scholarly journals A Solution to Prevent a Blackout Crisis: Determining the Behavioral Potential and Capacity of Solar Power

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Saeed Vedadi Kalantar ◽  
Amir Ali Saifoddin ◽  
Ahmad Hajinezhad ◽  
Mohammad Hossein Ahmadi
Keyword(s):  
Solar Power ◽  
Power Grid ◽  
Behavioral Flexibility ◽  
Stochastic Approach ◽  
Residential Areas ◽  
Power Outages ◽  
Time Step ◽  
Time Use Survey ◽  
Power Deficit ◽  
Summer Time

Increasing the power grid peak in the summer time causes power outages in industries and residential areas in Iran. The most obvious example of this issue is the power outages in the summer of 2018. Management of the demand-side is the most important strategy to reduce the grid peak due to the high cost of the development of the power plant capacity (500$ per kilowatt). In the present study, the effect of behavioral parameters in decreasing the power grid peak was identified. The behavioral simulation was done as an agent-based model using the raw data of the time-use survey (TUS) of the Statistics Center of Iran. 4228 urban households were surveyed, and the quality of people’s behavior was determined in each time step of 15 minutes during the day and night with 2 deterministic and stochastic approaches. In the stochastic approach, the Markov chain method was used. It showed that the power grid peak can only be reduced by 10% with behavioral flexibility and up to 25% by upgrading technology. In addition, based on the power deficit in 2018, 2000 megawatts of solar power capacity must be added to the network at peak times to meet grid demand.

scholarly journals Power transport needs for the German power grid for a major demand coverage by wind and solar power

2021 ◽  
Vol 34 ◽  
pp. 100626
Author(s):  
Yannik Schädler ◽  
Volker Renken ◽  
Michael Sorg ◽  
Lewin Gerdes ◽  
Gerhard Gerdes ◽  
...  
Keyword(s):  
Solar Power ◽  
Power Grid ◽  
Demand Coverage

scholarly journals An Empiric-Stochastic Approach, Based on Normalization Parameters, to Simulate Solar Irradiance

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
Edith Osorio de la Rosa ◽  
Guillermo Becerra Nuñez ◽  
Alfredo Omar Palafox Roca ◽  
René Ledesma-Alonso
Keyword(s):  
Experimental Data ◽  
Solar Irradiance ◽  
Solar Power ◽  
Moving Average ◽  
Estimation Method ◽  
Synthetic Data ◽  
Stochastic Approach ◽  
Photovoltaic System ◽  
Fitting Procedure ◽  
Irradiance Data

This paper presents a methodology to estimate solar irradiance using an empiric-stochastic approach, which is based on the computation of normalization parameters from the solar irradiance data. For this study, the solar irradiance data were collected in a weather station during a year. Posttreatment included a trimmed moving average to smooth the data, the performance of a fitting procedure using a simple model to recover normalization parameters, and the estimation of a probability density, which evolves along the daytime, by means of a kernel density estimation method. The normalization parameters correspond to characteristic physical variables that allow us to decouple the short- and long-term behaviors of solar irradiance and to describe their average trends with simple equations. The normalization parameters and the probability densities allowed us to build an empiric-stochastic methodology that generates an estimate of the solar irradiance. Finally, in order to validate our method, we had run simulations of solar irradiance and afterward computed the theoretical generation of solar power, which in turn had been compared with the experimental data retrieved from a commercial photovoltaic system. Since the simulation results show a good agreement with the experimental data, this simple methodology can generate the synthetic data of solar power production and may help to design and test a photovoltaic system before installation.

