Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array

Abstract

Newcastle University ePrints -eprint.ncl.ac.uk Wu X, Hu X, Moura S, Yin X, Pickert V. Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array. AbstractEnergy management strategies are instrumental in the performance and economy of smart homes integrating renewable energy and energy storage. This article focuses on stochastic energy management of a smart home with PEV (plug-in electric vehicle) energy storage and photovoltaic (PV) array. It is motivated by the challenges associated with sustainable energy supplies and the local energy storage opportunity provided by vehicle electrification. This paper seeks to minimize a consumer's energy charges under a time-of-use tariff, while satisfying home power demand and PEV charging requirements, and accommodating the variability of solar power. First, the randomvariable models are developed, including Markov Chain model of PEV mobility, as well as predictive models of home power demand and PV power supply. Second, a stochastic optimal control problem is mathematically formulated for managing the power flow among energy sources in the smart home. Finally, based on time-varying electricity price, we systematically examine the performance of the proposed control strategy. As a result, the electric cost is 493.6% less for a Tesla Model S with optimal stochastic dynamic programming (SDP) control relative to the no optimal control case, and it is by 175.89% for a Nissan Leaf.

Secure Automated Home Energy Management in Multi-Agent Smart Grid Architecture

“…Such applications include for example, DR simulation models proposed by Sarvapali et al [8], Fazal et al [9] and Gomes et al [10]. Wu et al [11] propose a solution that aims to minimize energy charges under a Time of Use (TOU) tariff in a way that takes into consideration home power demand, plug-in electric vehicle (PEV) charging need and the fluctuation of solar power. The authors in their more recent work [12] utilise convex programming to optimize the control decision and parameters of home battery energy storage systems in smart homes with PEVs and photovoltaic (PV) arrays.…”

Reliable Residential Backup Power Control System Through Home to Plug-In Electric Vehicle (H2V)

“…This type of power consumption on a local scale can lead to grid pressure [15]. The coordinated charging is proposed to minimize the power losses and to maximize the main grid load factor [16,17].…”

“…In [24,25] the idea of sharing the energy between the home and the vehicle and use the energy from vehicle to home (V2H) to supply power to the home appliances during the grid peak demand (i.e., when the prices are the highest), is presented. Thus, making the utilization of EV for peak power management of utility grid is also one of EV utilization that explained [26,27].…”

Integration Design and Optimization Control of a Dynamic Vibration Absorber for Electric Wheels with In-Wheel Motor

“…In recent years, electric vehicles (EVs) have entered a new paradigm due to their advantages, compared to vehicles with internal combustion engines (ICEs), in terms of energy efficiency and environmental friendliness [1][2][3][4]. Central motor solutions, which are similar to ICE vehicles and currently dominate the EVs market, are still rather complex due to the number of moving parts.…”