Review of Evaluating Schedule Potential of Flexible Loads in Regulation Services of Power Systems

To reduce carbon emissions, renewable energies (REs) are significantly increasing, whose intermittent and uncertainty bring huge operation risks to the power system. More regulation resources are needed to balance the power generation and the power consumption. However, the traditional fossil energy generators are phasing out and cannot provide enough regulation capacity. With advances in information and communication technologies, flexible loads can be utilized to provide regulation services for the power system. Before flexible loads participate in regulating, it is necessary for power system operators to obtain their schedule potential in advance. Schedule potential evaluation of flexible loads is a huge challenge due to the variety of their types and operation modes. To address this issue, a large number of studies have given different evaluation methods. This paper investigates the schedule potential evaluation methods of different types of flexible loads, including model-based methods, grey box-based methods and big data-based methods. On this basis, some suggestions on the schedule potential evaluation of flexible loads are proposed to improve the accuracy in power system regulation services.