Short-Term Measurement of a Photovoltaic/Fuel Cell Remote Hybrid Power System at Golden Gate National Recreation Area

Solar Energy ◽  
2002 ◽  
Author(s):  
Andy Walker ◽  
Jim Christensen ◽  
Greg Barker ◽  
Lyle Rawlings
Keyword(s):  
Fuel Cell ◽  
Solar Power ◽  
Low Voltage ◽  
Golden Gate ◽  
Short Term ◽  
Power Outages ◽  
Cell Efficiency ◽  
Photovoltaic Array ◽  
Recreation Area ◽  
Term Performance

This paper reports short-term performance measurement of a hybrid photovoltaic/fuel cell power supply system at Kirby Cove Campground in Golden Gate National Recreation Area, California. The system operated reliably for two years from June 1999 to July 2001. During this period, the campground host load was met with a combination of solar power and power from the fuel cell. In August of 2001, reports of power outages justified an in-depth investigation. Data is reported over 13.5 days from September 2 to September 15, 2001. Over this period, energy delivered by the photovoltaic array totaled 42.82 kWh. Energy delivered by the fuel cell totaled 1.34 kWh, and net (out-in) energy from the battery totaled 6.82 kWh. After losses in the battery and inverter, energy delivered to the campground host totaled 34.94 kWh, an average of 2.6 kWh/day. Photovoltaic efficiency was measured at 8.9%. Fuel cell efficiency was measured at 42%, which is a typical value, but fuel cell power output was only 35 W instead of the 250 W rated power. Replacing a burnt fuse restored fuel cell power to 125 W, but several cells measured low voltage, and the fuel cell was removed for repair or replacement. Ordinarily, load in excess of the PV capability would be met by the fuel cell, and 22 cylinders of H2 (261 scf, 7,386 sl each) were consumed from April to August 2001. After failure of the fuel cell, load in excess of the solar capability resulted in discharged batteries and eight power outages totaling 48 hours in duration. Thus, overall system availability was 85% when relying only on solar power. This paper describes daily system operation in detail, presents component performance indicators, identifies causes of performance degradation, and provides recommendations for improvement.

scholarly journals Fractional Order Chaos Synchronization for Real-Time Intelligent Diagnosis of Islanding in Solar Power Grid Systems

Energies ◽  
2018 ◽  
Vol 11 (5) ◽  
pp. 1183 ◽  
Author(s):  
Cheng-Biao Fu ◽  
An-Hong Tian ◽  
Yu-Chung Li ◽  
Her-Terng Yau
Keyword(s):  
Real Time ◽  
Fractional Order ◽  
Chaos Synchronization ◽  
Solar Power ◽  
Power Grid ◽  
Intelligent Diagnosis ◽  
Grid Systems

scholarly journals Injuries due to fall make summer time power outages a potential public health issue

2011 ◽  
Vol 4 (1) ◽  
pp. 147 ◽  
Author(s):  
MuhammadS Shamim ◽  
UzmaR Khan ◽  
JunaidA Razzak ◽  
Jooma Rasheed
Keyword(s):  
Public Health ◽  
Health Issue ◽  
Public Health Issue ◽  
Power Outages ◽  
Summer Time ◽  
Potential Public Health

Financially optimal solar power sizing and positioning in a power grid

2018 ◽  
Author(s):  
Ozcel Cangul ◽  
Roberto Rocchetta ◽  
Edoardo Patelli ◽  
Murat Fahrioglu
Keyword(s):  
Solar Power ◽  
Power Grid

scholarly journals Commercial Scale Solar Power Generation (5MW to 50 MW) and its Connection to Distribution Power Network in the United Kingdom

2018 ◽  
Vol 5 ◽  
Author(s):  
Jayanta Deb Mondol ◽  
Gibu Jacob
Keyword(s):  
Power Generation ◽  
Solar Power ◽  
Power Grid ◽  
Research Work ◽  
Study Data ◽  
Small Scale ◽  
Power Network ◽  
Solar Pv ◽  
Solar Power Generation ◽  
Commercial Scale

Over the years, the contribution of solar photovoltaic systems to the power generation is expected to grow through household small scale, and commercial scale solar installation. Researcher pronouncing that delivering such a determination require greater motivation and innovation and much more dynamic power grid network to manage solar generation connection. This research work identifies and recommends the possibilities of applying proven technical know how to get the maximum from the existing power network economically. The simulated case study examples of various capacity connection requests was carried out to provide key insights on the problems faced by the PV farm connections in their line of business. This research is also an effort to give many answers to solar PV developers and enthusiasts who are not very technical and confused about different money saving connection options and the electrical constraints of the power grid. This study data can be used to provide recommendations to further enhance the growth of commercial scale solar power generation in the UK.

