Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach

Sharafi, Masoud; ElMekkawy, Tarek Y.

doi:10.1016/j.renene.2014.01.011

Cited by 341 publications

(170 citation statements)

References 22 publications

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“…Aiming to minimize the total cost of the system by determining the size of hybrid renewable energy system, Sharafi and ELMekkawy proposed an optimizationsimulation based approach [49]. The system is searching to find the solution that minimize the cost and CO 2 emission while maximizing reliability of the system.…”

Section: Cost and Co 2 Minimizing Rural Electrification Planning Probmentioning

confidence: 99%

A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems

Bolukbasi

Kocaman

2018

Energy

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The lack of access to electricity in developing countries necessitates spatial electricity planning for guiding sustainable electrification projects that evaluate the costs of centralized systems vis-a-vis decentralized approaches. Heuristic approaches have been widely used in such electrification problems to find feasible, cost effective solutions; however, most of the time global optimality of these solutions is not guaranteed. Our thesis through its modeling approach provides a new methodology to find the least cost solution to this electrification problem. We model the spatial network planning problem as Prize Collecting Steiner Tree problem which would be base for a decision support tool for rural electrification. This new method is systematically assessed using both randomly generated data and real data from rural regions across SubSaharan Africa. Comparative results for the proposed approach and a widely used heuristic method are presented based on computational experiments. Additionally, a bi-objective approach that permits to take carbon emission level into the account is implemented and experimented with numerical data.

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Section: Cost and Co 2 Minimizing Rural Electrification Planning Probmentioning

confidence: 99%

A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems

Bolukbasi

Kocaman

2018

Energy

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“…LU composition suggested from LU optimisation was The first stage was PSO, which is a fast optimisation method that mimics a flock of birds or a school of fish (called particles) searching for food [37]. Earlier studies showed that PSO is faster than GA but less accurate [9,21,23]. A small initial weight might be used to increase accuracy, but it lowers the searching distance of particles and weakened their ability to jump over a wide constraint.…”

Section: Criteria Functionsmentioning

confidence: 99%

Achieving a Sustainable Urban Form through Land Use Optimisation: Insights from Bekasi City’s Land-Use Plan (2010–2030)

et al. 2017

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Cities worldwide have been trying to achieve a sustainable urban form to handle their rapid urban growth. Many sustainable urban forms have been studied and two of them, the compact city and the eco city, were chosen in this study as urban form foundations. Based on these forms, four sustainable city criteria (compactness, compatibility, dependency, and suitability) were considered as necessary functions for land use optimisation. This study presents a land use optimisation as a method for achieving a sustainable urban form. Three optimisation methods (particle swarm optimisation, genetic algorithms, and a local search method) were combined into a single hybrid optimisation method for land use in Bekasi city, Indonesia. It was also used for examining Bekasi city's land-use-plan (2010-2030) after optimising current (2015) and future land use (2030). After current land use optimisation, the score of sustainable city criteria increased significantly. Three important centres of land use (commercial, industrial, and residential) were also created through clustering the results. These centres were slightly different from centres of the city plan zones. Additional land uses in 2030 were predicted using a nonlinear autoregressive neural network with external input. Three scenarios were used for allocating these additional land uses including sustainable development, government policy, and business-as-usual. Future land use allocation in 2030 found that the sustainable development scenario showed better performance compared to government policy and business-as-usual scenarios.

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“…Electricity production by PVGS in SPP depends on its position in the ocean. Previous studies [38][39][40][41][42] of PVGS use take into account the calendar conditions, local time, time zone, operating coordinates in terms of power providing for moving ship. In [40] proposed the optimal choice of hybrid DEPС sizes taking into account different slope angles of PVGS panels.…”

Section: Issn 2226-3780mentioning

confidence: 99%

“…Previous studies [38][39][40][41][42] of PVGS use take into account the calendar conditions, local time, time zone, operating coordinates in terms of power providing for moving ship. In [40] proposed the optimal choice of hybrid DEPС sizes taking into account different slope angles of PVGS panels. Corrections to the output settings of PVGS panels depending on their location on the ship were obtained because of the strong dependence of parameters and quality of PVGS from climatic conditions such as time of year, local time, operating coordinates.…”

Section: Issn 2226-3780mentioning

confidence: 99%

Conceptualization of research of power hybrid electric power complexes

Budashko

Glazeva

Samonov

2016

TAPR

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Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach

Cited by 341 publications

References 22 publications

A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems

A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems

Achieving a Sustainable Urban Form through Land Use Optimisation: Insights from Bekasi City’s Land-Use Plan (2010–2030)

Conceptualization of research of power hybrid electric power complexes

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