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Date: April 2020
When 20 GW of wind did not show up during a hot Texas summer day, the price of energy skyrocketed to $9,000/MWh for multiple intervals in the ERCOT market during summer 2019. Retail energy providers and other utilities went into overdrive to dispatch all their demand response programs, not only to lower their MW obligation through these extreme price intervals, but to also shed their contribution to the coincident peak which drives the transmission cost of service.
With summer demand increasing, CPS Energy needed to grow their DR customer commitments by 38 MW in under six weeks. With so many different types of programs to manage and communicate, it was imperative to maintain robust DR lifecycle management processes to optimize DR dispatch strategy on an event-by-event basis.
In this session, you learn how CPS was able to rapidly scale their DR program, provide customer communications despite time constraints, and deliver savings to avoid peak usage at extreme prices. You also get a peek into how CPS Energy’s sophisticated DR dashboard provided crucial near real-time feedback. This dashboard was built internally by leveraging a combination of big data analytics and end-use AMI data from over 450k customers.
Speakers:
Jenny Roehm, Schneider Electric
Brad Davids, Google