scholarly journals Developing a Decision Tree Algorithm for Wind Power Plants Siting and Sizing in Distribution Networks

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2293
Author(s):  
Santosh Ghimire ◽  
Seyed Morteza Alizadeh
Keyword(s):  
Decision Tree ◽  
Wind Power ◽  
Power Plants ◽  
Voltage Stability ◽  
Distribution Networks ◽  
Stability Criteria ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
Wind Power Plants ◽  
Proposed Model

The interconnection of wind power plants (WPPs) with distribution networks has posed many challenges concerned with voltage stability at the point of common coupling (PCC). In a distribution network connected WPP, the short-circuit ratio (SCR) and impedance angle ratio seen at PCC (X/RPCC) are the most important parameters, which affect the PCC voltage (VPCC) stability. Hence, design engineers need to conduct the WPP siting and sizing assessment considering the SCR and X/RPCC seen at each potential PCC site to ensure that the voltage stability requirements defined by grid codes are provided. In various literature works, optimal siting and sizing of distributed generation in distribution networks (DG) has been carried out using analytical, numerical, and heuristics approaches. The majority of these methods require performing computational tasks or simulate the whole distribution network, which is complex and time-consuming. In addition, other works proposed to simplify the WPP siting and sizing have limited accuracy. To address the aforementioned issues, in this paper, a decision tree algorithm-based model was developed for WPP siting and sizing in distribution networks. The proposed model eliminates the need to simulate the whole system and provides a higher accuracy compared to the similar previous works. For this purpose, the model accurately predicts key voltage stability criteria at a given interconnection point, including VPCC profile and maximum permissible wind power generation, using the SCR and X/RPCC values seen at that point. The results confirmed the proposed model provides a noticeable high accuracy in predicting the voltage stability criteria under various validation scenarios considered.

scholarly journals Developing a Mathematical Model for Wind Power Plant Siting and Sizing in Distribution Networks

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3485
Author(s):  
Seyed Morteza Alizadeh ◽  
Sakineh Sadeghipour ◽  
Cagil Ozansoy ◽  
Akhtar Kalam
Keyword(s):  
Wind Power ◽  
Distribution System ◽  
Power Plants ◽  
Voltage Stability ◽  
Short Circuit ◽  
Maximum Size ◽  
Distribution Networks ◽  
Induction Generator ◽  
Design Engineers ◽  
Point Of Common Coupling

Wind Power Plants (WPPs) are generally located in remote areas with weak distribution connections. Hence, the value of Short Circuit Capacity (SCC), WPP size and the short circuit impedance angle ratio (X/R) are all very critical in the voltage stability of a distribution system connected WPP. This paper presents a new voltage stability model based on the mathematical relations between voltage, the level of wind power penetration, SCC and X/R at a given Point of Common Coupling (PCC) of a distribution network connected WPP. The proposed model introduces six equations based on the SCC and X/R values seen from a particular PCC point. The equations were developed for two common types of Wind Turbine Generators (WTGs), including: the Induction Generator (IG) and the Double Fed Induction Generator (DFIG). Taking advantage of the proposed equations, design engineers can predict how the steady-state PCC voltage will behave in response to different penetrations of IG- and DFIG-based WPPs. In addition, the proposed equations enable computing the maximum size of the WPP, ensuring grid code requirements at the given PCC without the need to carry out complex and time-consuming computational tasks or modelling of the system, which is a significant advantage over existing WPP sizing approaches.

scholarly journals Voltage Stability Analysis of an Interconnected Power System Considering Varied Output of Wind Power Plants

2021 ◽  
Vol 56 (3) ◽  
pp. 111-123
Author(s):  
Muhammad Bachtiar Nappu ◽  
Ardiaty Arief ◽  
Ainun Maulidah
Keyword(s):  
Power Plant ◽  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Voltage Stability ◽  
Wind Power Plant ◽  
Voltage Profile ◽  
Interconnected Power System ◽  
Wind Power Plants ◽  
Ieee Standard

