Non-Intrusive Load Shed Verification

Research Summary: 

Load-shed verification (LSV) can improve reliabil­ity and eliminate freeloaders who accept incentives without implementing direct controls. However, it generates many trust challenges because the consumer owns and operates the ap­pliance and because effective demand response depends on the integrity of the appliances’ re­sponses to load-shed instructions. Nonintrusive load monitoring (NILM) is a method of detecting the current energy consumption of a building, using a single set of sensors on the main building supply. To address the challenges of LSV, we imple­mented an algorithm based on a NILM learning phase that runs during an initialization period at the electricity service provider. The result is a distributed NILM algorithm—a nonintrusive load-shed verification (NILSV) algorithm deployed on the residential meter. This information gained can then be used to verify the effectiveness of smart-grid initiatives such as VAr control and demand-side management in addition to other energy-saving measures. In addition, this information can be used to select devices for distributed control by analyzing not only the type of device but also the real-world operating characteristics. We built a prototype and conducted experiments in a residence to illustrate NILSV’s promise along with some of its challenges.