_{Abstract: This preprint introduces a statistical methodology to assess situational awareness of distribution transformers under high DER integration. The approach computes performance indices based on power delivery efficiency, historical anomalies, and thermal stress to identify transformers operating under adverse conditions. Applied to a Brazilian utility dataset, the methodology outperforms traditional clustering algorithms in selecting critical DT units. This scalable tool enables utilities to allocate maintenance resources proactively, enhancing grid decarbonization and resilience.
Keywords: transformer monitoring, situational awareness, statistical analysis, cluster analysis, grid resilience}

_{Abstract: This paper investigates the integration of multiple Battery Energy Storage Systems (BESS) in a real low-voltage residential network with high photovoltaic penetration. It analyzes the impacts of uncoordinated decentralized control modes of multiple small- and medium-scale BESS units in a gated community network, showing that uncoordinated operation can degrade grid performance by exacerbating voltage violations and transformer loading. Based on these findings, the paper proposes novel coordinated control strategies to determine BESS setpoints that mitigate these adverse effects under high prosumer penetration.
Keywords: battery energy storage, prosumers, lv distribution network, photovoltaics integration, decentralized control}

_{Abstract: This paper proposes a network equivalencing method for detailed three-phase four-wire unbalanced feeders with neutrals and groundings. The multi-area aggregation approach creates reduced subnetwork models, enabling significant computational time savings. The method was tested using Newton–Raphson and Backward-Forward Sweep algorithms, with results on test feeders (Simple NEV, IEEE 123, IEEE 8500) showing that the aggregation accurately reproduces full-system behavior across all loading levels, enabling faster studies without sacrificing accuracy.
Keywords: network reduction, unbalanced distribution, multi-area aggregation, distribution equivalents, simulation efficiency}

_{Abstract: This letter studies how distribution load composition affects the existence of multiple power flow solutions in unbalanced systems. A parametric model of a feeder with exponential load models is developed to verify the existence and behavior of multiple solutions. The analysis demonstrates that different combinations of load models (constant power, current, and impedance) can lead to multiple operational solutions. This insight is critical for understanding voltage stability and the potential for multiple voltage profiles in unbalanced feeders.
Keywords: load modeling, unbalanced systems, multiple power flow solutions, distribution feeder, voltage stability}

_{Abstract: This work presents an initialization procedure capable of identifying multiple operationally stable power-flow solutions in unbalanced impedance-grounded distribution systems. Furthermore, the work advances the understanding of multiple power-flow solutions by demonstrating the importance of their characterization, as these solutions may significantly affect operational planning and decision-making in electric utilities. Thus, the methodology enables improved analysis of voltage stability margins and operating conditions, providing proper insights into the behavior of modern distribution networks.
Keywords: voltage stability, power flow, distribution systems, unbalanced networks, network analysis}

_{Abstract: This paper presents a novel control algorithm for a Distribution Static Synchronous Compensator (DSTATCOM) that compensates consumer-generated voltage unbalance. The algorithm quantifies unbalanced voltage components (negative and zero sequences) caused by the consumer and designs DSTATCOM controllers in the synchronous reference frame. Digital simulations on an unbalanced distribution network show that the proposed method can significantly reduce compensator capacity requirements by focusing only on the consumer-generated unbalance.
Keywords: dstatcom, voltage unbalance compensation, control algorithm, power quality, synchronous frame}

_{Abstract: This paper presents a novel analysis of a multi-grounded low-voltage distribution network compensated by a four-wire, three-phase power conditioner. Firstly, it demonstrates common effects of neutral conductors and grounding impedances on voltage unbalance using OpenDSS simulations. Then, a four-wire DSTATCOM is employed to compensate for unbalanced loads. Time-domain simulations seminally reveal that, although conventional control loops substantially reduce voltage unbalance and neutral voltage magnitudes, they are insufficient to achieve complete unbalance mitigation as initially designed.
Keywords: multi-grounded network, power conditioner, voltage unbalance, distribution system, opendss}

