Browsing by Author "Hajimiragha, Amir H."
Now showing 1 - 4 of 4
- Results Per Page
- Sort Options
Item A Robust Optimization Approach for Planning the Transition to Plug-in Hybrid Electric Vehicles(Institute of Electrical and Electronics Engineers (IEEE), 2011-02-28) Hajimiragha, Amir H.; Canizares, Claudio A.; Fowler, Michael W.; Moazeni, Somayeh; Elkamel, AliThis paper proposes a new technique to analyze the electricity and transport sectors within a single integrated framework to realize an environmentally and economically sustainable integration of plug-in hybrid electric vehicles (PHEVs) into the electric grid, considering the most relevant planning uncertainties. The method is based on a comprehensive robust optimization planning that considers the constraints of both the electricity grid and the transport sector. The proposed model is justified and described in some detail, applying it to the real case of Ontario, Canada, to determine Ontario's grid potential to support PHEVs for the planning horizon 2008-2025.Item Microgrid Stability Definitions, Analysis, and Examples(Institute of Electrical and Electronics Engineers (IEEE), 2019-06-28) Farrokhabadi, Mostafa; Canizares, Claudio A.; Simpson-Porco, John W.; Nasr, Ehsan; Fan, Lingling; Mendoza-Araya, Patricio A.; Tonkoski, Reinaldo; Tamrakar, Ujjwol; Hatziargyriou, Nikos; Lagos, Dimitris; Wies, Richard W.; Paolone, Mario; Liserre, Marco; Meegahapola, Lasantha; Kabalan, Mahmoud; Hajimiragha, Amir H.; Peralta, Dario; Elizondo, Marcelo A.; Schneider, Kevin P.; Tuffner, Francis K.; Reilly, JimThis document is a summary of a report prepared by the IEEE PES Task Force (TF) on Microgrid Stability Definitions, Analysis, and Modeling, IEEE Power and Energy Society, Piscataway, NJ, USA, Tech. Rep. PES-TR66, Apr. 2018, which defines concepts and identifies relevant issues related to stability in microgrids. In this paper, definitions and classification of microgrid stability are presented and discussed, considering pertinent microgrid features such as voltage-frequency dependence, unbalancing, low inertia, and generation intermittency. A few examples are also presented, highlighting some of the stability classes defined in this paper. Further examples, along with discussions on microgrid components modeling and stability analysis tools can be found in the TF report.Item Sustainable convergence of electricity and transport sectors in the context of a hydrogen economy(Elsevier, 2011-04-03) Hajimiragha, Amir H.; Cañizares, Claudio A.; Fowler, Michael W.; Moazeni, Somayeh; Elkamel, Ali; Wong, StevenThis paper analyzes the electricity and transport sectors within a single integrated framework and presents the capabilities of this integrated approach to realize an environmentally and economically sustainable transport sector based on fuel cell vehicles (FCVs). A comprehensive robust optimization planning model for the transition to FCVs is developed, considering the constraints of both electricity and transport sectors. This model is finally applied to the real case of Ontario, Canada to determine the Ontario’s grid potential to support these vehicles in the transport sector for a planning horizon ending in 2025. With a reasonable trade-off between optimality and conservatism, it is found that more than 170,000 FCVs can be introduced into Ontario’s transport sector by 2025 without jeopardizing the reliability of the system or any additional grid investments such as new power generation and transmission installations.Item Trends in Microgrid Control(Institute of Electrical and Electronics Engineers (IEEE), 2014-05-20) Olivares, Daniel E.; Mehrizi-Sani, Ali; Etemadi, Amir H.; Canizares, Claudio A.; Iravani, Reza; Kazerani, Mehrdad; Hajimiragha, Amir H.; Gomis-Bellmunt, Oriol; Saeedifard, Maryam; Palma-Behnke, Rodrigo; Jimenez-Estevez, Guillermo A.; Hatziargyriou, Nikos D.The increasing interest in integrating intermittent renewable energy sources into microgrids presents major challenges from the viewpoints of reliable operation and control. In this paper, the major issues and challenges in microgrid control are discussed, and a review of state-of-the-art control strategies and trends is presented; a general overview of the main control principles (e.g., droop control, model predictive control, multi-agent systems) is also included. The paper classifies microgrid control strategies into three levels: primary, secondary, and tertiary, where primary and secondary levels are associated with the operation of the microgrid itself, and tertiary level pertains to the coordinated operation of the microgrid and the host grid. Each control level is discussed in detail in view of the relevant existing technical literature.