scholarly journals Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation

Energies ◽  
2013 ◽  
Vol 6 (2) ◽  
pp. 1101-1124 ◽  
Author(s):  
Ran Li ◽  
Huizhuo Ma ◽  
Feifei Wang ◽  
Yihe Wang ◽  
Yang Liu ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Optimization Theory ◽  
System Expansion ◽  
Expansion Planning

scholarly journals Li, R.; Ma, H.; Wang, F.; Wang, Y.; Liu, Y.; Li, Z. Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation. Energies 2013, 6, 1101–1124

Energies ◽  
2014 ◽  
Vol 7 (2) ◽  
pp. 1048-1049
Author(s):  
Ran Li ◽  
Huizhuo Ma ◽  
Feifei Wang ◽  
Yihe Wang ◽  
Yang Liu ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Optimization Theory ◽  
System Expansion ◽  
Expansion Planning

Distribution system expansion planning incorporating distributed generation

2016 ◽  
Author(s):  
Rahul Kumar Malee ◽  
Prerna Jain ◽  
Pranda Prashant Gupta ◽  
Sharma Suman Dharampal
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
System Expansion ◽  
Expansion Planning

scholarly journals Optimum Distribution System Expansion Planning Incorporating DG Based on N-1 Criterion for Sustainable System

2021 ◽  
Vol 13 (12) ◽  
pp. 6708
Author(s):  
Hamza Mubarak ◽  
Nurulafiqah Nadzirah Mansor ◽  
Hazlie Mokhlis ◽  
Mahazani Mohamad ◽  
Hasmaini Mohamad ◽  
...  
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Industrial Revolution ◽  
Optimal Solution ◽  
Search Space ◽  
Planning Problem ◽  
System Expansion ◽  
Optimum Distribution ◽  
Optimal Sizing ◽  
Expansion Planning

Demand for continuous and reliable power supply has significantly increased, especially in this Industrial Revolution 4.0 era. In this regard, adequate planning of electrical power systems considering persistent load growth, increased integration of distributed generators (DGs), optimal system operation during N-1 contingencies, and compliance to the existing system constraints are paramount. However, these issues need to be parallelly addressed for optimum distribution system planning. Consequently, the planning optimization problem would become more complex due to the various technical and operational constraints as well as the enormous search space. To address these considerations, this paper proposes a strategy to obtain one optimal solution for the distribution system expansion planning by considering N-1 system contingencies for all branches and DG optimal sizing and placement as well as fluctuations in the load profiles. In this work, a hybrid firefly algorithm and particle swarm optimization (FA-PSO) was proposed to determine the optimal solution for the expansion planning problem. The validity of the proposed method was tested on IEEE 33- and 69-bus systems. The results show that incorporating DGs with optimal sizing and location minimizes the investment and power loss cost for the 33-bus system by 42.18% and 14.63%, respectively, and for the 69-system by 31.53% and 12%, respectively. In addition, comparative studies were done with a different model from the literature to verify the robustness of the proposed method.

DG integrated distribution system expansion planning with uncertainties

2018 ◽  
Vol 35 (5) ◽  
pp. 4997-5006 ◽  
Author(s):  
Rahul Kumar Malee ◽  
Ashok Singh Chundawat ◽  
Niharika Maliwar ◽  
Avadhesh Kumar sharma
Keyword(s):  
Distribution System ◽  
System Expansion ◽  
Expansion Planning
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