The Experts below are selected from a list of 1290 Experts worldwide ranked by ideXlab platform
Panos Y Papalambros - One of the best experts on this subject based on the ideXlab platform.
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optimal Component sizing and forward looking dispatch of an electrical Microgrid for energy storage planning
Design Automation Conference, 2011Co-Authors: John W Whitefoot, Abigail R Mechtenberg, Diane L Peters, Panos Y PapalambrosAbstract:Optimal design of an electrical Microgrid and sizing of its Components seeks to balance capital investment with expected operational cost while meeting performance requirements. Calculating operational cost requires scheduling each Microgrid Component over some time period (dispatching) for each design evaluated. Heuristic or rule-based dispatch strategies typically consider only single time instances and are computationally efficient but do not include scheduling energy storage for future time periods. In this paper, we propose to optimize Microgrid designs using forward-looking optimal dispatch for future energy storage planning. We present a case study of an ‘islanded’ military base Microgrid with renewable and non-renewable electricity generation, battery storage, and plug-in vehicles with electrical export power capability. The optimal design and forward-looking dispatch strategy are compared to results obtained using the publicly available rulebased dispatch strategy in HOMER Energy software. Results show that the forward-looking strategy uses storage batteries to plan for future energy shortfalls rather than simply as a buffer for variable renewable energy supply, resulting in a 7.8% reduction in predicted fuel use. For the given cost assumptions, sensitivity analysis of the optimal design with respect to fuel price shows that investment in renewable energy technology is justified at prices greater than $5 per gallon ($1.32/liter) with an attendant reduction in fuel use of 3–30%.
John W Whitefoot - One of the best experts on this subject based on the ideXlab platform.
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optimal Component sizing and forward looking dispatch of an electrical Microgrid for energy storage planning
Design Automation Conference, 2011Co-Authors: John W Whitefoot, Abigail R Mechtenberg, Diane L Peters, Panos Y PapalambrosAbstract:Optimal design of an electrical Microgrid and sizing of its Components seeks to balance capital investment with expected operational cost while meeting performance requirements. Calculating operational cost requires scheduling each Microgrid Component over some time period (dispatching) for each design evaluated. Heuristic or rule-based dispatch strategies typically consider only single time instances and are computationally efficient but do not include scheduling energy storage for future time periods. In this paper, we propose to optimize Microgrid designs using forward-looking optimal dispatch for future energy storage planning. We present a case study of an ‘islanded’ military base Microgrid with renewable and non-renewable electricity generation, battery storage, and plug-in vehicles with electrical export power capability. The optimal design and forward-looking dispatch strategy are compared to results obtained using the publicly available rulebased dispatch strategy in HOMER Energy software. Results show that the forward-looking strategy uses storage batteries to plan for future energy shortfalls rather than simply as a buffer for variable renewable energy supply, resulting in a 7.8% reduction in predicted fuel use. For the given cost assumptions, sensitivity analysis of the optimal design with respect to fuel price shows that investment in renewable energy technology is justified at prices greater than $5 per gallon ($1.32/liter) with an attendant reduction in fuel use of 3–30%.
Zia, Muhammad Fahad - One of the best experts on this subject based on the ideXlab platform.
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Contribution à l'optimisation de la gestion d'énergie dans les micro-réseaux à base de ressources renouvelables
2020Co-Authors: Zia, Muhammad FahadAbstract:Le réseau électrique actuel est confronté à plusieurs défis liés aux exigences environnementales, à l'augmentation de la demande mondiale d'électricité, aux contraintes de fiabilité élevées, à la nécessité d’une énergie décarbonisée et aux restrictions de planification. Afin d’évoluer vers un système d'énergie électrique respectueux de l’environnement et intelligent, les installations de production centralisées sont de nos jours transformées en de plus petites centrales de génération distribuées. Le concept de micro-réseau émerge ainsi. Le micro-réseau peut être considéré comme un système de distribution basse tension avec un ensemble de charges contrôlables et de ressources énergétiques distribuées, qui peuvent inclure de nombreuses sources d'énergie renouvelables et des systèmes de stockage d'énergie. La gestion d’énergie d'un grand nombre de ressources énergétiques distribuées est nécessaire au bon fonctionnement d'un micro-réseau afin d’en assurer la stabilité, la fiabilité et la disponibilité. Par conséquent,un système de gestion d'énergie est au coeur de l'exploitation des micro-réseaux afin d’en assurer un développement économique et durable. À cet égard, cette thèse se focalise sur la proposition de modèles d'optimisation de système de gestion de l'énergie pour une exploitation optimale des micro-réseaux. Une gestion d’énergie optimale requiert la prise en compte de plusieurs contraintes techniques, économiques et environnementales. De plus, ces travaux de recherche prennent en considération un modèle pratique du coût de dégradation des batteries Li-ion. Le problème de gestion d’énergie optimale se traduit ainsi par un problème d’optimisation sous contraintes. La fonction objective regroupe le coût d'exploitation des générateurs distribués, le coût des