scholarly journals A decision making algorithm for wind power plant based on q-rung orthopair hesitant fuzzy rough aggregation information and TOPSIS

2022 ◽  
Vol 7 (4) ◽  
pp. 5241-5274
Author(s):  
Attaullah ◽  
◽  
Shahzaib Ashraf ◽  
Noor Rehman ◽  
Asghar Khan ◽  
...  
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Cost Effectiveness ◽  
Wind Energy ◽  
Wind Power ◽  
Rough Set ◽  
Fuzzy Set ◽  
Power Plants ◽  
Aggregation Operators ◽  
Wind Power Plants

<abstract><p>Wind energy is one of the most significant renewable energy sources due to its widespread availability, low environmental impact, and great cost-effectiveness. The effective design of ideal wind energy extraction areas to generate electricity is one of the most critical issues in the exploitation of wind energy. The appropriate site selection for wind power plants is based on the concepts and criteria of sustainable environmental advancement, resulting in a low-cost and renewable energy source, as well as cost-effectiveness and job creation. The aim of this article is to introduce the idea of q-rung orthopair hesitant fuzzy rough set (q-ROHFRS) as a robust fusion of q-rung orthopair fuzzy set, hesitant fuzzy set, and rough set. A q-ROHFRS is a new approach towards modeling uncertainties in the multi-criteria decision making (MCDM). Various key properties of q-ROHFRS and some elementary operations on q-ROHFRSs are established. A list of novel q-rung orthopair hesitant fuzzy rough weighted geometric aggregation operators are developed on the basis of defined operational laws for q-ROHFRSs. Further, a decision making algorithm is developed to handle the uncertain and incomplete information in real word decision making problems. Then, a multi-attribute decision making method is established using q-rung orthopair hesitant fuzzy rough aggregation operators. Afterwards, a practical case study on evaluating the location of wind power plants is presented to validate the potential of the proposed technique. Further, comparative analysis based on the novel extended TOPSIS method is presented to demonstrate the capability of the proposed technique.</p></abstract>

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.

Thermo-Ecological Cost of Electricity Generated in Wind Turbine Systems

2018 ◽  
Vol 141 (3) ◽  
Author(s):  
Tomasz Simla ◽  
Wojciech Stanek ◽  
Lucyna Czarnowska
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Wind Power ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Wind Generation ◽  
Renewable Energy Consumption ◽  
Major Drawback ◽  
Wind Power Plants ◽  
Ecological Cost

Wind power is one of the most popular renewable energy sources (RES), characterized by rapid growth of installed power in the energy mix of many countries. Usually, the influence of wind technologies on the depletion of nonrenewable resources is evaluated taking into account the consumption of energy and materials in the construction phase. However, it should be noted that the major drawback of wind energy is its random availability which also influences the consumption of resources. This consumption results from the necessity of compensation for random operation of wind power plants by conventional ones operating in off-design point. In the present work, thermo-ecological cost (TEC) is proposed for the evaluation of the performance of wind generation systems operating with random accessibility of wind energy. The presented analysis focuses on the estimation of additional non-renewable energy consumption due to the part-load operation of the conventional power units. Different strategies are assumed for the compensation for the hourly wind power variations. The presented results of TEC analysis show that the part of TEC resulting from induced losses can be significant. The authors prove that, within the assessment of wind turbines, the induced losses cannot be omitted.

scholarly journals Distribusi Weibull Kecepatan Angin Wilayah Kecamatan Pangarengan Kabupaten Sampang Madura

2019 ◽  
Vol 4 (1) ◽  
pp. 57
Author(s):  
Arin Wildani ◽  
Septiana Kurniasari
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Wind Energy ◽  
Weibull Distribution ◽  
Wind Power ◽  
Power Plants ◽  
Secondary Data ◽  
Energy Availability ◽  
Fossil Energy ◽  
Wind Power Plants

ABSTRAK Ketergantungan Indonesia terhadap ketersediaan energi fosil menjadi masalah baru dalam kelangsungan hidup rakyat Indonesia di masa yang akan datang. Energi fosil yang bersifat terbatas dan tidak terbarukan akan habis dalam kurun waktu tertentu. Sehingga diperlukan langkah baru untuk menggunakan energi baru dan terbarukan seperti energi angin. Penelitian ini dilakukan untuk mengetahui potensi pembangunan pembangkit listrik tenaga angin di wilayah Kecamatan Pangarengan Kabupaten Sampang Madura.  Penelitian ini dilakukan dengan cara menganalisa kecepatan angin berdasarkan data dari pengukuran anemometer menggunakan distribusi Weibull. Data yang digunakan yaitu data sekunder yang didapatkan dari dari BMKG Kalianget Sumenep. Berdasarkan distribusi weibull didapatkan bahwa parameter  k sebesar 2,67dan c sebesar 2,88. Dari nilai k dan c didapatkan bahwa persentase probabilitas energi angin paling banyak pada tahun 2016 yaitu 2,5 m/s sebanyak 45%  sedangkan tahun 2017 sebesar 2,6 m/s dengan probabilitas 70%.Kata kunci: energi angin, kecamatan pangarengan, distribusi weibull ABSTRACTIndonesia's dependence on fossil energy availability is a new problem in the survival of the Indonesian people in the future. Fossil energy that is limited and non-renewable will run out in a certain period of time. So that new steps are needed to use new and renewable energy such as wind energy. This research was conducted to determine the potential for the construction of wind power plants in the Pangarengan District, Sampang Madura District. This research was conducted by analyzing wind speed based on data from anemometer measurements using the Weibull distribution. The data used are secondary data obtained from BMKG Kalianget Sumenep. Based on the weibull distribution it was found that the parameters k were 2.67 and c were 2.88. From the values of k and c, it was found that the percentage of probability of wind energy was the most in 2016, which was 2.5 m/s as much as 45% while in 2017 it was 2.6 m / s with a probability of 70%.

