Evaluating the relative operational performance of wind power plants in Indian electricity generation sector using two-stage model

2021 ◽  
pp. 0958305X2110435
Author(s):  
Rajeev Kumar ◽  
Pavan Khetrapal ◽  
Manoj Badoni ◽  
Sourav Diwania
Keyword(s):  
Data Envelopment Analysis ◽  
Wind Energy ◽  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Production Efficiency ◽  
Positive Impact ◽  
Data Envelopment ◽  
Two Stage ◽  
Wind Power Plants

Nowadays, to fulfill growing power requirements at reasonable prices, like other European countries, the Indian electricity market is now more oriented towards renewable energy resources. Today, the wind energy industry has grown from a marginal activity to a multi-billion-dollar business in India's power production sector because of its comparatively safer and positive environmental features. Though, there are several wind energy power plants generating electricity in India's different geographical locations, assessing their performance is a crucial task and an important target for stakeholders. In the present study, an attempt is made to quantitatively assess the relative operational efficiencies of 14 wind power plants in India during 2016–2017 to 2019–2020 employing a two-stage data envelopment analysis Tobit model. Further, the sensitivity analysis is implemented in the present study to assess the robustness and efficacy of the data envelopment analysis models with different combinations of inputs and outputs. Data envelopment analysis results indicate that 14% of India's wind power plants were operated at the most productive scale during the observed period 2016–2017 to 2019–2020. The Tobit regression results indicate that the wind turbines’ age adversely affects production efficiency. In contrast, the site elevation has a significant positive impact on the operational efficiency of wind power plants. Findings from the present study may help stakeholders and policy regulators in the wind industry to identify the key factors influencing the performance of ongoing wind power plants in India and optimize operational strategies and policies.

scholarly journals On the effect of spatial dispersion of wind power plants on the wind energy capacity credit in Greece

2008 ◽  
Vol 3 (1) ◽  
pp. 015003 ◽  
Author(s):  
George Caralis ◽  
Yiannis Perivolaris ◽  
Konstantinos Rados ◽  
Arthouros Zervos
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Power Plants ◽  
Spatial Dispersion ◽  
Energy Capacity ◽  
Wind Power Plants

scholarly journals Encompassing Electricity Market Predictions and Weather Forecasts in Power Plan O&M Strategies

2017 ◽  
Author(s):  
Linda Ponta ◽  
Luca Oneto ◽  
Davide Anguita ◽  
Silvano Cincotti
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Weather Condition ◽  
Weather Conditions ◽  
Fixed Time ◽  
Important Variable ◽  
Electricity Price ◽  
Maintenance Schedule ◽  
Wind Power Plants

The paper deals with the problem of choosing the best O&M strategy for wind power plants. Current maintenance theory considers just production opportunities and minimizes the maintenance costs, but with the liberalization of the electricity market also the electricity price has become an important variable to take into account in the O&M scheduling. Another important variables that is often neglected by the existing maintenance theory is the weather condition. This paper proposes a new strategy that takes into account the electricity price and weather conditions, improves the expected profit of the systems, and reduce the overall maintenance and logistic costs. The maintenance schedule is formalized as an optimization problem where the discounted cumulative profit of a wind generation portfolio in a fixed-time horizon (e.g. two years ahead), subject to the technologically-derived maintenance time constraints is optimized. Both the theoretical and computational aspects of the proposed O&M strategy are discussed. Results show that taking into account market and weather opportunities in the design of the maintenance strategy, it is possible to achieve a more complete scheduling for a given set of wind power plants.

Transient Stability Improvement of a System Connected with Wind Energy Generators

2017 ◽  
Vol 18 (5) ◽  
Author(s):  
S. Surender Reddy ◽  
Kishore Prathipati ◽  
Young Hwan Lho
Keyword(s):  
Control System ◽  
Power System ◽  
Wind Energy ◽  
Wind Power ◽  
Power Plants ◽  
Transient Stability ◽  
Induction Machines ◽  
Pitch Control ◽  
Wind Power Plants ◽  
The Stability

AbstractThis paper proposes a methodology to improve the transient stability (TS) of a system with wind energy generators. Induction machines are used widely as generators in the wind power plants. As these induction machines also have the stability problem like other synchronous machines, it is very important to analyze the TS of a system including the wind power plants. In this paper, the simulations and analysis of TS of power system including the induction generators during the short circuit fault conditions are carried out. The effect of pitch angle control on the stability of power system is analyzed. From the simulation results, it can be observed that the pitch control system which prevents the excess wind speed has the significant effect on the TS enhancement of the system. It can also be observed that the controller gain and time constant values have considerable effect on the pitch control system.

