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Demand side management is a strategy by which utilities can vary the consumer demand during peak hours. Utilities globally are looking for solutions by which they can keep a demand and supply balance. Demand supply balance is essential to keep the grid safe and secure. Moreover, DSM measures are used to reduce outages, make electricity affordable, to increase reliability in electricity supply and to provide a competitive tariff. In recent years’ government has been pushing for various demand side management schemes. Many policies have been formulated vis-a-vis energy efficiency, retrofitting, electric vehicles and their charging infrastructure. But many of these DSM measures have been moderately successful owing to multiple reasons like, lack of consumer awareness, lack of affordability, consumer ignorance to new technology, lack of monitoring from the utility side, nonsupportive government policies, regulatory roadblocks etc. Many DSM strategies like home automation, demand response, smart metering has not taken off in full swing due to some issues listed above. For successful DSM strategies, utilities will need to look into or analyze the issues plaguing the industry and then make concerted efforts to address them all.
In the thesis, I have tried to bring forward two DSM strategies one is on analyzing the impact of Automated Demand Response phase I pilot study through an exploratory survey and the use of clustering methods for a targeted ADR phase II study, while the second is on analyzing the impact of heat reflective paint on the rooftop of low income communities. Analysis for both the DSM schemes has been carried out separately. For automated demand response, phase I pilot study results have been analyzed through a survey and clustering methods such as K-means and Principal component analysis using MATLAB have been suggested for customer segmentation and a more targeted ADR phase II pilot. In the second DSM measure, the results of heat reflective paint on the rooftop have been analyzed for two months (April & May) using STATA.
In the conclusion, I have tried to sum up the reductions achieved by using the DSM strategies and also highlighted the way forward for a robust DSM strategy for a utility.
Keywords: Demand side management, demand response, automated demand response, heat reflective paint, load profile, k-means, principal component analysis, consumer tariff, Energy Efficiency
