic and metaheuristic clustering algorithms considering system uncertainties

Memari

Karimi

Hashemi‐Dezaki

2021

Int Trans Electr Energ Syst

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“…For example, if 8760 hourly power flows are studied to obtain the LOLP, then 8760 sets of bus data and line data must be prepared. Among all relevant parameters, the hourly loads, photovoltaic power and wind power are essential [23][24][25][26]. This paper converts this chronological problem into a scenario-based problem, in which the probabilities and durations of load, wind power and PV power states can be obtained by applying Markov theory.…”

Section: Background Of Markov Modelmentioning

confidence: 99%

Reliability of a Power System With High Penetration of Renewables: A Scenario-Based Study

Hong

Hsiao

et al. 2021

IEEE Access

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Reliability is a crucial consideration in the expansion of generation or transmission in a bulk power system, especially in a power grid with a high penetration of renewables. Reliability indices, such as loss of load probability (LOLP), are generally evaluated to determine the adequacy of a bulk power system in the future. When a Monte-Carlo simulation is conducted to evaluate the LOLP, the computational time is long because chronological time-series data are involved. This work proposes a novel scenario-based method for studying the LOLP in a bulk power system with a high penetration of renewables. Scenarios are generated by aggregating Markov states of hourly loads, photovoltaic power generations and wind power generations. The power flow result in each scenario is examined to ensure power balance among demand, supply and losses, so the LOLP can be obtained. This novel scenario-based method is more efficient than the traditional chronological time-series approach because the number of considered scenarios is much smaller than the number of considered time-series cases. A set of realistic data regarding Taiwan power system, consisting of 2078 buses associated with a peak load of 39.178 GW, wind power of 6.938GW and photovoltaic power of 20 GW in 2025 is used to validate the proposed method.INDEX TERMS Loss of load probability, Markov model, Monte-Carlo simulation, renewables, reliability.

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“…Indeed, the consignment on the energy scheme differs during the day and turn into high during the nighttime. A continuous power supply can be abounding to consumer via defining the charging and discharging schedules of RE storage system (Prajapati and Mahajan, 2021). Therefore, studies on the energy storage system can efficiently equipoise the renewable resources production and balances the supply and demand level (Kahwash et al,2021;Namilakonda & Guduri, 2021).…”

Section: Renewable Resourcesmentioning

confidence: 99%

A Data-Driven Analysis on Sustainable Energy Security

Bui

Tseng

2021

Journal of Global Information Management

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This study provides a data-driven analysis that illustrates a clear renewable energy depiction in sustainable energy security and unveils the regional issues due to the literature solely occupies energy security concept in the descriptions view, and renewable energy differences related to regions are rarely discussed. A hybrid method is proposed to valid those indicators and shows the trend of future studies. This study enriches the challenges and opportunities by contributing to understand the fundamental knowledge of renewable energy in sustainable energy security frontier, conveyance directions for future study and investigation, and assessment on global renewable energy position and regional disparities. There are valid 19 indicators, in which energy demand, energy policy, renewable resources, smart grid, and uncertainty representing the future trends. World regional comparison includes 115 countries/territories and categorized into five geographical regions. The result shows that those indicators have addressed different issues in the world regional comparison.

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Reliability assessment and congestion management of power system with energy storage system and uncertain renewable resources

Cited by 89 publications

References 53 publications

Reliability evaluation of smart grid using various classic and metaheuristic clustering algorithms considering system uncertainties

Reliability evaluation of smart grid using various classic and metaheuristic clustering algorithms considering system uncertainties

Reliability of a Power System With High Penetration of Renewables: A Scenario-Based Study

A Data-Driven Analysis on Sustainable Energy Security

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