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The dissertation addresses two energy-transition pressures: reducing greenhouse-gas emissions and moving away from fossil fuels supporting transportation and heating. It argues that existing industry simulation practices are insufficient for variable renewable uncertainty and fast-changing resources, then proposes improved scientific-computing approaches and systematic simulation practices for future grids.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/modeling-and-simulation-of-electric-power-systems-with-large-shares-of-renewable-energy-doctoral-dissertation/272450/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/modeling-and-simulation-of-electric-power-systems-with-large-shares-of-renewable-energy-doctoral-dissertation/272450.png","ImageObject",300,407,{"name":92,"@type":93},"\tCallum ","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-15",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",14,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"Why are existing electric power system simulation practices considered insufficient for energy transition challenges?","Question",{"text":113,"@type":114},"They were developed for operational situations that differ substantially from current transition requirements, including variable renewable uncertainty, fast-varying resources, and changes to underlying transformation physics.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What computational tools does the dissertation design and implement to support simulations?",{"text":118,"@type":114},"It designs and implements three software tools: PowerSystems.jl for data ingestion and processing across time scales, PowerSimulations.jl for scalable operations simulation and probabilistic risk assessment support, and PowerSimulationDynamics.jl for modeling system dynamics with inverter base resources.",{"name":120,"@type":111,"acceptedAnswer":121},"How does the dissertation incorporate uncertainty into operator risk assessments?",{"text":122,"@type":114},"It uses a Markovian Graph approach to integrate probabilistic forecasts into operators’ risk assessments when deploying reserves.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},272450,1789465199,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145,"preview_page_count":4},137451211410,"https://ap-avatar.wpscdn.com/avatar/2000bb0a9246f588df?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786362646172706240","UC Berkeley  \nUC Berkeley Electronic Theses and Dissertations  \nTitle  \nModeling and Simulation of Electric Power Systems with Large Shares of Renewable Energy  \nPermalink  \n[https://escholarship.org/uc/item/8rr8d77r](https://escholarship.org/uc/item/8rr8d77r)  \nAuthor  \nLara, Jose Daniel  \nPublication Date  \n2022  \nPeer reviewed|Thesis/dissertation  \n[eScholarship.org](eScholarship.org) Powered by the California Digital Library  \nUniversity of California  \nModeling and Simulation of Electric Power Systems with Large Shares of Renewable  \nEnergy  \nby  \nJosé Daniel Lara  \nA dissertation submitted in partial satisfaction of the requirements for the degree of  \nDoctor of Philosophy  \nin  \nEnergy and Resources  \nand the Designated Emphasis  \nin  \nComputational and Data Science and Engineering  \nin the  \nGraduate Division  \nof the  \nUniversity of California, Berkeley  \nCommittee in charge:  \nProfessor Duncan S. Callaway, Chair  \nProfessor Bri-Mathias Hodge  \nProfessor Phillip Stark  \nProfessor Seth Sanders  \nSpring 2022  \nModeling and Simulation of Electric Power Systems with Large Shares of Renewable  \nEnergy  \nCopyright 2022  \nby  \nJosé Daniel Lara  \n1  \nAbstract  \nModeling and Simulation of Electric Power Systems with Large Shares of Renewable  \nEnergy  \nby  \nJosé Daniel Lara  \nDoctor of Philosophy in Energy and Resources  \nand the Designated Emphasis in  \nComputational and Data Science and Engineering  \nUniversity of California, Berkeley  \nProfessor Duncan S. Callaway, Chair  \nTo date, electric power systems are the most important technological achievement in the energy sector. Interconnected power systems require a careful operation to maintain supply stability and maintain efficient energy usage. Amid this complexity, two critical global transitions are needed: (1) moving away from greenhouse gases which negatively contribute to climate change; and (2) moving away from fossil fuels, which currently support transportation and heating systems.  \nComputer simulations are the only tools available to do the necessary research and development required to accomplish these goals. However, the practices and tools used by the electric power industry were developed for operational situations that are vastly different from current challenges for energy transition. Variable Renewable Energy uncertainty, fast varying resources, and fundamental changes to the energy transformation physics require an update to the operational and simulation practices.  \nThis work started focusing on the simulation of future systems, and by the time it was written, it had become a dissertation on the practices needed for today’s system. We discuss the requirements needed to improve scientific computing practices and conduct simulations more systematically when developing new operation models. The work has designed and implemented three software tools to develop simulations: the first includes PowerSystems. jl –– a software package that handles the data ingestion and processing required for simulations across multiple time scales. The second tool includes PowerSimulations. jl which resolves issues of model-limited choice when implementing operations simulations of large interconnected systems. The third tool includes PowerSimulations. jl, which is based on a formalization of the simulation of power system operations and provides a scalable computational platform. Third, PowerSimulationDynamics. jl which concentrates on the modeling of power systems dynamics with a strong focus on integrating Inverter Base Resources. PowerSystems. jl and PowerSimulations. jl both enable the development of a novel Automatic  \n2  \nGeneration Control model that can assess reserve deployments. Both tools are used to develop a Markovian Graph approach when integrating probabilistic forecasts into operators’risk assessments.  \nFinally, this dissertation investigates the simulation techniques that are needed for system dynamics, and challenges the applicability long-held simulation practic","cbCaij3b4q9codju","https://ap.wps.com/l/cbCaij3b4q9codju","pdf",18540756,182,"English","# 1 Introduction\n# 2 Design of simulation experiments in power systems\n## 2.1 Scientific computing practices\n## 2.2 Designing the experiment\n## 2.3 Implementing a reproducible computational experiment in power systems\n## 2.4 PowerSystems.jl data model for power systems scientific computing\n## 2.5 Conclusions\n# 3 Simulation of Power Systems Operations\n## 3.1 Defining an operations simulation\n## 3.2 Software Structure and Description\n## 3.3 Validation and Case Studies\n## 3.4 Implementing PowerSimulations.jl Automatic Generation Control (AGC) simulations\n## 3.5 Simulation of the proposed Automatic Generation Control (AGC) model\n## 3.6 Conclusions\n# 4 A Multi-Stage Stochastic Risk Assessment with Renewable Power Markovian Representation\n## 4.1 Risk model and probabilistic forecasting\n## 4.2 Multi-stage risk-averse model\n## 4.3 Results\n## 4.4 Online transition matrix estimation\n## 4.5 Conclusions","[{\"question\":\"Why are existing electric power system simulation practices considered insufficient for energy transition challenges?\",\"answer\":\"They were developed for operational situations that differ substantially from current transition requirements, including variable renewable uncertainty, fast-varying resources, and changes to underlying transformation physics.\"},{\"question\":\"What computational tools does the dissertation design and implement to support simulations?\",\"answer\":\"It designs and implements three software tools: PowerSystems.jl for data ingestion and processing across time scales, PowerSimulations.jl for scalable operations simulation and probabilistic risk assessment support, and PowerSimulationDynamics.jl for modeling system dynamics with inverter base resources.\"},{\"question\":\"How does the dissertation incorporate uncertainty into operator risk assessments?\",\"answer\":\"It uses a Markovian Graph approach to integrate probabilistic forecasts into operators’ risk assessments when deploying reserves.\"}]","Modeling and Simulation of Electric Power Systems with Large Shares of Renewable Energy - Doctoral Dissertation | PDF",459]