Abstract
This paper studies energy storage sharing in a grid-connected residential microgrid, where a group of households with controllable loads and renewable generations cooperatively shares an energy storage. By exploiting delay tolerance of elastic loads, we develop a joint real time storage sharing and load management system that takes into consideration the operational constraints of the shared energy storage coupled with the time-varying load demands and stochastic renewable generations of all households, with the aim of minimizing the long term time-averaged energy costs of the households without reducing energy consumption. A Lyapunov-based online battery sharing control algorithm is designed to jointly optimize energy consumption, load scheduling and energy charging/discharging actions of individual households only based on current system states. The proposed online sharing algorithm enables the households to optimally utilize the shared battery and reschedule their delay tolerant loads in a distributed but coordinated fashion, while satisfying the time-varying energy consumption preference of each household. Numerical simulation results demonstrate that the low-complexity joint storage sharing and load scheduling algorithm serves the load demands of each household with a lower delay at a relatively low cost while facilitating a fair utilization of the shared energy among the households in terms of their energy contributions.
Highlights
The fast-growing electricity demand coupled with environmental concerns about traditional fossil-fuel based electricity generation has motivated the integration of renewable energy systems, e.g., solar photovoltaics (PVs)
There have been attempts, such as [5]–[7], employing the Lyapunov optimization techniques in studying joint optimization of storage control and load shifting, where all load demands or all elastic load demands are considered to be scheduled. Different from these works, in this paper, considering discomfort caused by energy consumption deviation, only a portion of elastic loads is rescheduled and the amount of the rescheduled loads, which varies over time depending on energy consumption preferences of the households and dynamics of the system, is to be determined along with charging/discharging and energy consumption decisions on a real time basis
It will be shown that, an appropriate design of the perturbation parameter θ and the control parameter V in the real-time optimization problem P4 will ensure the boundedness of the state of charge (SOC) in (11) is guaranteed, which in turn ensures that the control decisions Y(t) derived from P4 are feasible to P1
Summary
The fast-growing electricity demand coupled with environmental concerns about traditional fossil-fuel based electricity generation has motivated the integration of renewable energy systems, e.g., solar photovoltaics (PVs). There have been attempts, such as [5]–[7], employing the Lyapunov optimization techniques in studying joint optimization of storage control and load shifting, where all load demands or all elastic load demands are considered to be scheduled Different from these works, in this paper, considering discomfort caused by energy consumption deviation, only a portion of elastic loads is rescheduled and the amount of the rescheduled loads, which varies over time depending on energy consumption preferences of the households and dynamics of the system, is to be determined along with charging/discharging and energy consumption decisions on a real time basis. Based on an extension of the battery sharing framework presented in our previous work [34], a Lyapunov-based ESS sharing management system is designed to save energy cost by integrating energy consumption management, load scheduling and energy storage sharing, without requiring any statistical knowledge of the load demands and renewable generations of individual households.
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call