A5024023161- Smart Grid Energy Management
- Microgrid Control and Optimization
- Optimal Power Flow Distribution
- Electric Power System Optimization
- Integrated Energy Systems Optimization
- Power System Reliability and Maintenance
- Electric Vehicles and Infrastructure
- Energy Efficiency and Management
- Building Energy and Comfort Optimization
- Advanced Battery Technologies Research
- Hybrid Renewable Energy Systems
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
- Energy and Environment Impacts
- Social Acceptance of Renewable Energy
- Context-Aware Activity Recognition Systems
- Solar Radiation and Photovoltaics
- Photovoltaic Systems and Sustainability
- Global Energy and Sustainability Research
- Power System Optimization and Stability
- Environmental Impact and Sustainability
- Infrastructure Resilience and Vulnerability Analysis
- Green IT and Sustainability
- Transportation and Mobility Innovations
- Visual and Cognitive Learning Processes
Lawrence Berkeley National Laboratory
2016-2024
National Technical Information Service
2024
Argonne National Laboratory
2024
Office of Scientific and Technical Information
2024
Electric Power Research Institute
2024
National Renewable Energy Laboratory
2024
University of California System
2023
INESC TEC
2013-2016
Institute for Systems Engineering and Computers
2014
Universidade do Porto
2011-2014
Energy supply in rural and off-grid communities has traditionally relied on diesel-based microgrids, due to limited access. But global environmental concerns are pushing for the transformation of these systems into renewable-based microgrids. This transition more complex with a mix dispatchable nondispatchable resources requires new planning tools that ensure security supply. paper presents novel mixed-integer linear optimization model determines optimal technology mix, size, placement,...
The smart grid concept increases the observability and controllability of distribution system, which creates conditions for bi-directional control Distributed Energy Resources (DER). high penetration Renewable (RES) in may create technical problems (e.g., voltage problems, branch congestion) both transmission systems. flexibility from DER can be explored to minimize RES curtailment increase its hosting capacity. This paper explores use Monte Carlo Simulation estimate range active reactive...
This paper presents a quantitative framework to support policy decision-making around equitable energy interventions. By combining sociodemographic and techno-economic models in the space, we propose linear programming model calculate optimal portfolio of investments that explicitly minimizes burden given population insecure households. The is formulated as multi-objective optimization suitable decisions on weatherization deployment distributed resources. We illustrate our methodology with...
In the smart grid environment, reserve services (RS) are also expected from demand side, taking into account flexibility and availability of loads connected grid. This paper proposes a method to calculate thermal domestic for provision upward RS, considering some aspects regarding constructive characteristics appliances, as well consumer habits comfort preferences. A case study comprising 500 consumers with three types (electric water heaters, air-conditioners, refrigerators) will be used...
Wildfires can severely damage electricity grids leading to long periods of power interruption. Climate change will exacerbate this threat by increasing the frequency dry weather conditions. Under these climate conditions, human-related actions that initiate wildfires should be avoided, including those induced systems operation. In paper, we propose a novel optimization model is capable determining appropriate network topology changes (via switching actions) alleviate levels flows through...
We develop a new methodology to select scenarios of DER adoption most critical for distribution grids. Anticipating risks future voltage and line flow violations due additional PV adopters is central utility investment planning but continues rely on deterministic or ad hoc scenario selection. propose highly efficient search framework based multi-objective Bayesian Optimization. treat underlying grid stress metrics as computationally expensive black-box functions, approximated via Gaussian...
Residential consumers are moving to the center of electricity systems and their flexibility is seen as a key resource integrate renewable energy sources support grid. However, residential capacities not homogeneous, they depend on household appliances, comfort patterns, occupancy, climate conditions. Here, we calculate technical 45 consumer types in mainland Spain, organised according income regional criteria. We show that gaps exist at both socioeconomic (income) levels with differences up...
This paper presents a multi-energy microgrid optimal planning method, considering the intra-hour dynamics of heating system as constraints energy dispatch, and consequently sizing Combined Heat Power units. The fixed-mass flow rate method finite difference technique are applied to linearize dynamic constraints. Moreover, determine values mass rates, critical scenario representing slowest heat process is put forward. Finally, realistic case study presented illustrate effect in overall solution.
This paper aims at presenting a Home Energy Management System (HEMS) module capable of scheduling electric water heater (EWH) appliances in order to optimize the PV self-consumption. A multi-period optimization model is presented. Laboratory tests were conducted validate and demonstrate capability this HEMS address recent challenges self-consumption domestic environment. commercial EWH device developed by Bosch communicating with used perform tests.