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Elaborating on the fate tendency of thifluzamide (thiazole-amide fungicide) in buckwheat based on nationwide application is vital for grain security and human health based on nationwide application. A rapid and sensitive analytical method was developed to trace thifluzamide in buckwheat matrices using an ultrahigh-performance liquid chromatography-tandem triple quadrupole mass spectrometer (UHPLC-MS/MS), with a retention time of 2.90 min and limit of quantitation (LOQ) of 0.001 mg/kg. Thifluzamide could be stably stored for 84 d in buckwheat matrices under –20 °C under dark condition. The occurrence, dissipation and terminal magnitudes of thifluzamide were reflected by the primary deposition of 0.02–0.55 mg/kg, half-lives of 12–14 d, and highest residues of 0.41 mg/kg. The long-term risks (ADI%) of thifluzamide were 37.268 %–131.658 % in registered crops, and the risks for the rural population were significantly higher than those of the urban population. The unacceptable dietary risks of thifluzamide should be continuously emphasized for children aged 2–7 with an ADI% values of 100.750 %–131.658 %. A probabilistic model was further introduced to evaluate the risk discrepancy of thifluzamide in buckwheat, showing the risks in Tartary buckwheat (Fagopyrum tararicum Gaerth) were 1.5–75.4 times than that in sweet buckwheat (Fagopyrum esculentum Moench). Despite the low risks for dietary buckwheat, the high-potential health hazards of thifluzamide should be pay more attention given the increasing applications and cumulative effects.

Abstract Supply‐demand coordination optimization of hydrogen‐based multi‐energy system provides an effective way to improve the overall energy utilization efficiency and mitigate the challenges of energy and environmental crisis for industrial park. However, the uncertainties of energy supply and demand and the time coupling caused by storage system bring great challenges for energy efficiency and feasibility of strategy. To address the supply‐demand coordination problem, a scenario‐based operation optimization model of hydrogen‐based multi‐energy system is formulated. In this model, grey hydrogen, green hydrogen, and renewable energy are coordinated. Furthermore, in order to formulate the hard constraints of the gas storage, the robust constraints with adjustable robust parameters are added to make a trade‐off between feasibility and economy of operation strategy. The robust constraints are non‐linear, time‐coupled, dynamic and infinite dimensional and bring high computational complexity. Thus, the analytical solutions of the worst case are developed under the polyhedral budget constraints to transform the model into a mixed integer linear programming which can be efficiently solved. Finally, numerical test based on a real case is analysed and the results show that supply‐demand coordination can reduce the energy cost about 11.29% and energy storage system can significantly improve the flexibility of system.

False data injection (FDI) is considered to be one of the most dangerous cyber-attacks in smart grids, as it may lead to energy theft from end users, false dispatch in the distribution process, and device breakdown during power generation. In this paper, a novel kind of FDI attack, named tolerable false data injection (TFDI), is constructed. Such attacks exploit the traditional detector’s tolerance of observation errors to bypass the traditional bad data detection. Then, a method based on extended distributed state estimation (EDSE) is proposed to detect TFDI in smart grids. The smart grid is decomposed into several subsystems, exploiting graph partition algorithms. Each subsystem is extended outward to include the adjacent buses and tie lines, and generate the extended subsystem. The Chi-squares test is applied to detect the false data in each extended subsystem. Through decomposition, the false data stands out distinctively from normal observation errors and the detection sensitivity is increased. Extensive TFDI attack cases are simulated in the Institute of Electrical and Electronics Engineers (IEEE) 14-, 39-, 118- and 300-bus systems. Simulation results show that the detection precision of the EDSE-based method is much higher than that of the traditional method, while the proposed method significantly reduces the associated computational costs.