d Management: Coordination of a Diverse Set of ermostat-Controlled Household Appliances

mand Side Management (DSM) in power systems, although in principle known s been getting an increasing amount of attention during the last few years. In its , DSM basically consists of the deactivation of large loads during peak hours, ancial incentives for users [1,2] or remote-controlled by the electricity provider control equipment). The goal of these approaches is usually the reduction of k electricity demand. More sophisticated control tasks as e.g. the provision of es, however, cannot be tackled with these concepts. recent DSM approaches, also referred to as load management, seek to go being applications: they include operation on shorter time scales (minutes instead he control of smaller units (such as flexible household loads) and shall make an tion to grid control by enabling the appliances to both reduce and enforce conontrolled way. This requires a coordination of a multitude of units using two-way and novel control algorithms. An example for a mixed-integer optimization apve a coordinated appliance operation can be found in [3]. If successfully applied, ent can offer various advantages for the participating parties as outlined in the ease in grid security and enhanced control possibilities, peak load reduction and e opportunities for electricity service providers (such as the provision of tertiary s), grid integration of intermittent renewable energy sources and reduced final s are examples for possible positive impacts. Apart from that, device-dependent n the case of a contingency can be an attractive option to complement or replace l automatic load shedding schemes which cause blackouts in entire regions.