An Optimal Allocation of Reactive Power Capable End-User Devices for Grid Support

• Published in: IEEE systems journal Vol. 15; no. 3; pp. 3249 - 3260
• Main Authors: Kashif, Muhammad, Hossain, M. J., Fernandez, Edstan, Nizami, M. S. H., Ali, Syed Muhammad Nawazish, Sharma, Vivek
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Capacitors; Cloud communication; Cloud computing; Complexity; Consumers; demand-side management; device to grid; Devices; Electric vehicles; Feeders; Home appliances; Household appliances; Inverters; Methodology; Optimization; Photovoltaic cells; Power consumption; Reactive power; reactive power support (RPS); Reliability; Resource management; Schedules; Service life assessment; Voltage control
• DOI: 10.1109/JSYST.2020.2993065
• ISSN: 1932-8184

The increasing penetration of photovoltaic (PV) systems in low-voltage residential feeders has elevated the need for grid support at the distribution level to prevent violations of local voltage constraints. In this article, a coordinated reactive power support (RPS) methodology is presented that utilizes the demand-side flexibilities of the end user to keep local voltage levels within allowed levels. A cloud-based architecture is implemented to optimally coordinate consumers' reactive power capable demand-side resources such as electric vehicles, solar PV systems, flexible home appliances, etc., considering their varying characteristics, ratings, and purposes. An optimization-based two-stage device scheduling and management model is presented for the cloud server that schedules consumers' devices in day ahead for cost minimization, and optimally allocates the required RPS in real time among the candidate devices based on priority. Two device prioritization strategies are proposed that consider the reliability of reactive power capable consumer devices and management complexity, thereby, allowing consumers to either enhance the candidate devices' lifetime or reduce the management complexity while participating in grid support. The proposed RPS methodology is validated using simulation studies, and an experimental setup is established to verify the viability of the proposed cloud-based coordination system for RPS. Case studies indicate that the proposed method can effectively prevent overvoltage situations by using coordinated RPS from consumers' devices while maximizing their reliability. Results also indicate that the proposed methodology is economically more viable than state-of-the-art voltage control strategies.