Probabilistic indices for analysing the impact of penetration of distributed energy resources on system reliability

IET Renewable Power Gen

2021

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Integration of distributed energy resources (DERs) affect system performance in multitude of ways such as reliability, losses and voltage profile. Thus, increasing distributed energy resource penetration necessitates impact assessment particularly when DERs comprise of stochastic RES based distributed generators (DGs) and storage system. This paper presents a formulation for the analysis of DER penetration and placement on system losses and voltage profile in probabilistic framework. Penetration level has been defined, giving due consideration to stochastic behaviour of RES based distributed generators. The work presented incorporates analysis and consideration of two important factors in placement problem, that is, intermittent nature of RES based distributed generators and dual nature of storage units. In order to account for uncertainties inherently present in RES, probabilistic load flow has been used in this work. Placement problem is solved for three different penetration levels, that is, 20%, 40% and 60% using utterfly particle swarm optimisation. The impact of seasonal effect on system losses and voltage profile in correlation with penetration levels has also been investigated. Results provide useful insights for identification of optimum penetration level.

Section: Mathematical Formulationmentioning

confidence: 99%

Comprehensive analysis of distributed energy resource penetration and placement using probabilistic framework

IET Renewable Power Gen

2021

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“…Probability density functions are a very prevalent method of modelling wind velocity and solar irradiance [5][6][7][8][9][10][11][12]. The irradiance and velocity are considered as stochastic parameters and assumed to follow suitable PDFs.…”

Section: Modelling Using Probability Density Functionsmentioning

confidence: 99%

“…WASP program has been used for technical assessment. On the similar lines, Beta PDF has been used for modelling solar irradiance and Weibull pdf for wind velocity in many other references [7,9,[10][11][12]. Atwa et al [7] have identified the seasonal variations in wind velocity and solar irradiance.…”

Section: Modelling Using Probability Density Functionsmentioning

confidence: 99%

“…The Weibull distribution using shape and scale parameters is most widely used for modelling of wind velocity and is given by [5][6][7][8][9][10][11][12]15]:…”

Section: Weibull Pdf For Wind Velocity Modellingmentioning

confidence: 99%

“…A summary of review on modelling of meteorological parameters has been presented in Table 1. -"--"-Mediterranean coast [7] Wind velocity, solar irradiance Beta, Weibull Rural distribution system [8] -"--"-Kandla port, India [9] -"--"-Jaisalmer, India [10] -"--"-Jaisalmer, India [11] -"--"-Jaisalmer, India [12] -"--"-Zhoushan [13] -"-Weibull, Lognormal Navarre, Spain -"--"-Jaisalmer, India [46] -"-Weibull Hormoz Island, Iran [47] -"--"-Not specified [48] -"-Energyplan (Prob modelling) La Gomera, Canary islands [49] -"-Weibull, Beta Dammam city, Saudi Arabia [50] -"--"-Jaisalmer, India [51] -"-Weibull Milas, Turkey [52] -"-Weibull, Beta Not specified Time series [25] Solar…”

Section: Fig 7 -Implementation Of Ann For Forecasting Of Solar Irradiance/wind Velocitymentioning

confidence: 99%

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A Technical Review on Reliability and Economic Assessment Framework of Hybrid Power System with Solar and Wind Based Distributed Generators

2021

IJIE

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Recent years have witnessed an upsurge in the penetration of solar and wind power. This can be chiefly attributed to worldwide climate concern and inclination towards low carbon sources. Owing to their abundant availability, solar and wind sources are projected to play a key part in de-carbonization of power sector. However, the variability of these sources and high initial cost pose a major challenge in their deployment. Thus, reliability and economic assessment is imperative to hybrid power system(HPS) with solar and wind integration. This paper tenders a survey on different aspects involved in reliability and economic assessment of HPS. Various techniques employed in uncertainty modelling of climatological parameters like solar irradiance and wind velocity have been deliberated. A detailed discussion on reliability evaluation parameters as well as techniques along with their merits and demerits has been carried out. In order to impart a sense of extensiveness to review, a discussion on economic evaluation metrics has also been presented. Further, author’s critical comments on review along with suggestions for possible research avenues has also been presented. The review presented in this paper is envisioned to facilitate a comprehensive guide towards evaluation of solar and wind energy based HPS.

A novel long term solar photovoltaic power forecasting approach using LSTM with Nadam optimizer: A case study of India

Sharma

Soni

Energy Science & Engineering

et al. 2022

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Solar photovoltaic (PV) power is emerging as one of the most viable renewable energy sources. The recent enhancements in the integration of renewable energy sources into the power grid create a dire need for reliable solar power forecasting techniques. In this paper, a new long-term solar PV power forecasting approach using long short-term memory (LSTM) model with Nadam optimizer is presented. The LSTM model performs better with the time-series data as it persists information of more time steps. The experimental models are realized on a 250.25 kW installed capacity solar PV power system located at MANIT Bhopal, Madhya Pradesh, India. The proposed model is compared with two time-series models and eight neural network models using LSTM with different optimizers. The obtained results using LSTM with Nadam optimizer present a significant improvement in the forecasting accuracy of 30.56% over autoregressive integrated moving average, 47.48% over seasonal autoregressive integrated moving average, and 1.35%,