[HEMS 2] Combining heat pumps and electric vehicles to help integrating renewable sources in the distribution grid
Thermal appliances and electric vehicles account for most of the consumption in residential energy use in a fully electrified scenario. As electrification of loads in continuously increasing, thermal appliances, such as heat pumps, and electric transportation will increase in households. The resulting amount of electricity consumed will pose challenges for the distribution system.
Although the flexibility associated with appliances and time varying prices can achieve tangible benefits for customers, current residential load control activities are mainly operated manually, which posts great challenges to customers in optimally scheduling the operations of their appliances. Some customers may not have time to make such scheduling decisions and if prices vary fast and frequently, scheduling may be too complex. Hence, an automated Home Energy Manager System (HEMS) is necessary to optimize the appliances’ operation on behalf of customers .
The aim of this master thesis will be to assess the Demand Response potential of aggregated heat pumps and electric vehicles to help integrating renewable sources in the distribution grid. The MILP problem of an optimal scheduling will be solved using CPLEX and MATLAB. The student will focus on the economic benefits of coordinated heat pumps (e.g. incentives for participating to ancillary services, subsidies from the government and/or the DSO, electricity retail prices, etc.).
 C. Chen, J. Wang, S. Member, Y. Heo, and S. Kishore, “MPC-Based Appliance Scheduling for Residential Building Energy Management Controller,” vol. 4, no. 3, pp. 1401–1410, 2013.