Jump Linear Quadratic Control for Energy Management of a Nanogrid
Energy security and the aging grid infrastructure in the United States are two important subjects at the crossroads between politics and technology. One proposed solution to these two issues revolves around the concept of an islanded microgrid. Microgrids are becoming increasingly popular, combining multiple energy generation and storage systems to diversify and secure their private energy portfolios. The work presented in this paper is the application of jump linear quadratic (JLQ) control to the energy management of an islanded microgrid operating with a solar generation, fuel cell, and battery energy storage system. A continuous finite state Markov chain is used to model the intermittent generation of the solar array. The microgrid's energy management model is formulated, stochastic optimal feedback control is obtained, and results from an example illustrate the validity of the proposed approach.
N. Tucker & M. Khanbaghi. (2018). Jump Linear Quadratic Control for Energy Management of a Nanogrid. 2018 Annual American Control Conference (ACC), 3171–3176. https://doi.org/10.23919/ACC.2018.8431455