_{Abstract: This paper develops a mathematical model of an Electrical Submersible Pump (ESP) system used in oil extraction in pre-salt regions. Key elements of the ESP system are modeled, analyzed, and solutions are proposed to address start-up and power quality issues. A three-phase squirrel-cage induction motor model is connected to a centrifugal pump in simulation, with inertia and shaft friction considered. The model and simulations provide insight into improving ESP performance and mitigating startup transients.
Keywords: electrical submersible pump, induction motor, system modeling, oil production, power quality}

_{Associated Institutions: UNICAMP · FAPESP · CPTEn · CPFL Energia
Summary: Developed data-driven methodologies for transformer asset management, enabling utilities to improve reliability, prioritize investments, and support energy transition initiatives.
Project Description: Conducted within CPTEn/UNICAMP and funded by FAPESP, this project integrated advanced statistical modeling, machine learning, artificial intelligence, electrothermal transformer modeling, and regulatory-economic analysis to support next-generation asset management practices. The work developed data-driven methodologies for technical loss estimation, transformer situational awareness, critical asset identification, fleet modernization planning, and transformer replacement prioritization. Additional contributions included the development of synthetic load profile generation algorithms, transformer lifetime assessment under reverse power flow conditions, and analytical frameworks to quantify the impacts of photovoltaic generation on distribution assets. The project contributed directly to energy transition initiatives by supporting utilities in improving operational efficiency, resilience, decarbonization, and investment planning through advanced analytics.
Contributions: PD-FAPESP Report, 10.2139/ssrn.5071684, 10.2139/ssrn.5226243, 10.1016/j.enbuild.2024.114934, 10.2139/ssrn.5122359, 10.1109/PESGM52009.2025.11225563, 10.20906/CBA2024/4326, 10.20906/CBA2024/4327, 10.1049/icp.2024.2552}

_{Associated Institutions: UNICAMP · FUNCAMP · ANEEL · CPFL Energia
Summary: Developed an intelligent e-mobility platform and promoted business models to integrate electric vehicles, energy storage, photovoltaics, and smart city solutions.
Project Description: ANEEL-funded project focused on sustainable urban mobility and distributed energy resources integration across the CPFL-Energia network. The project developed a holistic and stochastic framework for electric vehicle charging infrastructure planning, combining transportation, economic, regulatory, and electrical network perspectives. The resulting computational platform supported charging station allocation, sizing studies, battery integration assessments, photovoltaic deployment analyses, and business model evaluation for smart city environments.
Contributions: PD-FUNCAMP Report, 10.20906/CBA2022/3560}

_{Associated Institutions: UNICAMP · FUNCAMP · ANEEL · CPFL Energia
Summary: Evaluated technical, regulatory, and business applications of battery energy storage systems to enhance distribution network flexibility and modernization.
Project Description: Developed during the first year of postdoctoral activities at UNICAMP in collaboration with CPFL Energia, this project investigated the technical, regulatory, and commercial deployment of battery energy storage systems in distribution networks. Activities included field-oriented assessments, business case evaluation, regulatory analysis, and advanced modeling of BESS applications. A particular emphasis was placed on decentralized storage operation in networks with high penetration of distributed generation and prosumers. The project provided strategic recommendations regarding grid modernization, operational flexibility, energy storage regulation, and future business opportunities for utilities operating under energy transition scenarios.
Contributions: 10.1109/PVSC48317.2022.9938858}

_{Associated Institutions: UNICAMP · FUNCAMP · ANEEL · CPFL Energia
Summary: Developed methodologies to assess and mitigate operational impacts of high photovoltaic penetration on distribution network performance.
Project Description: Focused on assessing the impacts of large-scale photovoltaic integration into low-voltage distribution systems. The project developed analytical and computational methodologies to estimate voltage regulation, power factor degradation, transformer loading, technical losses, and phase unbalance under different DER integration scenarios. The results supported the definition of novel utility procedures for distributed generation interconnection studies and informed the development of mitigation strategies for future distribution networks with high renewable energy penetration.
Contributions: Technical reports and novel grid procedures for a major utility. Files are not publicly disclosed due to confidentiality constraints}

