Demand Response Analogues for Residential Loads in Natural Gas Networks

Demand response for electrical power networks is a mature field that has yielded numerous efficiency and resilience benefits like managing the peaks valleys of electricity usage, reduction in peak to name few. However, only recently study counterpart demand electric natural gas started receive similar levels attention. Natural systems are increasingly operating at or near capacity, which challenges these meet all needs gas, especially during severe winter weather. unlike programs networks, cannot shift usage. Here, we develop analogues can help improve by reducing consumption thereby limiting potential disruptions such events cause. This paper develops mathematical formulation support residential-level analogue based on current anticipated smart thermostat technologies. The takes form an optimal control problem (OCP) leverages physics constraints model temperature changes, balance equitable service, optimize collections houses. On test problems, demonstrates significant benefits, including ability cut 15% while still ensuring service customers.