Optimal placement and location of distributed generators in distorted distribution system

2014 ◽  
Author(s):  
D. Kavitha ◽  
P. Renuga ◽  
S. Muthamil Priya
Keyword(s):  
Distribution System ◽  
Optimal Placement ◽  
Distributed Generators

scholarly journals Optimal Integration of Distributed Generation in Primary Distribution System and its Economics

2019 ◽  
Vol 8 (9S) ◽  
pp. 182-190
Keyword(s):  
Analytical Method ◽  
Distribution System ◽  
Reactive Power ◽  
Distribution Network ◽  
Economic Feasibility ◽  
Optimal Placement ◽  
Maximum Loss ◽  
Distributed Generators ◽  
Ultimate Objective ◽  
Type 3

The paper analyses four types of DG (distributed generators) for their optimal placement in primary distribution system. They are sited and sized optimally to obtain maximum loss reduction. The ultimate objective of the adopted work in this paper is to identify the size and location of distributed generators for their placement in primary distribution network and to justify the economics of these placements. To serve the purpose, an analytical method is used in this paper for determination of sizes and sites for four DG types. The analytical method is considered suitable for the analysis purpose in proposed work. The paper presented a comprehensive analysis for four types of DGs for their placement in primary distribution system. The type 1 DG is capable of delivering real power only whereas type 3 DG is capable of providing real as well as reactive power to the distribution network. Out of other two types, type 2 can deliver only the reactive power whereas type 4 supplies active power but at the same time it consumes reactive power. The paper compares the economic feasibility of placement of four DG types in primary distribution system.

Optimal Placement and Sizing of Distributed Generators and Distributed-Static Compensator in Radial Distribution System

2019 ◽  
Vol 8 (1) ◽  
pp. 47-66 ◽  
Author(s):  
Mahesh Kumar ◽  
Bhagwan Das ◽  
Mazhar Hussain Baloch ◽  
Perumal Nallagownden ◽  
Irraivan Elamvazuthi ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Pso Algorithm ◽  
Optimal Placement ◽  
Radial Distribution System ◽  
Distributed Generators ◽  
Power Loss Reduction ◽  
Power Utilities ◽  
Static Compensator

The electricity demand increment, fossil fuel depletion, and environmental degradation open the interest of power utilities to utilize the distributed generation (DG) and distributed-static compensator (DSTATCOM) in the distribution system. The optimal placement and sizing of these generations have positive benefits, whereas non-optimal placement and size may worsen the existing operational characteristics of the distribution system. Therefore, this article presents a new methodology for optimal placement and sizing of distributed generation and distributed-static compensator in a radial distribution system. Moreover, a short-term planning has been made for power loss reduction with existing and increased load growth using particle swarm optimization (PSO) algorithm. The performance of proposed methodology is tested using different case studies on standard IEEE 33 bus system (RDS). The measured results are also compared with other literature methods and it is revealed that the proposed method gives more significant results.

scholarly journals A Novel Optimal Distributed Generation Planning in Distribution Network using Cuckoo Optimization Algorithm

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Ali Aranizadeh ◽  
Iman Niazazari ◽  
Mirpouya Mirmozaffari
Keyword(s):  
Distributed Generation ◽  
Optimization Algorithm ◽  
Distribution System ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Placement Problem ◽  
Cuckoo Optimization Algorithm ◽  
Distributed Generators ◽  
Generation Planning ◽  
Network Losses

The optimal sizing and placement of distributed generators have recently drawn a considerable attention to itself. This paper proposes an evolutionary cuckoo optimization algorithm (COA) for optimal placement of distributed generation (DG) in a distribution system. The optimal DG placement problem is formulated as a cost function of network losses, voltage profile, and DG expenses. The proposed method is validated on a 13-bus distribution system. The results show that any variation in the parameter’s weight in the objective function leads to a significant change in the prediction of the DG’s location and capacity.  

scholarly journals Multi-Objective Optimal Placement of Distributed Generators by Modified BAT Algorithm

2020 ◽  
Vol 9 (7) ◽  
pp. 86-91
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Electrical Power ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Electrical Power System ◽  
Continuous Growth ◽  
Distributed Generators ◽  
Load Demand ◽  
Modified Bat Algorithm

Day by day the need for electrical power is increasing due to the continuous growth and development in the social and economical status of the society. By and large in conventional electrical power system network, power flows from generating stations through transmission and distribution system to the end user. The demand for electrical power at the distribution systems is also increasing continuously. In order to meet the increase in the demand for the electrical power, it is required to increase the existing capacities of the generation and transmission & distribution system that involves lot of money and is a time consuming process. The best solution for this problem of increase in load demand is perfectly met with electric power generating units of smaller capacity which are going to be installed locally in the distribution system and are termed as “Distributed Generators (DGs)”. DGs not only supplies electrical power that meets the increase in load demand but also reduces the losses, improves the voltage profile and reliability of the system. To get maximum of these benefits, DGs are to be installed at its best optimal locations and are to be operated at its optimal generating capacities. In this work an algorithm based on MBAT is proposed to find the optimal locations and sizes of the DG units by considering the minimization of multiple objective functions like minimization of real power loss, cost function and total voltage deviation. The proposed algorithm is tested on IEEE-33 radial distribution systems and results are presented.

Optimal Placement of DG Unit in Distribution System

2014 ◽  
Vol 1070-1072 ◽  
pp. 797-803
Author(s):  
Xi Wang ◽  
Gang Chen
Keyword(s):  
Evolutionary Algorithm ◽  
Distributed Generation ◽  
Distribution System ◽  
Discrete Distribution ◽  
Optimal Placement ◽  
Distribution Model ◽  
Distributed Generators ◽  
Power Injection ◽  
On Line ◽  
Line Loss

Interconnection of distributed generators (DG) has obvious impacts on line loss in distribution system and the effects depend on interconnected location, interconnected number and power injection of distributed generation. With discrete distribution model of constant power static load system accessing DG into consideration, establishes the line loss minimum as the objective function of the model and optimizes interconnected location, interconnected number and power injection of DG using a quantum inspired evolutionary algorithm. IEEE33 diffset results show that the application of the model and the quantum-inspired evolutionary algorithm can get reasonable DG interconnected location and power injection, effectively reduce the distribution system line loss.

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