Distribution System Expansion Planning Using Enhanced Version Boltzmann Machine

2019 ◽  
pp. 43-49
Author(s):  
Siti Hajar Mohd Tahar ◽  
Shamshul Bahar Yaakob ◽  
Amran Ahmed
Keyword(s):  
Distribution System ◽  
System Expansion ◽  
Boltzmann Machine ◽  
Expansion Planning

scholarly journals A Modified Boltzmann Machine for Solving Distribution System Expansion Planning in Malaysia

2018 ◽  
Vol 12 (1) ◽  
pp. 193
Author(s):  
Siti Hajar Mohd Tahar ◽  
Shamshul Bahar Yaakob ◽  
Amran Ahmed
Keyword(s):  
Neural Network ◽  
Distribution System ◽  
Lower Layer ◽  
Hopfield Network ◽  
Mixed Integer ◽  
Computational Time ◽  
System Expansion ◽  
Boltzmann Machine ◽  
Expansion Planning ◽  
Integer Quadratic Programming

<p>This paper proposes an effective technique to solve Distribution System Expansion Planning (DSEP) problem by using the artificial neural network. The proposed technique will be formulated by using mean-variance analysis (MVA) approach in the form of mixed-integer quadratic programming problem. It consists of two layers neural network which combine Hopfield network and Boltzmann machine (BM) in upper and lower layer respectively named as Modified BM. The originality of the proposed technique is it will delete the unit of the second layer, which is not selected in the first layer in its execution. Then, the second layer is restructured using the selected units. Due to this feature, the proposed technique will improve time consuming and accuracy of solution. Referring to the case study demonstrated in this paper, the significance outputs obtained are the improvement in computational time and accuracy of solution provided. As the solution provided various of options, the proposed technique will help decision makers in solving DSEP problem. As a result, the performance of strategic investment planning in DSEP certainly enhanced.</p>

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

Load modeling of active low‐voltage consumers and comparative analysis of their impact on distribution system expansion planning

2019 ◽  
Vol 29 (8) ◽  
Author(s):  
Nelson Knak Neto ◽  
Alzenira da Rosa Abaide ◽  
Vladimiro Miranda ◽  
Phillipe Vilaça Gomes ◽  
Leonel Carvalho ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Distribution System ◽  
Low Voltage ◽  
System Expansion ◽  
Load Modeling ◽  
Expansion Planning
Sign in / Sign up

Export Citation Format

Share Document