scholarly journals Analysis of day-ahead generation diagram in power network consisting of renewable energy sources

2019 ◽  
Vol 84 ◽  
pp. 01002
Author(s):  
Zsolt Čonka ◽  
Dušan Medveď ◽  
Michal Ivančák ◽  
Michal Kolcun

This article deals with the analysis of a day-ahead generation diagram in specific part of a power network with renewable energy sources. As a renewable energy source a photovoltaic power plant was chosen. Input data for a day-ahead analysis was obtained from the database of previous measurement that was realised on the existing configuration in off-grid network at the department of authors. The simulation network was created in Matlab/Simscape Power System environment that consisted of rotating generators (for regulation of generated power due to fluctuated power generation from photovoltaic sources) and photovoltaic power plant of variable energy generation and loads. The results refer to a necessity to consider the previous measured data of the weather for prediction of future expectation of a day-ahead load diagram.

2016 ◽  
Vol 54 (3) ◽  
pp. 189-207 ◽  
Author(s):  
Dubravko Frankovic ◽  
Vedran Kirincic ◽  
Vladimir Valentic

Renewable energy sources have become a considerable part of electric transmission networks as well as medium and low voltage distribution networks. Understanding the overall process from design stage up to the installation stage, followed by the commissioning and startup of renewable energy sources plants is essential knowledge that electric engineers nowadays should posses. Therefore, in the first part of the article activities, conducted at the Faculty of Engineering, University of Rijeka, Croatia, necessary for the installation of a fully operational, grid connected photovoltaic power plant with dual-axis tracking system have been described. Consequently, upon photovoltaic plant’s installation and commissioning, students are able to have ‘hands-on’ on a fully functional photovoltaic power plant and perform supervised, ‘live’ measurements and compare it with previously calculated values. Therefore, new – dedicated laboratory sessions have been introduced in an existing subject to make the most of the photovoltaic installation in the teaching process. In the second part, the article is mainly focused on the newly introduced laboratory sessions as well as on the educational framework and methodology. Some of the experiments that our students are able to perform include alternating current and direct current operating values measurements (photovoltaic string and inverter voltages, currents, power, efficiency, etc.), environmental parameters measurements (irradiance, air temperature, wind direction, velocity, etc.) and grounding parameters measurements (soil resistivity, photovoltaic plant’s grounding resistance). The acquired knowledge gained from the activities performed during our educational photovoltaic plant project realization give us the ability to propose a methodology that can be used as the key model for other universities and faculties.


Author(s):  
Mohamad Nassereddine

AbstractRenewable energy sources are widely installed across countries. In recent years, the capacity of the installed renewable network supports large percentage of the required electrical loads. The relying on renewable energy sources to support the required electrical loads could have a catastrophic impact on the network stability under sudden change in weather conditions. Also, the recent deployment of fast charging stations for electric vehicles adds additional load burden on the electrical work. The fast charging stations require large amount of power for short period. This major increase in power load with the presence of renewable energy generation, increases the risk of power failure/outage due to overload scenarios. To mitigate the issue, the paper introduces the machine learning roles to ensure network stability and reliability always maintained. The paper contains valuable information on the data collection devises within the power network, how these data can be used to ensure system stability. The paper introduces the architect for the machine learning algorithm to monitor and manage the installed renewable energy sources and fast charging stations for optimum power grid network stability. Case study is included.


2013 ◽  
Vol 4 (2) ◽  
Author(s):  
Aleksandra Kanevče ◽  
Igor Tomovski ◽  
Ljubčo Kocarev

In this paper we analyze the impact of the renewable energy sources on the overall electric power system of the Republic of Macedonia. Specifically, the effect of the photovoltaic power plants is examined. For this purpose we developed an electricity production optimization model, based on standard network flow model. The renewable energy sources are included in the model of Macedonia based on hourly meteorological data. Electricity producers that exist in 2012 are included in the base scenario. Two more characteristic years are analyzed, i.e. 2015 and 2020. The electricity producers planned to be constructed in these two years (which include the renewable energy sources) are also included. The results show that the renewable energy sources introduce imbalance in the system when the minimum electricity production is higher than the electricity required by the consumers. But, in these critical situations the production from photovoltaic energy sources is zero, which means that they produce electricity during the peak load, and do not produce when the consumption is at minimum.


