Voltage control by small hydro power plants integrated into a virtual power plant

Author(s):  
D. Unger ◽  
L. Spitalny ◽  
J.M.A. Myrzik
2018 ◽  
Vol 73 ◽  
pp. 01017
Author(s):  
Ignatius Sriyana

Land degradation on the upstream of watershed will affect hydrology condition in a way that it will disrupt the sustainability of its existing micro hydro. The purpose of this study is to evaluate micro hydro power plant in central Java toward sustainability against hydrology condition of watershed. This study is using River Regime Coefficient (RRC) approach where hydrology of watershed with coefficient value less than 50 is classified as non-critical, between 50 and 120 is moderate and more than 120 is critical. Result of the study that was done on 33 micro hydro power plants scattered on 9 watersheds is showing that there are 2 power plants on 2 watersheds have hydrology condition in non-critical status (9.09%), 1 power plant on 1 watershed is in between critical and non-critical status (3.03%), 21 power plants on 3 watersheds are in between critical and moderate status (63.64%), 8 power plants on 6 watersheds are in critical status (21.21%) and 1 power plant on 1 watershed is in between moderate and critical status (3.03%).


2018 ◽  
Vol 4 (1) ◽  
pp. 77-86
Author(s):  
Nuno Fonseca ◽  
André Madureira ◽  
João Peças Lopes ◽  
Manuel Matos

This work is within the scope of set of consultancy studies made for Portuguese islands. It focuses on the integration of Pumped Storage Power in isolated islands. The paper starts to address several power systems circumstances about two Portuguese islands on the energetic level. For each of these islands, an independent examination of the conditions to install a reversible hydro power plant is accomplished. Therefore, the energy volume to be stored due to excess of renewable generation and the ideal power and number of the pumps and turbines to be installed were identified and evaluated for the sake of using the produced energy surplus as to be pumped and later generated. The paper enhances the importance of storing energy in the operation of isolated and small systems with considerable amount of intermittent power resources as well as the conditions for the viability of installing new exploitations of this kind.


2019 ◽  
Vol 11 (2) ◽  
pp. 129-137
Author(s):  
Nurul Dyah Pratiwi ◽  
Isdiyato Isdiyato

Microhydro power plant (MPP) is a small-scale power plant that uses water energy. The process of energy change occurs in a device called a synchronous generator. when the synchronous generator is given an arbitrary load, then the voltage will change. These results cause voltage and frequency instability. This research was conducted to analyze the voltage and frequency instability in MPP. The research method used in this research is descriptive quantitative approach in the village of Soko Kembang, Petungkriyono District, Pekalongan Regency, Central Java. This study provides an overview and explanation of the problems regarding the voltage and frequency instability of Micro Hydro Power Plants. The results of this study are the highest and lowest voltage / frequency instability values, namely 235 volts / 51 Hz and 160 volts / 44 Hz, due to the influence of changes in load current, which can affect the rotational speed of the generator changes, resulting in unstable voltage and frequency generated by the generator, the rotational speed of the generator changes, resulting in unstable voltage and frequency generated by the generator. The solution is  add water power to rotate the shaft of the turbine and generator to be tighter, so that it can reduce the value of the decrease in electric power by losses to the turbine and generator. Large electric power can increase voltage and frequency without having to adjust the load, and the need for improvement of the ELC system in order to get a more effective value of voltage and frequency stability.  


2018 ◽  
Vol 56 (1) ◽  
pp. 81
Author(s):  
Duc Huu Nguyen

Small distributed energy sources could be aggregated to form a virtual power plant (VPP) in order to overall improve technical and market issues. VPPs should be composed of several distributed batteries (DB) to solve the problem of intermittency due to wind and solar. This paper presents an approach to balance state of charge batteries. It is therefore to improve the lifetime of batteries in VPPs. According to the proposed method, the real-time SOC of DB will be tracking on the balancing SOC determined in VPP. During operation, the difference of SOC among DBs will be shrunk and finally the share of exchange power among DB is equal. Moreover, the duration time to achieve the balancing SOC can be determined by adjusting the exponent parameter of SOC in the presented function.


2018 ◽  
Vol 17 (3) ◽  
pp. 393
Author(s):  
I Putu Juliana ◽  
Antonius Ibi Weking ◽  
Lie Jasa

The dependence of power plants on energy sources such as diesel, natural gas and coal is almost 75%, encouraging the development of renewable energy in an effort to meet the electricity supply. One of them is the micro hydro power plant by utilizing the potential of existing water. The working principle of PLTMH is to change the potential energy of water into electrical energy. In this final project has been designed modeling of micro hydro power plant by using screw turbine (Archimedes Screw). The turbine used resembles a drill bit, with a diameter of a turbine of 26 cm, a screw width of 10 cm, and an amount of 10 pieces of blade. Measurements made on the modeling of micro hydro power plants include: water discharge, turbine rotation, generator rotation, voltage, current, torque and generator output power and efficiency. The parameters are measured by changing the water fall on the turbine from the position of the turbine head angle 00, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 700, 800  and 900 . The result of measurement that has been done on the parameters of micro hydro power plant modeling, obtained the highest measurement result at the corner of turbine head 400. The output power generated is 10.92 watts, torque is 0.60 Nm and efficiency of 14%. The results obtained are still low because the turbine rotation is less able to rotate the generator, where the generator torque is greater than the torque in the turbine. This is influenced by the small water discharges in the modeling of this micro hydro power plant.


2015 ◽  
Vol 785 ◽  
pp. 627-631 ◽  
Author(s):  
Hei Wei ◽  
Rasyidah Mohamed Idris

Datong area has abundant wind energy. Due to problem in large scale of wind power grid connection, this paper introduces virtual power plant concept. As for beginning, power source characteristics of the wind farm, pumped storage power station and the thermal power plant are taken for analysis. Three types of different power plants are chosen to represent the virtual power plant modeling as well as adopting the NSGA2 optimization. As a conclusion, this case study proved that virtual power plant can increase the benefits of each power plant and the wind power plant output power curve become smoother.


2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Cornelia Krome ◽  
Jan Höft ◽  
Volker Sander

Abstract In Germany and many other countries the energy market has been subject to significant changes. Instead of only a few large-scale producers that serve aggregated consumers, a shift towards regenerative energy sources is taking place. Energy systems are increasingly being made more flexible by decentralised producers and storage facilities, i.e. many consumers are also producers. The aggregation of producers form another type of power plants: a virtual power plant. On the basis of aggregated production and consumption, virtual power plants try to make decisions under the conditions of the electricity market or the grid condition. They are influenced by many different aspects. These include the current feed-in, weather data, or the demands of the consumers. Clearly, a virtual power plant is focusing on developing strategies to influence and optimise these factors. To accomplish this, many data sets can and should be analysed in order to interpret and create forecasts for energy systems. Time series based analytics are therefore of particular interest for virtual power plants. Classifying the different time series according to generators, consumers or customer types simplifies processes. In this way, scalable solutions for forecasts can be found. However, one has to first find the according clusters efficiently. This paper presents a method for determining clusters of time series. Models are adapted and model-based clustered using ARIMA parameters and an individual quality measure. In this way, the analysis of generic time series can be simplified and additional statements can be made with the help of graphical evaluations. To facilitate large scale virtual power plants, the presented clustering workflow is prepared to be applied on big data capable platforms, e.g. time series stored in Apache Cassandra, analysed through an Apache Spark execution framework. The procedure is shown here using the example of the Day-Ahead prices of the electricity market for 2018.


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