Under the background of dual-carbon target and large-scale new energy access, most of the existing power system scheduling modes focus on the power source side, ignoring the potential of load-side interaction with the...
详细信息
ISBN:
(数字)9798350349030
ISBN:
(纸本)9798350349047
Under the background of dual-carbon target and large-scale new energy access, most of the existing power system scheduling modes focus on the power source side, ignoring the potential of load-side interaction with the grid for peak shifting. In order to promote two-way coordination and interaction on both sides of the source and load sides, and to guarantee the balance of power supply and demand on different time scales and the high level of new energy consumption, it is proposed to incorporate the representative electrolysis aluminum loads on the load side into the main body of the scheduling, and to optimize the dispatching of power supply and demand through the configuration of It is proposed that the representative electrolytic aluminum load on the load side should be included in the main body of dispatch, and by configuring battery energy storage devices on the load side, joint optimal dispatch with thermal power units containing carbon capture devices should be carried out. With the optimization objective of minimizing the operating cost of the power system, a joint day-ahead-intraday economic dispatch method is developed. Finally, simulation calculations are carried out with an example to show that the proposed peaking model can effectively guide the demand response of the aluminum loads, increase the rate of new energy consumption, and reduce the operating cost of the system at the same time.
Environmental pollution has drawn forth advanced materials and progressive techniques concentrating on sustainable development. Metal-organic frameworks (MOFs) have aroused vast interest resulting from their excellent...
详细信息
Environmental pollution has drawn forth advanced materials and progressive techniques concentrating on sustainable development. Metal-organic frameworks (MOFs) have aroused vast interest resulting from their excellent property in structure and function. Conversely, powdery MOFs in highly crystalline follow with fragility, poor processability and recoverability. Aerogels distinguished by the unique three-dimensional (3D) interconnected pore structures with high porosity and accessible surface area are promising carriers for MOFs. Given these, combining MOFs with aerogels at molecule level to obtain advanced composites is excepted to further enhance their performance with higher practicability. Herein, we focus on the latest studies on the [email protected] composites. The construction of [email protected] with different synthetic routes and drying methods are discussed. To explore the connection between structure and performance, pore structure engineering and quantitation of MOFs content are outlined. Furthermore, various types of [email protected] composites and their carbonized derivatives are reviewed, as well as the applications of [email protected] for environmental remediation referring to water purification and air clearing. More importantly, outlooks towards these emerging advanced composites have been presented from the perspective of practical application and future development.
作者:
Y L ZhangJ H QiL QinF WangM X PangCollege of Food Science and Engineering
Beijing Key Laboratory of Detection and Control of Spoilage Organisms and Pesticide Residue in Agricultural Products Beijing Laboratory of Food Quality and Safety Beijing University of Agriculture Beijing 102206 China Pig processing team
Modern agricultural industry technology system Beijing innovation team Beijing 100102 China College of Plant Science
Beijing University of Agriculture Beijing 102206 China
Anthraquinones (AQS) represent a group of secondary metallic products in plants. AQS are often naturally occurring in plants and microorganisms. In a previous study, we found that AQS were produced by enzymatic browni...
Anthraquinones (AQS) represent a group of secondary metallic products in plants. AQS are often naturally occurring in plants and microorganisms. In a previous study, we found that AQS were produced by enzymatic browning reaction in Chinese chestnut kernels. To find out whether non-enzymatic browning reaction in the kernels could produce AQS too, AQS were extracted from three groups of chestnut kernels: fresh kernels, non-enzymatic browned kernels, and browned kernels, and the contents of AQS were determined. High performance liquid chromatography (HPLC) and nuclear magnetic resonance (NMR) methods were used to identify two compounds of AQS, rehein(1) and emodin(2). AQS were barely exists in the fresh kernels, while both browned kernel groups sample contained a high amount of AQS. Thus, we comfirmed that AQS could be produced during both enzymatic and non-enzymatic browning process. Rhein and emodin were the main components of AQS in the browned kernels.
We compute the Ga63(p,γ)Ge64 and Ge64(p,γ)As65 thermonuclear reaction rates using the latest experimental input supplemented with theoretical nuclear spectroscopic information. The experimental input consists of the...
