Agent‐based system to control the air‐conditioner and EV charging for residents in smart cities. Issue 2 (11th November 2019)

• Record Type: Journal Article
• Authors: Singh, Shashank; Namboodiri, Aryesh; Selvan, Manickavasagam Parvathy
• Is Part Of: IET smart cities. Volume 1:Issue 2(2019)
• Page Start: 71
• Page End: 80
• Publication Date: 2019-11-11
• Subjects: air conditioning -- temperature sensors -- load management -- electric vehicle charging -- smart cities -- transport control -- thermal variables control -- intelligent control -- temperature measurement; smart cities -- residential energy consumption -- electric vehicle charging -- peaky load curves -- EV charging applications -- load‐management strategies -- smart load node -- thermostatically controlled load -- smart battery charge controller -- SLN‐TCL -- agent‐based control system -- air‐conditioner control -- distributed temperature sensing mechanism -- AC control -- DTS; B7230 Sensing devices and transducers -- B7320R Thermal variables measurement -- B8110B Power system management, operation and economics -- B8520 Transportation -- B8550 Air conditioning -- C3120N Thermal variables control -- C3240 Transducers and sensing devices -- C3340B Control of heat systems -- C3340H Control of electric power systems -- C3360 Transportation system control; Smart cities -- Periodicals; City planning -- Technological innovations -- Periodicals; Cities and towns -- Growth -- Periodicals; Sustainable urban development -- Periodicals; Sustainable development; City planning -- Technological innovations; Cities and towns -- Growth; Periodicals; 307.76
• DOI: 10.1049/iet-smc.2019.0060
• Languages: English
• ISSNs: 2631-7680

Abstract

Abstract : Air‐conditioner (AC) accounts for a significant share of residential energy consumption. Considering the widespread rise in electric vehicle (EV) usage, its charging would also contribute a considerable percentage of consumer's total energy consumption. Consequently, the concurrent operation of AC and EV charging would result in peaky load curves. Hence, this study proposes a system of agents for AC and EV charging applications, which incorporates load‐management strategies to flatten the load curve. Thereby, the presented system includes two agents, namely: a smart load node for a thermostatically controlled load (SLN‐TCL) and a smart battery charge controller. Subsequently, a subagent, namely micro‐node, has been introduced to support SLN‐TCL and to implement the concept of distributed temperature sensing (DTS). The implementation of DTS subdues the conventional temperature sensing mechanism of AC and ensures a more flexible operation. This study includes the design, development, and features of agents and subagents for AC and EV applications. Furthermore, this study also demonstrates the agent‐based control actions for peak‐shaving under real conditions to showcase the performance of this system.