Optimal Location and Sizing of Distributed Generation Unit Using Human Opinion Dynamics Optimization Technique

2018 ◽  
Vol 33 (2) ◽  
pp. 38-57 ◽  
Author(s):  
Shreya Mahajan ◽  
Shelly Vadhera
Keyword(s):  
Distributed Generation ◽  
Optimization Technique ◽  
Opinion Dynamics ◽  
Optimal Location ◽  
Generation Unit

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>

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.

scholarly journals Hybrid Optimization for Optimal Distributed Generation Unit Placement in Radial Distribution System

2020 ◽  
Vol 9 (3) ◽  
pp. 1971-1978
Keyword(s):  
Power System ◽  
Electric Power ◽  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Optimization Technique ◽  
Hybrid Optimization ◽  
Radial Distribution System ◽  
And Control ◽  
Generation Unit

In recent years, the demand for electric power is growing at a faster rate. This makes present time power system into a more composite one in structure and in terms of placing utility elements, operation, maintenance and control of power system to deliver the electric power to customers. To satisfy the demand for electricity is necessitate more generating units nearer to customer points and need of proper operational planning. The power loss is a major concern towards distribution system performance. Hence, minimization of losses in the system is a major consideration. The distributed generation plays significant role in satisfying the need for electricity demand and also helps in minimization of system losses by adopting intelligent algorithm technique. Among all its advantages, power losses, voltage enhancement and cost benefits are the prime areas of study in distributed generation units. So, placing and allocation of distributed generation acquire more attention towards distribution system. In this paper, an intelligent hybrid optimization technique is proposed for optimal distributed generating unit for minimizing the losses in radial distribution system. The proposed optimization technique is implemented for IEEE 33-bus system radial distribution system. The obtained simulated results provide the good applicability and enhancement in execution of the proposed hybrid method.

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>

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