PNNL plays a leading role in developing a power grid that enables real-time predictive operation to improve reliability and efficiency incorporates advanced controls that engage new devices and enable new services at scale while ensuring resilience and uses new approaches and technologies, such as energy storage, microgrids, and transactive energy, to provide flexibility in support of an array of energy futures. We are a national leader, with deep scientific knowledge and technical resources, defining the modern grid for the 21st century. Achieving this resilience is essential, even as we attain higher standards of performance in reliability, cost of service, efficiency, environmental impact, and safety.Īt PNNL, we are taking on the toughest challenges presented by grid modernization. We also must address load volatility and power quality issues caused by the intermittency of renewable energy resources such as solar and wind. We must protect the nation’s power delivery system from cyber and physical attacks and from extreme weather events and natural disasters. Our grid must also be made more resilient. But in its current state, the grid is not ready to meet the growing electricity needs of our digital economy, nor is it ready to meet the complex challenges brought on by widespread adoption of distributed energy resources, the electrification of transportation, and increased customer choice. Sarah Gerrity more by this author Allison Lantero Served as Digital Content Specialist in the Office of Public Affairs. It is often described as one of the greatest engineering achievements of the 20th century. Our electrical grid has served us well for more than 100 years, and we are working to ensure it continues for many years to come. The electric grid powers our daily lives and our nation’s economy.
Distinguished Graduate Research Programs.
Marine Energy Resource Characterization.Environmental Monitoring for Marine Energy.Hydropower Cybersecurity and Digitalization.Environmental Performance of Hydropower.Grid Integration, Controls, and Architecture.Energy Efficient Technology Integration.Mass Spectrometry-Based Measurement Technologies.Our work focuses scalable, robust, and plug'n'play control and optimization strategies for the problems of synchronization and load sharing, voltage stabilization, secondary regulation and economic dispatch, as well as their experimental validation in microgrids.
Despite this superficial similarity, the control objectives in microgrids across these three layers are varied and ambitious, and they must be achieved while allowing for robust plug-and-play operation and maximal flexibility, without hierarchical decision making and time-scale separations. Modeled after the hierarchical control architecture of power transmission systems, a layering of primary, secondary, and tertiary control has become the standard operation paradigm for microgrids. Microgrids are able to connect to a larger electric power system, but are also able to island themselves and operate independently. Microgrids are low-voltage electrical distribution networks, composed of distributed generation, storage, load, and managed autonomously from the larger transmission network. With the goal of integrating distributed renewable generation and energy storage systems, the concept of a microgrid has recently gained popularity. Rather than fixing the control structure a priori, our work employs the recently-introduced paradigm of sparsity-promoting optimal control to simultaneously identify the optimal control structure and optimize the closed-loop performance.ĭistributed control and optimization in microgrids Since inter-area oscillations are typically poorly controllable by means of local control, recent efforts have been aimed at developing wide-area control strategies that involve communication of remote signals. We follow the slow coherency approach based on identifying and aggregating sparsely and densely connected areas of a network, within which all generators swing coherently. To tackle the complexity of inter-area oscillations for analysis, control design, and monitoring schemes, it is of interest to construct reduced-order models which preserve the dynamics of interest. In this project, we are interested in the electromechanical inter-area oscillations, which are associated with the dynamics of power transfers and involve groups of generators oscillating relative to each other. A power network is a large-scale and complex dynamical system combining both the rich dynamics of the individual subsystems as well as their non-trivial interaction through the network.
0 kommentar(er)
