Decentralized State Estimation and Remedial Control Action for Minimum Wind Curtailment Using Distributed Computing Platform
Intermittency of wind energy poses a great challenge for power system operation and control. Wind curtailment might be necessary at the certain operating condition to keep the line flow within the limit. Remedial Action Scheme (RAS) offers quick control action mechanism to keep reliability and security of the power system operation with high wind energy integration. In this paper, a new RAS is developed to maximize the wind energy integration without compromising the security and reliability of the power system based on specific utility requirements. A new Distributed Linear State Estimation (DLSE) is also developed to provide the fast and accurate input data for the proposed RAS. A distributed computational architecture is designed to guarantee the robustness of the cyber system to support RAS and DLSE implementation. The proposed RAS and DLSE is validated using the modified IEEE-118 Bus system. Simulation results demonstrate the satisfactory performance of the DLSE and the effectiveness of RAS. Real-time cyber-physical testbed has been utilized to validate the cyber-resiliency of the developed RAS against computational node failure.
- Research Organization:
- Vanderbilt Univ., Nashville, TN (United States)
- Sponsoring Organization:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- Grant/Contract Number:
- AR0000666
- OSTI ID:
- 1417238
- Report Number(s):
- DOE-VANDERBILT-0000666-13; TRN: US1801011
- Journal Information:
- IEEE Transactions on Industry Applications, Vol. 53, Issue 6; ISSN 0093-9994
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Similar Records
An Interior-Point Solver for AC Optimal Power Flow Considering Variable Impedance-Based FACTS Devices
Efficient Modeling of HIL Multi-Grid System for Scalability & Concurrency in CPS Security Testbed