Optimal planning of distributed energy resources in harmonics polluted distribution system

Kumawat, Manoj; Gupta, Nitin; Jain, Naveen; Bansal, R.C.

doi:10.1016/j.swevo.2017.09.005

Cited by 36 publications

(21 citation statements)

References 33 publications

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“…Line current constraints: The current flow in each line ( ) is limited due to its maximum current carrying capacity ( ), and mathematically, it is expressed by [36,37] (Equation 14).…”

Section: 42inequality Constraintsmentioning

confidence: 99%

Minimization of losses in a distribution system with network reconfiguration, distributed generation and D-STATCOM

Salkuti¹

2021

IJATEE

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“…Line current constraints: The current flow in each line ( ) is limited due to its maximum current carrying capacity ( ), and mathematically, it is expressed by [36,37] (Equation 14).…”

Section: 42inequality Constraintsmentioning

confidence: 99%

Minimization of losses in a distribution system with network reconfiguration, distributed generation and D-STATCOM

Salkuti¹

2021

IJATEE

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“…The modification made to the classical 69 bus test system to obtain a DC version consists of eliminating the reactive component in both the branches and the power consumption for all the nodes. On the other hand, the system preserves the number of nodes and branches, the resistance values of branches and the power load and voltage level reported in [57]. Figure 6 presents the line diagram of the grid.…”

Section: The 21 Bus Test Systemmentioning

confidence: 99%

Optimal Location and Sizing of Distributed Generators in DC Networks Using a Hybrid Method Based on Parallel PBIL and PSO

et al. 2020

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This paper addresses the problem of the locating and sizing of distributed generators (DGs) in direct current (DC) grids and proposes a hybrid methodology based on a parallel version of the Population-Based Incremental Learning (PPBIL) algorithm and the Particle Swarm Optimization (PSO) method. The objective function of the method is based on the reduction of the power loss by using a master-slave structure and the consideration of the set of restrictions associated with DC grids in a distributed generation environment. In such a structure, the master stage (PPBIL) finds the location of the generators and the slave stage (PSO) finds the corresponding sizes. For the purpose of comparison, eight additional hybrid methods were formed by using two additional location methods and two additional sizing methods, and this helped in the evaluation of the effectiveness of the proposed solution. Such an evaluation is illustrated with the electrical test systems composed of 10, 21 and 69 buses and simulated on the software, MATLAB. Finally, the results of the simulation demonstrated that the PPBIL–PSO method obtains the best balance between the reduction of power loss and the processing time.

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“…DESs need higher technical requirements, because the technology of DESs is not yet popular, and the technology is not mature enough [62,63]. The decentralized application of DESs requires a large number of relevant professionals to achieve high popularization.…”

Section: Noxious Gas Emissionmentioning

confidence: 99%

Towards a sustainable distributed energy system in China: decision-making for strategies and policy implications

et al. 2019

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Background: The conflict between the Chinese fossil fuel-based economy and worsening environmental conditions requires further research to be carried out. Due to their clean, highly-efficient and flexible properties, distributed energy systems (DESs) have become a global research focus in the field of energy conservation. China, as the largest coal-fired energy user and highest power consumer in the world, has to conduct further research and apply the DESs to resolve the conflict. This study aims to provide a comprehensive review of DES development in China as well as improvement suggestions for the development of DESs by use of scientific analysis. Methods: The analysis of strengths-weaknesses-opportunities threats (SWOT) was adapted for the analysis of improvement strategies. The directions for how to improve the application of these strategies were selected by the prioritization method of analytic hierarchy processes (AHP) and evaluated by the best-worst method (BWM). The suggestions were provided according to the ranks figured out by AHP and BWM. Five enablers were selected from the respective economic, environmental, technological and social aspects for participating in this analysis. Results: Resulting from the SWOT analysis, capital investment, technology development and regulation completeness are three aspects of strategies summarized as SO strategies, ST strategies, WO strategies and WT strategies. The research perspectives of DESs that are suggested for investment, technology development and regulation completeness are illustrated by AHP and BWM. The results show that the reduction of solid particle emissions, the improvement of generation reliability, the improvement of the production rate, the reduction of production costs, the improvement of on-site safety, the fulfilment of electricity demand, the reduction of noxious gas emissions as well as the improvement of energy efficiency need to be carried out for the sake of environmental protection and quality of DES generation in China.Conclusions: There are high potentials for China to further develop and apply DES approaches. The direction of current development might be set to solve three problematic aspects, which are capital investment, technology development and regulation completeness.

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Optimal planning of distributed energy resources in harmonics polluted distribution system

Cited by 36 publications

References 33 publications

Minimization of losses in a distribution system with network reconfiguration, distributed generation and D-STATCOM

Minimization of losses in a distribution system with network reconfiguration, distributed generation and D-STATCOM

Optimal Location and Sizing of Distributed Generators in DC Networks Using a Hybrid Method Based on Parallel PBIL and PSO

Towards a sustainable distributed energy system in China: decision-making for strategies and policy implications

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