scholarly journals Optimal Placement of Renewable Energy based Distributed Generation Units using MCDM Technique

2021 ◽  
Vol 6 (4) ◽  
pp. 1199-1213
Author(s):  
Manoj Kumar Bansal ◽  
Pratibha Garg ◽  
Neha Gupta ◽  
Mohini Agarwal
Keyword(s):  
Decision Making ◽  
Distributed Generation ◽  
Reactive Power ◽  
Fuzzy Topsis ◽  
Optimal Location ◽  
Optimal Placement ◽  
Multi Criteria Decision Making ◽  
Transmission Network ◽  
Topsis Technique ◽  
Generation Unit

The distribution of electricity has become a challenge as there are losses associated with its distribution and transmission. In reducing such losses employment of Distributed Generation units in the transmission network can benefit greatly. Thus, the concern is on the optimal placement of Distributed Generation units that can provide maximum benefits and optimize several conflicting attributes. In this paper, the emphasis is laid on determining an optimal location for the placement of a Distributed Generation unit under conflicting attributes such as losses, real and reactive power, and voltages at different buses. For this purpose, the Technique for Order of Preference by Similarity to best Solution a Multi-Criteria Decision-Making technique, and Fuzzy TOPSIS technique have been employed for determining the optimal placement of 10 MW Distributed Generation unit at the IEEE 20 Bus System. The results obtained can significantly benefit in reducing losses and greatly help in economical perspective as well.

Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique

2020 ◽  
pp. 730-750
Author(s):  
Mohamed Marzouk ◽  
Mohamed Abd El-Razek
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Natural Resources ◽  
Fuzzy Topsis ◽  
Waste Materials ◽  
Multi Criteria Decision Making ◽  
Demolition Waste ◽  
Construction And Demolition Wastes ◽  
Topsis Technique ◽  
Selection Of

This article describes how in developing countries, millions of tons of construction and demolition wastes (CDWs) are lost every year due to lack of knowledge of recycling significance and/or procedures. Despite the high value of CDWs, high percentage of this waste is either dumped illegally or disposed in the landfills. Disposal methods should consider saving natural resources and maintaining the environmental conditions through maximizing the value of CDWs. This article aims at choosing the most sustainable disposal alternative using Multi-Criteria Decision Making (MCDM) Process, considering several sustainability measure indicators. The research introduces a list containing the most relevant and significant sustainable indicators that affect the selection of alternative for disposal of CDWs. Then, fuzzy TOPSIS technique is applied considering the significant indicators on each alternative to rank and choose the best alternative for disposal of CDWs.

Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique

2017 ◽  
Vol 6 (2) ◽  
pp. 38-57 ◽  
Author(s):  
Mohamed Marzouk ◽  
Mohamed Abd El-Razek
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Natural Resources ◽  
Fuzzy Topsis ◽  
Waste Materials ◽  
Multi Criteria Decision Making ◽  
Demolition Waste ◽  
Construction And Demolition Wastes ◽  
Topsis Technique ◽  
Selection Of

This article describes how in developing countries, millions of tons of construction and demolition wastes (CDWs) are lost every year due to lack of knowledge of recycling significance and/or procedures. Despite the high value of CDWs, high percentage of this waste is either dumped illegally or disposed in the landfills. Disposal methods should consider saving natural resources and maintaining the environmental conditions through maximizing the value of CDWs. This article aims at choosing the most sustainable disposal alternative using Multi-Criteria Decision Making (MCDM) Process, considering several sustainability measure indicators. The research introduces a list containing the most relevant and significant sustainable indicators that affect the selection of alternative for disposal of CDWs. Then, fuzzy TOPSIS technique is applied considering the significant indicators on each alternative to rank and choose the best alternative for disposal of CDWs.

