Impact of non-compliance in consumption schedules of smart distribution networks with price-based demand response programs

Abstract

Residential demand management provides benefits to electric grids that reduce operating costs. However, the effectiveness of residential demand management may depend on human behavior, being affected if it is not as expected. In this work we study the impact of non-compliance in the demand management of residential users. Fictitious users with preferences for their devices and welfare are created. Then, non-compliances are defined and the simulated system is operated. Based on the different scenarios, the operating costs for different amounts of non-compliance users and diversion magnitudes are analyzed. The results show that for small consumption deviations, the system tolerates high non-compliance percentages, reaching cost overruns close to 1%. When the deviation is higher, the convenience of demand management is not guaranteed, reaching cost overruns close to 5%, making demand management inconvenient. It is concluded that a demand aggregator can allow a certain level of deviation in all its users without being affected, being for the case of study a 25% deviation from its w2 value.