scholarly journals The Climate Generator: Stochastic climate representation for glacial cycle integration

2018 ◽  
Author(s):  
Mohammad Hizbul Bahar Arif ◽  
Lev Tarasov ◽  
Tristan Hauser
Keyword(s):  
General Circulation ◽  
Climate Model ◽  
Time Integration ◽  
Predictive Testing ◽  
Internal Variability ◽  
Stochastic Approach ◽  
Turing Test ◽  
Climate Modelling ◽  
Glacial Cycle ◽  
Time Step

Abstract. This paper presents a computationally efficient stochastic approach to simulate atmospheric fields (specifically monthly mean temperature and precipitation) on large spatial-temporal scales. In analogy with Weather Generators (WG), the modelling approach can be considered a Climate Generator (CG). The CG can also be understood as a field-specific General Circulation climate Model (GCM) emulator. It invokes aspects of spatio-temporal downscaling, in this case mapping the output of an Energy Balance climate Model (EBM) to that of a higher resolution GCM. The CG produces a synthetic climatology conditioned on various inputs. These inputs include sea level temperature from a fast low-resolution EBM, surface elevation, ice mask, atmospheric concentrations of carbon dioxide, methane, orbital forcing, latitude and longitude. Bayesian Artificial Neural Networks (BANN) are used for nonlinear regression against GCM output over North America, Antarctica and Eurasia. Herein we detail and validate the methodology. To impose natural variability in the CG (to make the CG indistinguishable from a GCM) stochastic noise is added to each prediction. This noise is generated from a normal distribution with standard deviation computed from the 10 % and 90 % quantiles of the predictive distribution values from the BANNs for each time step. This derives from a key working assumption/approximation that the self-inferred predictive uncertainty of the BANNs is in good part due to the internal variability of the GCM climate. Our CG is trained against GCM (FAMOUS and CCSM) output for the last deglacial interval (22 ka to present year). For predictive testing, we compare the CG predictions against GCM (FAMOUS) output for the disjoint remainder of the last glacial interval (120 ka to 22.05 ka). The CG passes a climate Turing test, an indistinguishability test in analogy with the original Turing test for artificial intelligence. This initial validation of the Climate Generator approach justifies further development and testing for long time integration contexts such as coupled ice-sheet climate modelling over glacial cycle time-scales.

scholarly journals Key Operational Issues on the Integration of Large-Scale Solar Power Generation—A Literature Review

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5951 ◽  
Author(s):  
Wei Li ◽  
Hui Ren ◽  
Ping Chen ◽  
Yanyang Wang ◽  
Hailong Qi
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Large Scale ◽  
Solar Power ◽  
Negative Impact ◽  
Power Grid ◽  
Frequency Regulation ◽  
Solar Power Generation ◽  
Pv Power Generation ◽  
Solar Generation

Solar photovoltaic (PV) power generation has strong intermittency and volatility due to its high dependence on solar radiation and other meteorological factors. Therefore, the negative impact of grid-connected PV on power systems has become one of the constraints in the development of large scale PV systems. Accurate forecasting of solar power generation and flexible planning and operational measures are of great significance to ensure safe, stable, and economical operation of a system with high penetration of solar generation at transmission and distribution levels. In this paper, studies on the following aspects are reviewed: (1) this paper comprehensively expounds the research on forecasting techniques of PV power generation output. (2) In view of the new challenge brought by the integration of high proportion solar generation to the frequency stability of power grid, this paper analyzes the mechanisms of influence between them and introduces the current technical route of PV power generation participating in system frequency regulation. (3) This section reviews the feasible measures that facilitate the inter-regional and wide-area consumption of intermittent solar power generation. At the end of this paper, combined with the actual demand of the development of power grid and PV power generation, the problems that need further attention in the future are prospected.

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