Multi-scale Transactive Control In Interconnected Bulk Power Systems Under High Renewable Energy Supply and High Demand Response Scenarios
David P. Chassin

TL;DR
This thesis develops a hierarchical transactive control system that integrates demand response and renewable energy resources, improving efficiency, reliability, and reducing emissions in interconnected power systems.
Contribution
It introduces a novel multi-scale transactive control framework that unifies energy, capacity, and regulation markets, with validated models and strategies for high renewable penetration scenarios.
Findings
Potential US$150B annual cost savings by 2024 in WECC system
Enhanced renewable resource utilization through multi-layer control
Effective control of thermal loads using a new thermostat model
Abstract
This thesis presents the design, analysis, and validation of a hierarchical transactive control system that engages demand response resources to enhance the integration of renewable electricity generation resources. This control system joins energy, capacity and regulation markets together in a unified homeostatic and economically efficient electricity operation that increases total surplus while improving reliability and decreasing carbon emissions from fossil-based generation resources. The work encompasses: (1) the derivation of a short-term demand response model suitable for transactive control systems and its validation with field demonstration data; (2) an aggregate load model that enables effective control of large populations of thermal loads using a new type of thermostat (discrete time with zero deadband); (3) a methodology for optimally controlling response to frequency…
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Taxonomy
TopicsSmart Grid Energy Management · Integrated Energy Systems Optimization · Microgrid Control and Optimization