We compute the Ga63(p,γ)Ge64 and Ge64(p,γ)As65 thermonuclear reaction rates using the latest experimental input supplemented with theoretical nuclear spectroscopic information. The experimental input consists of the latest proton thresholds of Ge64 and As65 and the nuclear spectroscopic information of As65, whereas the theoretical nuclear spectroscopic information for Ge64 and As65 are deduced from the full pf-shell space configuration-interaction shell-model calculations with the GXPF1A Hamiltonian. Both thermonuclear reaction rates are determined with known uncertainties at the energies that correspond to the Gamow windows of the temperature regime relevant to type I x-ray bursts, covering the typical temperature range of the thermonuclear runaway of the GS 1826−24 periodic bursts and SAX J1808.4−3658 photospheric radius expansion bursts.
Integrated power generation group's participation in the carbon trading market and peaking auxiliary service market is one of the effective ways to promote low carbon power development and wind power consumption. ...
Integrated power generation group's participation in the carbon trading market and peaking auxiliary service market is one of the effective ways to promote low carbon power development and wind power consumption. Aiming at the serious problem of wind abandonment during the low temperature period of winter heating period in Northeast China, a multi-market mechanism is proposed. The carbon trading is analysed. Firstly, and the regional peak demand optimization model based on multi-scenario stochastic programming and the maximum wind power acceptance power calculation model of regional power grid is constructed to calculate the peak shaving demand and existing peak shaving in each period of the regional power grid. Maximum wind power acceptance under resources; Based on the coordination of carbon quotas among power generation groups and the subsection compensation mechanism of compensated peak shaving costs, and aiming at the minimum sum of total coal consumption costs, wind abandonment penalties and compensation costs, integrated dispatching model considering carbon trading and peak shaving compensation is established. Finally, an example is given to verify the rationality and effectiveness of the proposed strategy.
In order to solve the problem of large parameter identification error caused by nonlinear links of excitation system being triggered easily when transient stability is under fault state, an improved differential evolu...
In order to solve the problem of large parameter identification error caused by nonlinear links of excitation system being triggered easily when transient stability is under fault state, an improved differential evolution algorithm for system parameter identification is proposed by using the characteristic of artificial intelligence algorithm that the nonlinear link is approximated infinitely through optimization. The improvement of the algorithm solves the problems of slow convergence speed, poor fine optimization ability and easily to produce local optimum when classical artificial intelligence algorithm identifies the parameters of non-linear links. At the same time, in order to solve the problem of inaccurate parameters in the whole identification, a decomposition link identification strategy is proposed. The example analysis shows that the algorithm improves the convergence speed, avoids local optimum and improves the convergence accuracy. According to the proposed parameter identification strategy, the excitation system is decomposed and identified, which improves the accuracy of generator excitation system parameter identification, and provides an accurate model and method for power system stability analysis
In recent years, the installed capacity of wind power has been increasing, and the phenomenon of regional wind abandonment has become prominent. In order to improve the wind power accommodation, the domain definition ...
In recent years, the installed capacity of wind power has been increasing, and the phenomenon of regional wind abandonment has become prominent. In order to improve the wind power accommodation, the domain definition is introduced, which stipulates that the periods without wind abandonment and load shedding during normal output of thermal power units are normal domains, the periods without wind abandonment or load shedding when thermal power units exert depth adjustment are abnormal domains, and the periods with wind abandonment or load shedding during depth adjustment of thermal power units are emergency domains. Give full play to the depth adjustment of thermal power units in abnormal and emergency areas, improve the accommodation of clean energy, and realize the coordinated and optimized scheduling of multiple energy sources including electricity storage and heat storage systems. To accommodate clean energy, an economic dispatching model including the cost of thermal power, the cost and benefit of power storage and heat storage system is constructed, and the optimal value of the model is solved by calling CPLEX with Matlab. The scheduling results not only ensure the safety and reliability of the whole network operation but also maximize the consumption of wind energy and realize the optimal clean energy scheduling.
暂无评论