In a recent study published in Engineering, a team of researchers led by Bo Hu and Changzheng Shao from Chongqing University in China has introduced a novel method for evaluating the real-time dynamic reliability of composite power systems integrated with renewable energy sources (RES). The research addresses the challenges posed by the uncertainties associated with RES, which have been a significant obstacle in ensuring the stable and reliable operation of power grids.
The increasing integration of RES, such as wind and solar power, into the power grid has brought about concerns regarding power imbalance and load shedding due to their inherent uncertainties. The new approach aims to provide a more accurate and timely assessment of the operational reliability of power systems, thereby guiding economic dispatch and reducing risks.
The proposed method consists of two key components: a uniform design (UD)-based contingency screening and a modified stochastic response surface method (mSRSM). The contingency screening technique is designed to identify critical contingencies while considering the uncertainties associated with RES and load variations. By reducing the number of contingencies that need to be analyzed, the computational complexity of the reliability evaluation is significantly decreased.
The mSRSM, on the other hand, is used to construct analytical functions that map the load shedding to the load and RES generation for the selected contingencies. This allows for a more efficient assessment of reliability when the load and RES change, eliminating the need for laborious optimal power flow (OPF) calculations.
The research team validated their approach through case studies on three power systems: the Roy Billinton Test System (RBTS), the Reliability Test System (RTS)-79, and the RST-96. The results demonstrated that the proposed method not only exhibited high accuracy in predicting reliability indices such as the loss of load probability (LOLP) and the expected demand not supplied (EDNS), but also significantly reduced the computational time compared to traditional methods.
This research represents a significant step forward in the field of power system reliability evaluation. By providing a more accurate and efficient means of assessing the reliability of power systems with RES, the new approach could have far-reaching implications for the future development and operation of sustainable power grids. It offers a practical solution for power system operators to better manage the uncertainties associated with renewable energy integration and ensure the reliable supply of electricity to consumers.
The paper “A Fully Analytical Approach for the Real-Time Dynamic Reliability Evaluation of Composite Power Systems with Renewable Energy Sources,” authored by Longxun Xu, Bo Hu, Changzheng Shao, Kaigui Xie, Congcong Pan, Heng-Ming Tai, Wenyuan Li. Full text of the open access paper: https://doi.org/10.1016/j.eng.2024.09.023. For more information about the Engineering, follow us on X (https://twitter.com/EngineeringJrnl) & like us on Facebook (https://www.facebook.com/EngineeringJrnl).