A retroactive approach to microgrid real-time scheduling in quest of perfect dispatch solution

• Published in: Journal of modern power systems and clean energy Vol. 7; no. 6; pp. 1608 - 1618
• Main Authors: JIA, Youwei, LYU, Xue, LAI, Chun Sing, XU, Zhao, CHEN, Minghua
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.11.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); IEEE
• Subjects: Computer simulation; Distributed generation; Electric power distribution; Electric power grids; Electric power systems; Electrical loads; Electrical Machines and Networks; Energy; Energy Systems; Grid integration; Microgrid; Perfect dispatch; Performance prediction; Power Electronics; Predictive control; Real time; Real-time scheduling; Renewable and Green Energy; Renewables; Scheduling; Stochastic models; Perfect dispatch; Real-time scheduling; Grid integration; Microgrid; Renewables
• ISSN: 2196-5625; 2196-5420
• DOI: 10.1007/s40565-019-00574-2

As an emerging paradigm in distributed power systems, microgrids provide promising solutions to local renewable energy generation and load demand satisfaction. However, the intermittency of renewables and temporal uncertainty in electrical load create great challenges to energy scheduling, especially for small-scale microgrids. Instead of deploying stochastic models to cope with such challenges, this paper presents a retroactive approach to real-time energy scheduling, which is prediction-independent and computationally efficient. Extensive case studies were conducted using 3-year-long real-life system data, and the results of simulations show that the cost difference between the proposed retroactive approach and perfect dispatch is less than 11% on average, which suggests better performance than model predictive control with the cost difference at 30% compared to the perfect dispatch.