Distributed real-time power flow control with renewable integration
- Resource Type
- Authors
- Kiyoshi Nakayama; Jack Brouwer; Changhong Zhao; Lubomir Bic; Michael B. Dillencourt
- Source
- Nakayama, K; Zhao, C; Bic, LF; Dillencourt, MB; & Brouwer, J. (2013). Distributed real-time power flow control with renewable integration. 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013, 516-521. doi: 10.1109/SmartGridComm.2013.6688010. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1cf8h3q3
SmartGridComm
- Subject
- Battery (electricity)
Engineering
Mathematical optimization
Electricity generation
Smart grid
business.industry
Control engineering
Graph theory
business
Optimal control
Energy storage
Power (physics)
Renewable energy
- Language
- English
We formulate an Optimal Real-Time Power Flow (ORPF) problem that integrates renwable energy generation and energy storage. In the ORPF problem, we seek to minimize the costs of energy storage and of power generation from fossil fuel that are required to balance the loads and generation from renewable sources. We present a novel decentralized algorithm for this problem, using tie-set graph theory. Tie-set graph theory significantly reduces the complexity of the ORPF problem by dividing a power network into a set of independent loops referred to as "tie-sets." Simulation results demonstrate real-time power production responses and flow controls that lead to reliable use of battery systems and reduce the cost of using fossil fuel. © 2013 IEEE.