Dynamic Stochastic Optimal Power Flow Control for Power Systems with Intermittent Renewable Energy Generation

Market Overview:

Renewable energy such as wind, photovoltaic, and solar thermal generation require control of power systems that account for high short-term variability and uncertainty with these intermittent energy sources.  Power system security needs to be ensured dynamically as the system operating condition continuously changes.  This technology features a dynamic stochastic optimal power flow (DSOPF) control system for performing multi-objective optimal control capability in complex electrical power systems.  The DSOPF system and method replaces the traditional adaptive critic designs (ACDs) and secondary voltage control, and provides a coordinated AC power flow control solution to the smart grid operation in an environment with high short-term uncertainty and variability.  The DSOPF system and method is used to provide nonlinear optimal control, where the control objective is explicitly formulated to incorporate power system economy, stability and security considerations. The system and method dynamically drives a power system to its optimal operating point by continuously adjusting the steady-state set points sent by a traditional optimal power flow algorithm.


· Renewable Energy Markets

· Wind

· Solar

· Photovoltaic


· Real-time system management

· Increased system stability and control


Related Publications:

· J. Liang, G.K. Venayagamoorthy, R.G. Harley. Wide-area measurement based dynamic stochastic optimal power flow control for smart grids with high variability and uncertainty. IEEE Transaction on Smart Grid. 3 (1) (2012) 59-69.

· J. Liang, R.G. Harley, G.K. Venayagamoorthy.  Adaptive critic design based dynamic optimal power flow controller for a smart grid. Computational Intelligence Applications In Smart Grid (CIASG), 2011 IEEE Symposium (2011) 1-8.


Inventors:                      Kumar Venayagamoorthy, et al.

Protection Status:         Patent application filed

Licensing Status:          Available for licensing

CURF Ref No:              2012-111


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Patent Information:
For Information, Contact:
Andy Bluvas
Technology Commercialization Officer
Clemson University Research Foundation
Ganesh Venayagamoorthy
Jiaq Liang
Ronald Harley
Electronics Parts/Manufacturing
Energy - Green Technology
Power Grid Technologies
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