Optimal LED-Based Illumination Control Via Distributed Convex Optimization

Abstract Achieving illumination and energy consumption targets is essential in indoor lighting design. The provision of localized illumination to occupants and the utilization of natural light and light-emitting diode (LED) luminaires can help meet both objectives. This paper presents several distributed optimal illumination control schemes that provide localized illuminance to occupants. The lighting system consists of multiple LED-based luminaires, each governed by an individual local controller. The illuminance requirements and energy costs for the lighting system are expressed as a linear programming problem that is solved in a distributed manner, using only local communication amongst the controllers. State-of-the-art accelerated first-order methods are applied to parallelize the optimization among multiple controllers. Practical aspects such as convergence rate, computational complexity and communication requirements are investigated via simulations.