Optimal Location of Distributed Generation and its Impacts on Voltage Stability

2016 ◽  
Vol 6 (2) ◽  
pp. 504
Author(s):  
Manoj Kumar Nigam ◽  
V.K. Sethi
Keyword(s):  
Distributed Generation ◽  
Reactive Power ◽  
Optimal Location ◽  
Voltage Profile ◽  
Power Losses ◽  
Compensation Methods ◽  
Increasing Demand ◽  
Generation Unit ◽  
Bus System

<p>Distributed generation (DG) technology is based on the renewable sources of energy. Now a day’s distributed generation plays an important role of power generation utilities to fulfill the increasing demand of power at the costumer’s site. A distributed generation is the small generation unit with capacity varying from kW (kilowatt) to few MW (megawatt). The main aim of this paper is to find the solution for optimal location of connecting DG and also the disturbances in the voltage fluctuations responds to imperfection of connecting DG. A test network of IEEE-30 bus system has been simulated using PSAT 2.1.7. The compensation methods have also been developed for filtering out the disturbances caused by the DG connection. The disturbance in the voltage profile is improved by minimizing the real and reactive power losses with the help of STATCOM. The proposed approach IEEE-30-bus system was tested and the result was discussed.</p>

Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique

2020 ◽  
pp. 1396-1416
Author(s):  
Mohamed Marzouk ◽  
Mohamed Abd El-Razek
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Natural Resources ◽  
Fuzzy Topsis ◽  
Waste Materials ◽  
Multi Criteria Decision Making ◽  
Demolition Waste ◽  
Construction And Demolition Wastes ◽  
Topsis Technique ◽  
Selection Of

This article describes how in developing countries, millions of tons of construction and demolition wastes (CDWs) are lost every year due to lack of knowledge of recycling significance and/or procedures. Despite the high value of CDWs, high percentage of this waste is either dumped illegally or disposed in the landfills. Disposal methods should consider saving natural resources and maintaining the environmental conditions through maximizing the value of CDWs. This article aims at choosing the most sustainable disposal alternative using Multi-Criteria Decision Making (MCDM) Process, considering several sustainability measure indicators. The research introduces a list containing the most relevant and significant sustainable indicators that affect the selection of alternative for disposal of CDWs. Then, fuzzy TOPSIS technique is applied considering the significant indicators on each alternative to rank and choose the best alternative for disposal of CDWs.

scholarly journals Optimal Location of Distributed Generation and its Impacts on Voltage Stability

2016 ◽  
Vol 6 (2) ◽  
pp. 504
Author(s):  
Manoj Kumar Nigam ◽  
V.K. Sethi
Keyword(s):  
Distributed Generation ◽  
Reactive Power ◽  
Optimal Location ◽  
Voltage Profile ◽  
Power Losses ◽  
Compensation Methods ◽  
Increasing Demand ◽  
Generation Unit ◽  
Bus System

<p>Distributed generation (DG) technology is based on the renewable sources of energy. Now a day’s distributed generation plays an important role of power generation utilities to fulfill the increasing demand of power at the costumer’s site. A distributed generation is the small generation unit with capacity varying from kW (kilowatt) to few MW (megawatt). The main aim of this paper is to find the solution for optimal location of connecting DG and also the disturbances in the voltage fluctuations responds to imperfection of connecting DG. A test network of IEEE-30 bus system has been simulated using PSAT 2.1.7. The compensation methods have also been developed for filtering out the disturbances caused by the DG connection. The disturbance in the voltage profile is improved by minimizing the real and reactive power losses with the help of STATCOM. The proposed approach IEEE-30-bus system was tested and the result was discussed.</p>

Schemes Selection of Yarn Tension Detection and Control Based on Fuzzy Multiple Attribute Group Decision Making

2013 ◽  
Vol 694-697 ◽  
pp. 2829-2834
Author(s):  
Yan Li ◽  
Hui Min Li ◽  
Yi Li
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Topsis ◽  
Yarn Tension ◽  
Attribute Weights ◽  
Multiple Attribute ◽  
The Individual ◽  
Topsis Technique ◽  
And Control

To evaluate the yarn tension detection and control schemes in rapier looms, a fuzzy multiple-attribute group decision making problem is proposed for the schemes selection. Firstly, important degrees of every attributes from each expert are considered. The individual opinions of each expert are integrated with the similarity of the decision group. And the synthesized weights of each expert are calculated. Secondly, with the aggregation of experts opinions, the group attribute-weights matrixes are obtained. Then the fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) is used to sequence the alternatives, and the optimal scheme is decided for yarn tension detection and control system, the decision results illustrate the feasibility and effectiveness of the developed method.

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