Improved Newton's Method for Calculation of Power Distribution Network Theory Energy Loss

At present commonly used distribution network loss calculation theory method, the not fully consider load curve changes. Thus, the theory energy loss too small, and the management energy loss too large. On this issue, the article puts forward an improved Newtons method for distribution network theory energy loss calculation. According to the current transformer substation of 24h a distribution network power records, the trend of the model results show that the total distribution network energy loss. The experimental results show that, compared with traditional methods, improved Newtons method to calculate the result more close to the energy loss calculation theory statistical energy loss.

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Improved Newton’s Method for Calculation of Power Distribution Network Theory Energy Loss

Proceedings of the 2012 2nd International Conference on Computer and Information Applications (ICCIA 2012) ◽

10.2991/iccia.2012.429 ◽

2012 ◽

Author(s):

Xiaoming Wang ◽

Li Zhang

Keyword(s):

Energy Loss ◽

Newton’S Method ◽

Network Theory ◽

Power Distribution ◽

Newton's Method ◽

Distribution Network ◽

Power Distribution Network

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System power distribution network theory and performance with various noise current stimuli including impacts on chip level timing

2009 IEEE Custom Integrated Circuits Conference ◽

10.1109/cicc.2009.5280742 ◽

2009 ◽

Cited By ~ 21

Author(s):

Larry Smith ◽

Shishuang Sun ◽

Peter Boyle ◽

Bozidar Krsnik

Keyword(s):

Network Theory ◽

Power Distribution ◽

Distribution Network ◽

Power Distribution Network ◽

Noise Current ◽

And Performance ◽

On Chip ◽

System Power

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Power Distribution Network Expansion and Location Optimization of Additional Facilities: A Case Study

Sustainability ◽

10.3390/su13147760 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7760

Author(s):

Urooj Javed ◽

Saif Ullah ◽

Muhammad Imran ◽

Asif Iqbal Malik ◽

Nokhaiz Tariq Khan

Keyword(s):

Genetic Algorithm ◽

Energy Loss ◽

Power Distribution ◽

Fitness Function ◽

Distribution Network ◽

Distribution Networks ◽

Computational Time ◽

Power Distribution Network ◽

Cost Of Energy

Planning the power distribution network is critical and challenging; the main challenges include the multiple costs involved, selecting the appropriate locations of different nodes of the network at minimal cost, and minimizing the cost of energy loss for both the primary and secondary networks. Literature on the power distribution network presents different approaches, however, lacks to address the several issues of the complex power distribution networks and many aspects are yet to be explored; for example, the uncertain cost of energy loss. This study intends to address the gaps in the literature by proposing a four-phased approach. In doing so, first, an integer linear programming model is formulated with the objective of cost minimization. Secondly, fuzzy variables are used to tackle the parameters with uncertainty; cost of energy loss. In the third phase, a fine-tuned genetic algorithm (FT-GA) that uses the Taguchi Orthogonal Array is introduced to solve the mathematical model. It is worth mentioning that during the design of the experiment, the input parameters are crossover rate, elite count, and population size. In the last phase, a pragmatic approach is adopted and a Pakistan-based case study is used to validate the proposed model and its implication in real-life scenarios. The results exhibit that our proposed approach outperforms traditional methods like the genetic algorithm (GA) and inter-point methods in terms of fitness function value, number of generations, and computational time. This research contributes at both theoretical and managerial levels and may help decision-makers to design networks more efficiently and cost-effectively in Pakistan, Asia, and beyond.

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