PROJECT TITLE :
Customer Engagement Plans for Peak Load Reduction in Residential Smart Grids
During this paper, we tend to propose and study the effectiveness of customer engagement plans that clearly specify the amount of intervention in client’s load settings by the grid operator for peak load reduction. We tend to counsel 2 completely different types of plans, together with constant deviation plans (CDPs) and proportional deviation plans (PDPs). We tend to outline an adjustable reference temperature for each CDPs and PDPs to limit the output temperature of every thermostat load and to regulate the amount of devices eligible to participate in demand response program. We model thermostat hundreds as power throttling devices and style algorithms to guage the impact of power throttling states and set up parameters on peak load reduction. Primarily based on the simulation results, we have a tendency to recommend PDPs to the customers of a residential community with variable thermostat set purpose preferences, while CDPs are suitable for customers with similar thermostat set point preferences. If thermostat loads have multiple power throttling states, customer engagement plans with less temperature deviations from thermostat set points are suggested. Contrary to classical ON/OFF management, higher temperature deviations are needed to attain similar amount of peak load reduction. Several alternative attention-grabbing tradeoffs and useful pointers for planning mutually helpful incentives for each the grid operator and customers can additionally be identified.
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