Consensus weighting of a multi-agent system for load shedding
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Vanderbilt University
- Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
- TERNA, Rome (Italy)
- Beijing Jiaotong Univ. (China)
In this work, an agent-based scheme is proposed for distributed underfrequency load shedding (UFLS). The key concept is a consensus weighting protocol (CWP) for agents to reach an agreement. Unlike the well adopted average-consensus protocol (ACP), the proposed CWP enables each agent to converge to its weighted portion of the sum of all initial values. Thus, the proposed CWP is more suitable for the UFLS application, as it allows load buses with a higher level of loading to shed more, rather than reducing by the same average value over all load buses as required by the ACP. Proof of convergence for the proposed CWP is derived and presented in this paper, together with the constraints. For implementation of the multi-agent system (MAS), the monitoring, estimation, and distribution steps are developed. Two study cases and the simulation results are provided to validate the performance of the proposed agent-based UFLS scheme.
- Research Organization:
- Vanderbilt Univ., Nashville, TN (United States)
- Sponsoring Organization:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E); National Science Foundation (NSF)
- Grant/Contract Number:
- AR0000666; AC05-76RL01830
- OSTI ID:
- 1616413
- Alternate ID(s):
- OSTI ID: 1573124; OSTI ID: 1574877
- Report Number(s):
- DOE-VANDERBILT--0000666-32
- Journal Information:
- International Journal of Electrical Power and Energy Systems, Journal Name: International Journal of Electrical Power and Energy Systems Journal Issue: C Vol. 117; ISSN 0142-0615
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
An adaptive approach to load shedding and spinning reserve control during underfrequency conditions
Distributed Load Shedding Application Architecture and Bi-Level Predictive Estimator Algorithm