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A real-coded genetic algorithm is used to schedule the charging of an energystorage system (ESS), operated in tandem with renewable power by an electricityconsumer who is subject to time-of-use pricing and a demand charge. Simulationsbased on load and generation profiles of typical residential customers showthat an ESS scheduled by our algorithm can reduce electricity costs byapproximately 17%, compared to a system without an ESS, and by 8% compared to ascheduling algorithm based on net power.

Charge Scheduling of an Energy Storage System under Time-of-use Pricing and a Demand Charge