Effective consumption scheduling for demand-side management in the smart grid using non-uniform participation rate

Abstract

Abstract-Periods of peak consumer demand in today's electricity sector are expensive to satisfy and can be the source of power failures. One possible solution is the use of demandside management (DSM) applying dynamic pricing mechanisms. However, instead of reducing peak loads, these mechanisms can lead to peak-shifting due to the herding effect of consumers' loadshifting behavior. To overcome this problem, we explore strategies of assigning (non-uniform) participation rates to consumers. We use a generic method to find a near-optimal distribution setting for participation rates. Our method allows DSM designers to tune the system toward consumer convenience. This means less frequent consumption schedule changes, in the price of system performance. In addition, consumers do not need to reveal their detailed consumption schedules (hence, their privacy is preserved). Using experiments, we show the impact of the herding effect and evaluate the effectiveness of the proposed solution. We thereby demonstrate price fairness for consumers. Finally, we apply our solution to a more realistic environment -one where consumers change their consumption behavior every day.

Cluster-based aggregate forecasting for residential electricity demand using smart meter data

“…In this context, energy consumption prediction for different time horizons (e.g., 1 hour ahead, 1 day ahead, 1 month ahead) and space scales (e.g., distribution transformer, individual house-level meter) is also becoming crucial for many applications, such as frequency and voltage regulation, demand response (to estimate customer's baseline [37]), and autonomous energy and emergency management [28], [40]. While longterm load forecasting (1-10 years ahead) is important for A preliminary version of this work has appeared in [19].…”

RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management

“…In [20], the authors discovered a basic scheme to get a near optimal distribution setting for contribution tariffs. This scheme allows DSM originators to adjust the system headed to users' suitability which leads to a fewer regular consumption schedule adjustment, in the cost of system performance.…”

Price-based load coordination revisited: augmenting open-loop coordination approaches

“…Finally, participation constraints on behalf of customers may also reduce the effectiveness of the proposed coordination schemes and may result in additional (contracting) costs. This may be solved by applying mechanism design principles (Fahrioglu and Alvarado 2000) or considering non-uniform participation rates in the evaluation (Wijaya et al 2013).…”