Optimal location and rating of wind power plants in competitive electricity market

2017 ◽  
Vol 9 (4) ◽  
pp. 043306 ◽  
Author(s):  
Anuj Banshwar ◽  
Naveen Kumar Sharma ◽  
Yog Raj Sood ◽  
Rajnish Shrivastava
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Optimal Location ◽  
Wind Power Plants

Investigation of accurate location planning for wind farm establishment: a case study

2019 ◽  
Vol 18 (4) ◽  
pp. 821-845
Author(s):  
Ali Mostafaeipour ◽  
Sajjad Sadeghi ◽  
Mehdi Jahangiri ◽  
Omid Nematollahi ◽  
Ali Rezaeian Sabbagh
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Wind Power ◽  
Power Plants ◽  
Dual Model ◽  
Content Type ◽  
Wind Power Plants ◽  
Dea Method ◽  
East Azerbaijan ◽  
First Time

Purpose Wind as a major source of renewable energy has received tremendous attentions due to its unique features to reduce carbon emission and also to keep the environment safe. Nevertheless, to use wind energy properly, the environmental circumstances and geographical location related to wind intensity should be considered as a priority. Different factors may affect the selection of a suitable location for developments of wind power plants; thus, these factors should be considered concurrently to identify the optimum location of wind plants. Design/methodology/approach In this study, first, basic data envelopment analysis (DEA) was used, then dual DEA was used and, finally, Anderson Petersen (AP) model of dual DEA was selected to prioritize cities or decision-making units (DMUs). Numerical Taxonomy (NT) method was also used to assess the validity of AP dual model in DEA. The prescribed approach was applied for five cities in East Azerbaijan province of Iran. Findings The results indicate that wind power as a renewable energy can be harnessed in few cities, and the ranking by DEA illustrated that the city of Tabriz is the first priority. Practical implications Low environmental degradation effects in comparison to other methods and the ability to utilization at a widespread level include the benefits of using wind energy in the generation of electricity. In this regard, the study of relevant potentials and finding suitable locations for the deployment of wind energy utilization equipment are essential. Using DEA method helps us to choose optimal locations according to different criteria. Social implications Wind energy is justifiable in reducing social costs in comparison with fossil fuel plants, which includes negative effects, and its electricity can be used as a sustainable energy in the country's economic, social and cultural development. Originality/value For identifying the most proper location for development of wind power plants in Iran, DEA is applied for the first time to prioritize the suitable locations for installations of wind turbines among five different cities in the East Azerbaijan region. A number of crucial factors including land price, distance to power, rate of natural hazards, wind speed and topography are considered for location optimization of wind turbines for the first time. Also, to validate the results of DEA method, NT method is used to assess the validity of AP dual model in DEA.

scholarly journals The main types of wind turbines-generators in the power supply system

2022 ◽  
Vol 23 (5) ◽  
pp. 24-33
Author(s):  
S. K. Sheryazov ◽  
S. S. Issenov ◽  
R. M. Iskakov ◽  
A. B. Kaidar
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Wind Turbines ◽  
Smart Grids ◽  
Power Plants ◽  
Power Conversion ◽  
Power Converter ◽  
Wind Energy Conversion ◽  
Wind Power Plants ◽  
Asynchronous Generator

PURPOSE. Conduct a detailed analysis of existing wind turbines. Analyze the role, place and features of the functioning of wind power plants. Provide various options for generators and schemes for converting wind energy into electricity. Provide recommendations for improving the reliability of wind turbines in smart grids.METHODS. The article was prepared using analytical methods, statistical, theoretical, factorial and technical methods.RESULTS. A fixed speed asynchronous generator used in a wind power conversion system (WECS) without a power converter interface draws a significant portion of the reactive power from the grid. This configuration features simple, reliable operation. Wind turbine asynchronous generator with dual power supply. can improve overall power conversion efficiency by performing maximum power point tracking (MPPT), and an increase in speed of about 30% can improve dynamic performance and increase resilience to system disturbances that are not available for turbine types 1 and 2. The use of full-scale 100% power converters will significantly increase the productivity of SPEV wind energy conversion systems, but will slightly increase the cost of the power converter, up to 7% - 12% of the total equipment cost. By using a large number of pole pairs for all types of permanent magnet synchronous generator (PMG), the turbine gearbox can be removed. This type of wind energy conversion system is more resilient to grid disruptions compared to type 1, 2 and 3 wind systems. The review shows that types 3 and 4 technologies are used to most efficiently sell and recycle wind turbines in electricity markets.CONCLUSION. The article analyzes the features of the functioning of wind power plants operating on the grid. Various options for generators and schemes for converting wind energy into electricity are presented. A detailed analysis of existing wind turbines is provided. Recommendations are given for improving the reliability and efficiency of wind power plants in smart grids.

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