A sound power system must have voltage values at all buses that do not exceed the tolerance limit of ± 5% with small power losses. Voltage instability can be caused by interference or sudden power generation outage from the system. Indonesia's Southern Sulawesi power system has been interconnected with wind power plants located in Sidrap Regency and Jeneponto Regency. Wind speed energy used by wind power plants to generate electricity vary and not always constant. Hence, this can cause fluctuations and produce varied outputs that will affect the voltage profile and stability of the Southern Sulawesi interconnection system. Therefore, it is essential to assess the voltage stability of the Southern Sulawesi power system after the integration of Sidrap and Jeneponto WPPs. First, this study analyzes the voltage profile of the Southern Sulawesi interconnection system voltage after integrating the Sidrap wind power plants and Jeneponto Wind Power Plant during the peak day load and peak night load. Second, the study assesses the voltage stability with a varied output power of both Sidrap and Jeneponto Wind Power Plant. After integrating Sidrap and Jeneponto Wind Power Plants, the results showed that the voltage values at all system buses are stable and within the IEEE standard (between 0.95 p.u. and 1.05 p.u.). In addition, the voltages of the Southern Sulawesi power system with various outputs of both WPPs are still stable and within the IEEE standard.

scholarly journals Real-time voltage stability monitoring model of wind power plant penetration in electrical power system networks

2021 ◽  
Vol 926 (1) ◽  
pp. 012031
Author(s):  
A M Ilyas ◽  
A Suyuti ◽  
I C Gunadin ◽  
S M Said
Keyword(s):  
Real Time ◽  
Wind Power ◽  
Power Plants ◽  
Voltage Stability ◽  
Stability Index ◽  
Line Number ◽  
Monitoring Model ◽  
Wind Power Plants ◽  
South Sulawesi ◽  
The Stability

Abstract The intermittent output power of wind power plants can affect the stability of the power grid, so a real-time monitoring model is needed. This study uses data from the southern Sulawesi network which is interconnected with wind power plants in real-time, and the IEEE 30 bus data is used as method validation. The method used is the New Voltage Stability Index (NVSI) based on Matlab. The results of the stability index on the IEEE 30 bus data are < 1 or are at the standard of stable criteria, namely 0.95 p.u. The result of the stability index of the South Sulawesi network is line number 49 from Latuppa to Poso has the highest value of 0.0473, the second is line number 18 from Bosowa to Tello is 0.0390, and the third is line number 24 from Tello 30kV to Barawaja is 0.0221, the other bus voltages have lower values. So it can be concluded that the network of South Sulawesi is stable, and intermittent wind power has no effect on voltage stability.

scholarly journals Generation of Hydro Energy by Using Data Mining Algorithm for Cascaded Hydropower Plant

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 298
Author(s):  
Iram Parvez ◽  
Jianjian Shen ◽  
Ishitaq Hassan ◽  
Nannan Zhang
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Energy Production ◽  
Power Plants ◽  
Hydropower Plant ◽  
Data Mining Algorithm ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
Interaction Detection ◽  
Hydropower Plants

The thirst of the Earth for energy is lurching towards catastrophe in an era of increasing water shortage where most of the power plants are hydroelectric. The hydro-based power systems are facing challenges in determining day-ahead generation schedules of cascaded hydropower plants. The objective of the current study is to find a speedy and practical method for predicting and classifying the future schedules of hydropower plants in order to increase the overall efficiency of energy by utilizing the water of cascaded hydropower plants. This study is significant for water resource planners in the planning and management of reservoirs for generating energy. The proposed method consists of data mining techniques and approaches. The energy production relationship is first determined for upstream and downstream hydropower plants by using multiple linear regression. Then, a cluster analysis is used to find typical generation curves with the help of historical data. The decision tree algorithm C4.5, Iterative Dichotomiser 3-IV, improved C4.5 and Chi-Squared Automatic Interaction Detection are adopted to quickly predict generation schedules, and detailed comparison among different algorithms are made. The decision tree algorithms are solved using SIPINA software. Results show that the C4.5 algorithm is more feasible for rapidly generating the schedules of cascaded hydropower plants. This decision tree algorithm is helpful for the researchers to make fast decisions in order to enhance the energy production of cascaded hydropower plants. The major elements of this paper are challenges and solution of head sensitive hydropower plants, using the decision-making algorithms for producing the generation schedules, and comparing the generation from the proposed method with actual energy production.

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