A comprehensive and modular set of appliance operation MILP models for demand response optimization

Demand response programs are essential to enable accommodating larger shares of variable power generation based on renewable sources, the deployment which is imperative for decarbonizing economy and mitigating global warming. Consumers/prosumers increasingly exposed may benefit from time-differentiated energy prices aimed induce changes in regular consumption patterns. These also beneficial retailers grid operators face variability wholesale market prices, availability conditions. The optimization models be implemented autonomous home management systems require a rigorous modeling appliance operation generate effective load scheduling solutions, respecting their physical principles use patterns everyday life. A balance should sought between detail level computational requirements usable solutions having mind implementation low-cost processors. This paper presents comprehensive modular set mixed-integer linear programming at enabling seamless incorporation systems, allowing integrated all resources (exchanges with grid, management, electric vehicle stationary battery, local microgeneration). Detailed shiftable, interruptible thermostatic loads presented, including cost component ways dealing user's discomfort. presented building block manner enhancing flexibility utilization overall different objective functions encompassing economic comfort dimensions. Computational results case study using actual data, considers time-of-use tariff six periods. In addition comparing plain scheme, consumer profiles simulated assess impact cost. show that whenever consumers have change patterns, they able lower net electricity bill by an system endowed herein proposed make optimized decisions behalf.