A5091553634- Electric Power System Optimization
- Energy Load and Power Forecasting
- Power System Reliability and Maintenance
- Water-Energy-Food Nexus Studies
- Solar Radiation and Photovoltaics
- Energy and Environment Impacts
- Global Energy Security and Policy
- Wind Turbine Control Systems
- Wind Energy Research and Development
- Integrated Energy Systems Optimization
- Climate Change Policy and Economics
- Energy Efficiency and Management
- Smart Grid Security and Resilience
- Water Systems and Optimization
- Environmental and Industrial Safety
- International Development and Aid
- Risk Management in Financial Firms
- Cybersecurity and Information Systems
- Capital Investment and Risk Analysis
- Microgrid Control and Optimization
- Hydropower, Displacement, Environmental Impact
- Auction Theory and Applications
- Optimal Power Flow Distribution
- Water resources management and optimization
- Insurance and Financial Risk Management
National Renewable Energy Laboratory
2017-2025
Johns Hopkins University
2016-2019
Transmission planning has traditionally followed a "generation first" or "reactive" logic, in which network reinforcements are planned to accommodate assumed generation build-outs. The emergence of renewables revealed deficiencies this approach, that it ignores the interdependence transmission and investments. For instance, grid investments can provide access higher quality thus affect plant siting. Disregarding complementarity increases costs. In theory, be corrected by "proactive"...
This paper provides a model-free framework for real-time control of wind farms to accurately track power reference signal. problem requires tractable dynamical models capturing the aerodynamic interaction between turbines and controllers that can make decisions in realtime given varying atmospheric conditions. In this paper, we propose deep reinforcement learning provide yaw farm. Modifications have been made FLOw Redirection Induction Steady State (FLORIS), modeling tool incorporates...
How can independent system operators (ISOs) take advantage of probabilistic solar forecasts to lower generation costs and improve reliability power systems? We discuss one three-step approach for doing so, focusing on how such might help the California Independent System Operator (CAISO) prepare unexpected net load ramps, where equals gross demand minus wind production. First, we enhance an existing forecasting provide well-calibrated hours-ahead forecasts. then relate degree uncertainty...
To date, wind and solar power plants have mainly provided energy. Going forward, with the application of appropriate controls, they can offer additional grid services, such as regulating reserves. Additional services present an opportunity for value streams to plants. However, might not be realized when operator-determined performance targets settlement adjustments delivery regulation capacity are disregarded. This article studies participation variable resources in centralized markets. We...
This article considers joint active power control of wind turbines and battery storage to follow a plant-level reference signal. The dynamically curtails the energy from subset stores or withdraws meet setpoint while accounting for plant aerodynamic interactions, such as wake losses. As use case, we study performance controller in maintaining constant output over hourly periods. A operating this way would rely much less on other grid resources its contractual agreements, thereby improving...
Power system operators procure and deploy flexibility reserves or ramping products to address balancing needs caused by uncertainty variability of load generation. Existing methods estimate using calendar information historical forecast errors. Novel investigate if real-time weather could inform other requirements. This paper compares estimation for requirements in theory practice. The theoretical framework indicates when an alternative method yield improved economic reliability performance...