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 Special Aspects of Using the Wind Power Plants In the Power Supply System

2021 ◽  
Vol 288 ◽  
pp. 01003
Author(s):  
Saken Koyshybaevich Sheryazov ◽  
Sultanbek Sansyzbaevich Issenov ◽  
Ruslan Maratbekovich Iskakov ◽  
Argyn Bauyrzhanuly Kaidar
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Wind Power ◽  
Wind Turbines ◽  
Power Plants ◽  
Power Grid ◽  
Renewable Energy Sources ◽  
Power Grids ◽  
Energy Sources ◽  
Wind Power Plants

The paper describes special aspects of using the wind power plants (wind turbines) in the power grid. The paper provides the classification and schematic presentation of AC wind turbines, analyzes the role, place and performance of wind power plants in Smart Grid systems with a large share of renewable energy sources. The authors also reviews a detailed analysis of existing AC wind turbines in this paper. Recommendations are given for how to enhance the wind power plants in smart grids in terms of reliability, and introduce the hardware used in the generation, conversion and interface systems into the existing power grid. After the wind power plants had been put online, the relevance of the Smart Grid concept for existing power grids was obvious. The execution of such projects is assumed to be financially costly, requires careful study, and development of flexible algorithms, but in some cases this may be the only approach. The analysis of using wind turbines shows that the structural configuration of wind power plants can be based on the principles known in the power engineering. The approaches may differ, not fundamentally, but in engineering considerations. it is necessary to point out that the method of controlling dual-power machines is quite comprehensive so that their wide use will face operational problems caused by the lack of highly professional specialists in electric drives. Therefore, it seems advisable to use square-cage asynchronous generators in wide applications. The paper shows that as the renewable energy sources are largely used in power grids, there is an issue of maintaining the power generation at a required level considering the variability of incoming wind energy. This results in the malfunctions in the operation of relay protection devices and emergency control automatics (RP and ECA), and the complicated control. Also, the standards of the CIS countries and regulatory documents miss the requirements for the wind turbine protections, taking into account their specialty causing the inefficient standard protective logic, which does not work correctly in a number of abnormal and emergency operating modes, and especially Smart Grid in power grids.

scholarly journals Decision Support Technique Based on Spherical Fuzzy Yager Aggregation Operators and Their Application in Wind Power Plant Locations: A Case Study of Jhimpir, Pakistan

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Ronnason Chinram ◽  
Shahzaib Ashraf ◽  
Saleem Abdullah ◽  
Pattarawan Petchkaew
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Fuzzy Sets ◽  
Wind Power ◽  
Power Plants ◽  
Multicriteria Decision Making ◽  
Detailed Comparison ◽  
Aggregation Operators ◽  
Wind Power Plant ◽  
Operational Laws

The problem of energy crisis and environmental pollution has been mitigated by the generation and use of wind power; however, the choice of locations for wind power plants is a difficult task because the decision-making process includes political, socioeconomic, and environmental aspects. Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of wind power plant locations. Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets. The main characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of the positive, neutral, and negative grades must be at least zero and at most one. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under spherical fuzzy environments (SFE). Furthermore, based on these Yager operational laws, we develop list of novel aggregation operators under SFE. In addition, we design an algorithm to tackle the uncertainty to investigating the best wind power plant selection in four potential locations in Pakistan. A numerical example of wind power plant location problem is considered to show the supremacy and effectiveness of the proposed study. Also, a detailed comparison is constructed to evaluate the performance and validity of the established technique.

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.

The use and comparison of a deterministic, a stochastic, and a hybrid multiple-criteria decision-making method for site selection of wind power plants: An application in Turkey

2019 ◽  
Vol 44 (1) ◽  
pp. 60-74
Author(s):  
Emin Sertaç Arı ◽  
Cevriye Gencer
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Wind Power ◽  
Site Selection ◽  
Power Plants ◽  
Multiple Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Wind Power Plants ◽  
Simulation Based ◽  
Hierarchy Process

Clean domestic energy is an attractive option, especially for developing countries. Wind has been one of the most appealing renewable energy sources for those as of the beginning of the 20th century. This study focuses on an important work item of the establishment phase of this important energy source: power plant site selection. Three approaches were examined based on multiple-criteria decision-making methods. Stochastic multi-criteria acceptability analysis (a simulation-based approach with different kinds of uncertain information), analytic hierarchy process (a conventional deterministic approach), and AHP-SMAA (a hybrid approach) were applied separately in Turkey. In terms of novelty, analyses were conducted both with (analytic hierarchy process) and without (stochastic multi-criteria acceptability analysis) the preference information of the decision makers. The unique hybrid method integrates stochastic multi-criteria acceptability analysis with analytic hierarchy process to allow the simulation-based experiments with deterministic variables. As a result of the approaches, the same region (Burhaniye-Pelitköy) showed up as the optimal site to establish wind power plants at every turn. The techniques are globally applicable as long as the computational data and all parameters are gathered completely.

Sign in / Sign up

Export Citation Format

Share Document