_{Associated Institutions: UFJF · INERGE-INCT · EMBRAPII
Summary: Developed advanced analytical methods for voltage stability, power flow solutions, and network reduction in modern active distribution systems.
Project Description: This flagship INERGE-INCT doctoral research project addressed several of the most challenging analytical problems in modern power distribution systems. The research produced original contributions in distribution system reduction techniques, reactive power stability assessment, voltage stability analysis, neutral conductor modeling, and the characterization of multiple operationally stable power-flow solutions in unbalanced networks. Advanced mathematical models and computational methods were developed to support planning and operational studies, significantly improving computational efficiency while preserving modeling accuracy. These methodologies advance the analysis of active distribution systems and provide robust decision-support tools for researchers, utilities, and system operators managing increasingly complex electricity distribution networks.
Contributions: PhD Thesis, 10.1109/TPWRS.2020.3037464, 10.1109/TPWRS.2021.3074540, 10.1109/TPWRS.2021.3084448, 10.1016/j.epsr.2022.108865, 10.1109/TLA.2020.9111684, 10.1109/SBSE.2018.8395664}

_{Associated Institutions: UFJF · INERGE-INCT · EMBRAPII
Summary: Proposed innovative DSTATCOM control strategies to improve voltage quality, mitigate unbalance, and support utility decision-making.
Project Description: Research project focused on developing advanced control strategies for DSTATCOM applications in modern power distribution systems. The project addressed key power quality challenges, including voltage unbalance mitigation, neutral voltage compensation, remote bus voltage regulation, and consumer-generated responsibility assessment. It resulted in novel control algorithms that enhance DSTATCOM performance, improve operational efficiency, and support utility decision-making for power quality management and regulatory compliance.
Contributions: 10.1016/j.ijepes.2020.105957, 10.1109/tla.2020.9049473, 10.1109/cobep/spec44138.2019.9065697, 10.1109/cobep/spec44138.2019.9065714, 10.1109/cobep/spec44138.2019.9065324}

_{Associated Institutions: UFJF · ANP · PETROBRAS · PRH-PB214
Summary: Developed advanced ESP models and control strategies to improve operational performance, reliability, and power quality in oil production systems.
Project Description: Master's research project focused on the advanced modeling, analysis, and control of Electrical Submersible Pump (ESP) systems for offshore oil production. The research developed mathematical models and computational tools to investigate startup dynamics, power quality issues, transmission cable effects, voltage-drop compensation techniques, passive filtering solutions, and the electromechanical interactions between induction motors and centrifugal pumps. The resulting methodologies contributed to improving the operational efficiency, reliability, and economic performance of ESP-based artificial lift systems.
Contributions: MSc Dissertation, 10.1016/j.petrol.2018.11.055}

_{Associated Institutions: UFJF · ANP · PETROBRAS · PRH-PB214
Summary: Investigated harmonic distortion and voltage unbalance impacts on induction motors to support power quality assessment in industrial systems.
Project Description: Undergraduate research project developed under the ANP–PETROBRAS Human Resources Program, focusing on the effects of harmonic distortion and voltage unbalance on induction motor performance. The research developed detailed simulation models to evaluate electromagnetic torque oscillations, current distortion, thermal stress, and operational reliability under degraded power quality conditions. The resulting analyses provided valuable insights into the impact of power quality disturbances on electric machines, supporting the development of monitoring and mitigation strategies for industrial electrical systems.
Contributions: BSc Monograph, Induction Motor Paper}

_{Associated Institutions: UFJF · FAPEMIG
Summary: Developed optimization models to evaluate economic and operational benefits of integrating wind generation into hydrothermal systems.
Project Description: FAPEMIG-funded research project focused on optimizing the economic dispatch of the Brazilian hydrothermal system under increasing wind power penetration. The research developed advanced optimization models to evaluate the operational and economic implications of renewable energy integration in the Brazilian energy system. The resulting analyses demonstrated the potential to reduce operating costs, lessen dependence on thermal generation, and enhance the sustainability of long-term energy planning.
Contributions: FAPEMIG Technical Report}