Research on multi-timescale operation optimization of a distributed electro-hydrogen coupling system considering grid interaction

Against the backdrop of increasingly prominent environmental issues, new energy consumption issues, and energy supply and demand balance issues, the optimization of multi time scale operation of distributed electro hydrogen coupling systems has become a research focus. Based on this, this article optimizes the multi time scale operation of a distributed electric hydrogen coupling system that takes into account grid interaction. By designing a system framework for distributed electro hydrogen coupling systems, operational strategies for each system were proposed. Analyzed the uncertainty and response characteristics of wind and solar power generation units and load demand, and constructed a multiple uncertainty model for distributed electric hydrogen coupling system. At the same time, a three stage, multi time scale operation optimization model of the electric hydrogen coupling system was constructed based on the response characteristics of the distributed electric hydrogen coupling system. The construction of these models reduced scheduling costs by 12.55% and increased clean energy consumption rate by 13.50%

Research on two-stage allocation optimization technology of power grid operation and maintenance cost input considering asset scale status and efficiency fairness

The current complex internal and external situation puts forward higher requirements for the precise investment of funds for power grid companies. This paper proposes a two-stage operation and maintenance cost input optimization allocation technology based on comprehensive evaluation and Gini coefficient adjustment. This technology firstly identifies the influencing factors of operation and maintenance cost input, and combines the result of factor identification to construct an evaluation index system based on asset status and scale attributes. Through comprehensive evaluation and collection of index-related data, it determines the initial distribution coefficients and initial distribution coefficients of related enterprises based on the entropy weight method. Then combined with the principle of Gini coefficient, optimize the initial allocation plan to obtain the final investment allocation quota. This paper conducts empirical analysis with 10 companies as the research object, and the results show that the model can provide theoretical support and method reference for reasonable investment and reasonable decision-making of operation and maintenance costs of power grid companies under the requirements of precise investment management and control

Research on Evaluation and Optimization Methods of Power Grid Investment Projects Based on Effectiveness Contribution

Facing the current complex operation and management situation, power grid companies must improve the level of precision investment and improve the efficiency of project input and output. Based on the different goals of project investment, this paper uses comprehensive benefit evaluation methods to carry out micro-investment demand analysis from the project dimension, builds a quantitative evaluation index system for comprehensive benefits of power grid projects based on effectiveness contribution evaluation, and combines the analytic hierarchy process and entropy weight method to determine the index weights. Analyze the contribution degree of each project to the power grid after it is put into production through indicators, and realize the priority ranking of power grid investment projects according to the comprehensive benefit evaluation score of the project. The research results can provide reference and reference for improving the output efficiency of power grid investment projects

Emerging Mutual Regulatory Roles between m⁶A Modification and microRNAs

N6-metyladenosine (m6A), one of the most common RNA methylation modifications in mammals, has attracted extensive attentions owing to its regulatory roles in a variety of physiological and pathological processes. As a reversible epigenetic modification on RNAs, m6A is dynamically mediated by the functional interplay among the regulatory proteins of methyltransferases, demethylases and methyl-binding proteins. In recent years, it has become increasingly clear that m6A modification is associated with the production and function of microRNAs (miRNAs). In this review, we summarize the specific kinds of m6A modification methyltransferases, demethylases and methyl-binding proteins. In particular, we focus on describing the roles of m6A modification and its regulatory proteins in the production and function of miRNAs in a variety of pathological and physiological processes. More importantly, we further discuss the mediating mechanisms of miRNAs in m6A modification and its regulatory proteins during the occurrence and development of various diseases

Spatial and Temporal Variability of Soil Moisture and Its Driving Factors in the Northern Agricultural Regions of China

Soil moisture, as an important variable affecting water–heat exchange between land and atmosphere, is an important feedback to climate change. Soil moisture is of great concern in Northern China, where arable land is extensive, but water resources are distributed unevenly and extremely sensitive to climate change. Using measured soil moisture data collected by the China Meteorological Administration from 164 stations during 1980–2021, we explored the drivers of soil moisture variation by analyzing its spatiotemporal variability using linear regression, partial correlation analysis, and geostatistical methods. The results indicated that (1) soil moisture increased from northwest to southeast in Northern China, with the lowest soil moisture in the IM; (2) the overall trend of soil moisture in most regions decreased, especially in the arid northwest and northeast China. However, soil moisture in some regions began to increase gradually in recent years, such as in northwestern Xinjiang and the central-eastern part of IM; and (3) soil moisture in the whole region was negatively correlated with temperature and sunshine duration and positively correlated with precipitation and relative humidity. The results of the study can provide valuable guidance for timely agricultural irrigation and the adjustment of cropping structures, thereby ensuring agricultural production and food security

LiGaGe₂S₆: A Chalcogenide with Good Infrared Nonlinear Optical Performance and Low Melting Point

In this work, we design and synthesize a new chalcogenide LiGaGe₂S₆ on the basis of known infrared (IR) material LiGaS₂ by partially substituting Ga with Ge. This compound possesses very strong nonlinear (NLO) response (2.5 × LiGaS₂) and large band gap (3.52 eV), manifesting a better balance between band gap and NLO response compared with that for LiGaS₂. Moreover, LiGaGe₂S₆ exhibits a much lower melting point (663 °C) than that of LiGaS₂ (1050 °C). This would result in the much smaller vapor pressure of sulfur in the fused quartz vessels used for the crystal growth, and thus, it should be greatly beneficial to obtain the large stoichiometric LiGaGe₂S₆ single crystal. Our studies demonstrate that LiGaGe₂S₆ is a good candidate material for IR NLO applications