Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices

—Dynamic energy pricing is a promising technique in the Smart Grid to alleviate the mismatch between electricity generation and consumption. Energy consumers are incentivized to shape their power demands, or more specifically, schedule their electricity-consuming applications (tasks) more prudently to minimize their electric bills. This has become a particularly interesting problem with the availability of residential photovoltaic (PV) power generation facilities and controllable energy storage systems. This paper addresses the problem of joint task scheduling and energy storage control for energy consumers with PV and energy storage facilities, in order to minimize the electricity bill. A general type of dynamic pricing scenario is assumed where the energy price is both time-of-use and power-dependent, and various energy loss components are considered including power dissipation in the power conversion circuitries as well as the rate capacity effect in the storage system. A negotiat...

• Type: Journal
• Year: 2015
• Where: ASPDAC
• Authors: Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram
• Keywords: ASPDAC 2015, Hardware