émissions de gaz à effet de serre des sources de production conventionnelles, l’obligation d’une utilisation maximale des sources d'énergie renouvelables, le coût de dégradation des batteries, les différentes incitations afin de modifier le profil de la demande et des pénalités en cas de délestage. Les contraintes quant à elles sont liées aux contraintes techniques des différents sous-systèmes du micro-réseau. Par ailleurs, un modèle conceptuel complet à sept couches est également développé afin de fournir des informations normalisées sur la mise en oeuvre d’une nouvelle économie de l’énergie.The current electric power system isfacing the challenges of environmental protection,increasing global electricity demand, high reliability requirement, cleanliness of energy, and planning restrictions. To evolve towards green and smart electric power system, centralized generating facilities are now being transformed into smaller and more distributed generations. As a consequence, the concept of Microgrid emerges, where a Microgrid can operate as a single controllable system and can be assumed as a cluster of loads and distributed energy resources, which may include many renewable energy sources and energy storage systems. The energy management of large numbers of distributed energy resources is needed for reliable operation of Microgrid system. Therefore, energy management is the fundamental part of the Microgrid operation for economical and sustainable development. In this regard, this thesis focuses on proposing energy management optimization models for optimal operation of Microgrid system that include proposed practical Li-ion battery degradation cost model. These different energy management models include objective functions of operating cost of distributed generators, emission cost of conventional generation source, maximum utilization of renewable energy sources, battery degradation cost, demand response incentives, and load shedding penalization cost, with Microgrid Component and physical network constraints. A comprehensive conceptual seven layer model is also developed to provide standardized insights in implementing real transactive energy systems
Abigail R Mechtenberg - One of the best experts on this subject based on the ideXlab platform.
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optimal Component sizing and forward looking dispatch of an electrical Microgrid for energy storage planning
Design Automation Conference, 2011Co-Authors: John W Whitefoot, Abigail R Mechtenberg, Diane L Peters, Panos Y PapalambrosAbstract:Optimal design of an electrical Microgrid and sizing of its Components seeks to balance capital investment with expected operational cost while meeting performance requirements. Calculating operational cost requires scheduling each Microgrid Component over some time period (dispatching) for each design evaluated. Heuristic or rule-based dispatch strategies typically consider only single time instances and are computationally efficient but do not include scheduling energy storage for future time periods. In this paper, we propose to optimize Microgrid designs using forward-looking optimal dispatch for future energy storage planning. We present a case study of an ‘islanded’ military base Microgrid with renewable and non-renewable electricity generation, battery storage, and plug-in vehicles with electrical export power capability. The optimal design and forward-looking dispatch strategy are compared to results obtained using the publicly available rulebased dispatch strategy in HOMER Energy software. Results show that the forward-looking strategy uses storage batteries to plan for future energy shortfalls rather than simply as a buffer for variable renewable energy supply, resulting in a 7.8% reduction in predicted fuel use. For the given cost assumptions, sensitivity analysis of the optimal design with respect to fuel price shows that investment in renewable energy technology is justified at prices greater than $5 per gallon ($1.32/liter) with an attendant reduction in fuel use of 3–30%.
Diane L Peters - One of the best experts on this subject based on the ideXlab platform.
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optimal Component sizing and forward looking dispatch of an electrical Microgrid for energy storage planning
Design Automation Conference, 2011Co-Authors: John W Whitefoot, Abigail R Mechtenberg, Diane L Peters, Panos Y PapalambrosAbstract:Optimal design of an electrical Microgrid and sizing of its Components seeks to balance capital investment with expected operational cost while meeting performance requirements. Calculating operational cost requires scheduling each Microgrid Component over some time period (dispatching) for each design evaluated. Heuristic or rule-based dispatch strategies typically consider only single time instances and are computationally efficient but do not include scheduling energy storage for future time periods. In this paper, we propose to optimize Microgrid designs using forward-looking optimal dispatch for future energy storage planning. We present a case study of an ‘islanded’ military base Microgrid with renewable and non-renewable electricity generation, battery storage, and plug-in vehicles with electrical export power capability. The optimal design and forward-looking dispatch strategy are compared to results obtained using the publicly available rulebased dispatch strategy in HOMER Energy software. Results show that the forward-looking strategy uses storage batteries to plan for future energy shortfalls rather than simply as a buffer for variable renewable energy supply, resulting in a 7.8% reduction in predicted fuel use. For the given cost assumptions, sensitivity analysis of the optimal design with respect to fuel price shows that investment in renewable energy technology is justified at prices greater than $5 per gallon ($1.32/liter) with an attendant reduction in fuel use of 3–30%.