2014 ◽  
Vol 983 ◽  
pp. 233-237 ◽  
Author(s):  
Zaki Suud

Design study of a synergetic system among small long life gas cooled fast reactors and renewable energy has been performed. A pump storage system is the center in the integration among considered energy sources. Using this system many renewable energy sources and the small nuclear power plant can be integrated to produce reliable energy sources which can be used for electricity production, desalination, etc. In this system each energy source can store energy by contributing pumping water from a low level reservoir to a high level reservoir. The nuclear power plant module must satisfy inherent safety requirement, and have flexibility in producing electricity, clean water (through desalination), etc. The reactor can be operated for 25 years without the necessity to refuel during that period. To achieve inherent safety capability it is important to minimized excess reactivity during burn-up to be below delayed neutron fraction value so that super prompt critical accident such as in Chernobyl accident case can be avoided. Here minimization of excess reactivity is carried out by adjusting core and blanket region width and plutonium enrichment in core regions.


Author(s):  
M. I. Balzannikov ◽  
E. G. Vyshkin

The paper presents the analysis of different types of impact the hydroelectric power plants’ reservoirs could make on the environment. Hydroelectric power plants (HPP) produce ecologically safe energy and correspond to the modern striving for sustainability because they are operated on renewable energy sources. At the same time they can provoke various potential dangers for the environment. The objective of the investigation is to demonstrate the interrelation between the type and structure of a hydroelectric power plant and the way its reservoir may impact on the nature surrounding the plant. These effects may be direct and indirect, positive and negative and vary from insignificant that can be easily fixed to those that are irreversible and catastrophic. The latter should be taken into account during the design of HPP.


An increase in the share of renewable energy sources characterized by intermittent generation leads to a decrease in the quality of electricity and the need to balance the load on the network. The methods used today for balancing the load on the generation side, as well as the use of energy storage technology, do not always provide an effective solution to the balancing problem. This is especially evident when traditional generators are transferred from the base load electricity sources to the reserve ones. The main issue is the increased electric energy losses due to the low efficiency of the power storage technology. Using the most advanced hybrid power plant Gorona del Viento (El Hierro island, Canary archipelago, Spain), which includes traditional and renewable energy sources, as reference, we are describing the methods of balancing the load on the network, which includes balancing, both the electricity generation and consumption. Using the calculation models of the hybrid power plant operating modes, the possibility of implementing various load balancing strategies on the consumption side has been demonstrated, their features have been analyzed, their effectiveness in reducing energy losses has been demonstrated.


2020 ◽  
Vol 39 (1) ◽  
pp. 228-237
Author(s):  
I.B. Anichebe ◽  
A.O. Ekwue

Frequent blackouts and unstable supply of electricity show that the  voltage instability problem has been one of the major challenges facing the power system network in Nigeria. This study investigates the voltage stability analysis of the Nigerian power network in the presence of renewable energy sources; FACTS device is used as a voltage controller. A 330kV, 28-bus power system network was studied using the PSS/E software-based Newton-Raphson load-flow technique. The results show that 10 out of the 28 buses had voltages lying below the statutory limit of 0.95 ≤ 1.05 p.u. The application of STATCOM and DFIG devices on two of the weakest buses restored the voltages to acceptable statutory limits. The total active and reactive power losses were reduced to 18.76% and 18.82% respectively. Keywords: Voltage stability analysis; Integration of renewable energy sources; FACTS controllers, Reactive Power, Power Flow.


2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Milko Yovchev ◽  
Plamen Tsankov

The paper presents technical and economic data on the development of photovoltaic electricity in Bulgaria over the last 10 years. The mix of different types of conventional and renewable energy sources in the country's electricity system is shown. The changes in the installed photovoltaic capacities and the price of electricity generated by them for the studied period are shown in tabular and graphical form. The number of photovoltaic power plants and their distribution by groups of individual powers are given. Brief technical and economic data for some of the largest photovoltaic power plants in Bulgaria are provided. Data analysis shows a short period of rapid development of highcapacity photovoltaic power plants construction after the introduction of high feed-in tariff for the purchase of photovoltaic electricity, as well as the influence of the installed photovoltaic capacities on the market change of the feed-in tariff over time. Feed-in tariff cost decreases remarkably with the increase of the installed photovoltaic capacity and even shows removal tendency for larger-capacity photovoltaic power plants. Examples of the economic profitability of grid-connected and autonomous photovoltaic systems in Bulgaria are given. The analysis and conclusions of the paper could be useful in determining new government policies and setting new market conditions to promote the development of renewable energy sources in Bulgaria and other countries.


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