Solar plant modeling impacts on distribution systems PV case study

Author(s):  
G. J. Shirek ◽  
B. A. Lassiter
Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6087
Author(s):  
Xavier Dominguez ◽  
Paola Mantilla-Pérez ◽  
Nuria Gimenez ◽  
Islam El-Sayed ◽  
Manuel Alberto Díaz Díaz Millán ◽  
...  

For the validation of vehicular Electrical Distribution Systems (EDS), engineers are currently required to analyze disperse information regarding technical requirements, standards and datasheets. Moreover, an enormous effort takes place to elaborate testing plans that are representative for most EDS possible configurations. These experiments are followed by laborious data analysis. To diminish this workload and the need for physical resources, this work reports a simulation platform that centralizes the tasks for testing different EDS configurations and assists the early detection of inadequacies in the design process. A specific procedure is provided to develop a software tool intended for this aim. Moreover, the described functionalities are exemplified considering as a case study the main wire harness from a commercial vehicle. A web-based architecture has been employed in alignment with the ongoing software development revolution and thus provides flexibility for both, developers and users. Due to its scalability, the proposed software scheme can be extended to other web-based simulation applications. Furthermore, the automatic generation of electrical layouts for EDS is addressed to favor an intuitive understanding of the network. To favor human–information interaction, utilized visual analytics strategies are also discussed. Finally, full simulation workflows are exposed to provide further insights on the deployment of this type of computer platforms.


2019 ◽  
Vol 9 (2) ◽  
pp. 1-16
Author(s):  
Vannak Vai ◽  
Marie-Cécile Alvarez-Hérault ◽  
Long Bun ◽  
Bertrand Raison

This paper studies an optimal design of grid topology and integrated photovoltaic (PV) and centralized battery energy storage considering techno-economic aspect in low voltage distribution systems for urban area in Cambodia. This work aims at searching for an optimal topology including size of the battery energy storage by two different methods over the planning study of 15 years. Firstly, the shortest path algorithm (SPA) and first-fit bin-packing algorithm (FFBPA) are used to find out the topology which minimize the line and the load balancing. Secondly, mixed integer quadratically constrained programming (MIQCP) algorithms are developed to search for a topology which minimize conductor use and the load balancing improvement. Next, Genetic algorithm is developed to size the maximum PV peak power connected into LV network with respected to voltage and current constraints. Then, the size of battery energy storage procedure is established in order to eliminate the reverse power flow going on medium voltage (MV) grid and to improve the autonomous operation time of system. A discounted cost method is used to evaluate the solutions for different methods. Lastly, an urban area in Cambodia is chosen as a case study in this paper. Simulation results confirm the proposed method in this research.


2010 ◽  
Vol 10 (4) ◽  
pp. 600-609 ◽  
Author(s):  
R. Sitzenfrei ◽  
S. Fach ◽  
M. Kleidorfer ◽  
C. Urich ◽  
W. Rauch

In environmental engineering, identification of problems and their solutions as well as the identification of the relevant processes involved is often done by means of case study analyses. By researching the operation of urban drainage and water distribution systems, this methodology is suited to evaluate new technologies, strategies or measures with regard to their impact on the overall processes. However, data availability is often limited and data collection and the development of new models are both costly and time consuming. Hence, new technologies, strategies or measures can only be tested on a limited number of case studies. In several environmental disciplines a few virtual case studies have been manually developed to provide data for research tasks and these are repeatedly used in different research projects. Efforts have also been invested in tackling limited data availability with the algorithmic generation of virtual case studies having constant or varying boundary conditions. The data provided by such tools is nevertheless only available for a certain instance in time. With DynaVIBe (Dynamic Virtual Infrastructure Benchmarking), numerous virtual case studies are algorithmically generated with a temporal development of the urban structure (population and land use model) and infrastructure. This provides a methodology that allows for the analysis of future scenarios on a spatio-temporal city scale. By linking a population model with DynaVIBe's infrastructure models, socio-economics impacts on infrastructure and system coherences can be investigated. The problematic of limited case study data is solved by the algorithmic generation of an unlimited number of virtual case studies, which are dynamic over time. Additionally, this methodology can also be applied on real world data for probabilistic future scenario analysis.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chung Heon Oh

Purpose Channel conflicts between initial providers (IPs) and independent middlemen (IMM) can hinder the market penetration of IPs, especially for small- and medium-sized enterprises with low brand awareness. Design/methodology/approach A case study is used to describe the introduction of an agent-friendly graphic user interface (AFGUI) as a compromise for the basic needs of the IP and IMM, both for the successful market entry of IPs and to encourage the IMM to accept original brand manufacturing (OBM), which can maximize the benefits of IPs after a successful product/service launch. Findings This case study shows that the AFGUI significantly contributes to increasing the IMM’s OBM selection. Comparing the “before AFGUI introduction” group to the group of IMMs who have been SeaHerb’s – a manufacturer of brown seaweed extract – IMM for fewer than three years shows that the latter group’s OBM selection can positively affect the order amount. Originality/value The AFGUI can integrate traditional offline distribution channel systems into online distribution systems. Regarding the AFGUI’s functional effectiveness for preventing fake sellers and fake products, further research on its adoption by online platform providers (e.g. Amazon and eBay) is recommended.


Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 204 ◽  
Author(s):  
Abdelouahid Fouial ◽  
Nicola Lamaddalena ◽  
Juan Antonio Rodríguez Díaz

Water scarcity is a mounting problem in arid and semi-arid regions such as the Mediterranean. Therefore, smarter and more effective water management is required, especially in irrigated agriculture. One of the most challenging uncertainties in the operation of on-demand collective Pressurized Irrigation Distribution Systems (PIDSs) is to know, a priori, the number and the position of hydrants in simultaneous operation. To this end, a model was developed to generate close to reality operating hydrants configurations, with 15, 30 or 60 min time steps, by estimating the irrigation scheduling for the entire irrigation season, using climatic, crop and soil data. The model is incorporated in an integrated DSS called Decision Support for Irrigation Distribution Systems (DESIDS) and links two of its modules, namely, the irrigation demand and scheduling module and the hydraulic analysis module. The latter is used to perform two types of analyses for the performance assessment and decision-making processes. The model was used in a real case study in Italy to generate hydrants’ operation taking into consideration irrigation scheduling. The results show that during the peak period, hydrants simultaneity topped 62%. The latter created pressure deficit in some hydrants, thus reducing the volume of water supplied for irrigation by up to 87 m3 in a single hydrant during the peak demand day. The developed model proved to be an important tool for irrigation managers, as it provides vital information with great flexibility and the ability to assess and predict the operation of PIDSs at any period during the irrigation season.


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