To further understand the interaction in copyrolysis of biomass and waste plastics, the pyrolysis characteristics of poplar wood(PW) and the effect of polypropylene (PP) addition on the product distribution and composition of PW and PP co pyrolysis were studied by thermogravimetric analysis and fixed bed reactor. The results showed that 500 °C is the optimal temperature for PW pyrolysis to obtain tar product, and the maximum tar yield is 31.2%. The experimental value of the maximum weight loss rate of copyrolysis is slightly greater than the theoretical value in the low temperature range, and the peak temperature of the DTG curve in the high temperature range shifts to higher temperature zone. Copyrolysis of PW and PP has a positive synergistic effect on the generation of gas products, increasing the low heating value of gas products. Copyrolysis has a negative synergistic effect on the generation of tar. However, the oxygencontaining compounds (phenols, acids, ketones and furans) in tar decrease, and olefin compounds increase significantly. In addition, the degree of graphitization of copyrolytic char becomes higher.

The wind turbine is developing towards largescale and intelligent, the loads of the turbine are increasing exponentially, which puts forward higher requirements for the dynamic design of the turbine components. In this paper takes the elastic support of wind turbine gearbox as the research object, and the dynamic model of entire wind turbine is established by using multibody multidynamics software, coupled with the calculation of aerodynamic load and the control program of wind turbine. The timefrequency characteristics of the dynamic response of the elastic support under uniform wind are calculated, and the influences of wind shear, tower shadow effect and nonlinear stiffness on the elastic support are compared and analyzed. Finally, the dynamic response of the elastic support of the wind turbine under the condition of turbulent wind are simulated. The results show that when the elastic support is damaged and only matches 50% of the stiffness, the response of the elastic support increases sharply, exceeding the vibration standard safety threshold by more than 4 times, which affects the safe and stable operation of the whole wind turbine.

This study proposes a coagulationdissolved air flotation and microwave drying processes based on biologic coagulant for harvesting cyanobacteria biomass, and a pilot system with a treatment capacity of 20 m³/h was developed. Continuous operation in Lake Tai demonstrated that the system achieved a harvesting efficiency of up to 95% for cyanobacterial biomass, with the moisture content of the biomass reduced to below 85% after dehydration. After 10 min of continuous microwave drying, the moisture content of the biomass was further reduced to below 10%, with no adverse effects on the main nutrients, such as proteins and sugars. Further technoeconomic and cost sensitivity analyses revealed that the total cost of harvesting and drying cyanobacterial biomass was 4 134.1 ¥/t dry biomass, with bioflocculant costs accounting for more than 50% of this total. The processing costs were found to be significantly influenced by the dosage and cost of bioflocculants, as well as the hourly microwave drying capacity.

The virtual synchronous generator (VSG) control is proposed to obtain inertial support in the inverter control design, but it will bring the problems of power oscillation. In order to improve the power regulation and operation status of system, this paper proposes a VSG power oscillation suppression strategy based on adaptive fuzzy sliding mode compensation. Firstly, the mathematical model of VSG is constructed, and the causes of VSG oscillation are analysed. Secondly, an adaptive fuzzy sliding mode compensation is designed by Lyapunov function to make its frequency and power angle converge quickly, so as to suppress the power oscillation, and its stability is proved. Finally, the simulation and experimental results show that the proposed VSG control strategy can significantly suppress the power oscillation during startup and power sag. The system overshoot is reduced and the response time is faster, so the system operation state is improved.

In this paper, a fault diagnosis strategy for photovoltaic modules based on IV curve inverse method is proposed. This strategy does not need to monitor the surface irradiance and average temperature of the solar cell in real time. After extracting the model parameters, the IV curve library under different irradiance and solar cell temperature is calculated. The open circuit voltage, short circuit current and maximum power point voltage and current of the photovoltaic module are measured during operation to determine whether the module is faulty. By building experimental equipment to simulate typical faults and using this method to judge, the results show that the method proposed in this paper can effectively monitor the faults of components. Using this method, a singleboard fault monitoring module is developed to realize online fault diagnosis of photovoltaic modules, which improves the accuracy of fault diagnosis of photovoltaic modules and the reliability and economy of photovoltaic power station operation.

In the current design process of offshore wind turbine monopile foundations, the shape of the local scour pit is usually ignored and directly simplified to the global scour, which leads to a conservative design of monopile foundations. A hyperbolic py curve for largediameter monopiles was adopted to construct the pilesoil interaction model. The concept of equivalent depth was introduced and modified to establish a simplified onedimensional monopile analysis model considering the shape of scour pit based on available centrifuge test data currently. The rationality of the proposed model is verified by comparison with the test results. Furthermore, several modified models were compared and analyzed, and the prediction effects of each model on the lateral response of monopile foundations subjected to local scour were discussed. The results of the study show that the local scour mainly leads to the reduction of the soil resistance along pile in the shallow range of seabed, so a reasonable correction of the py curve of shallow soil is the key to the analysis of lateral response for monopile subjected to scour. Because the existing models underestimate the effective vertical geostress of shallow soil after local scour, whose prediction results of lateral responses of monopile are closer to those of the global scour model.

In order to solve the activepower dynamic oscillation problem of parallel system for traditional energy storage virtual synchronous generator (VSG) and diesel generator set (DGS) under load disturbance, an active power dynamic oscillation suppression strategy for diesel storage microgrid based on activepower proportional differential feedforward VSG (APDFVSG) is proposed in this paper. Firstly, the small signal model of the parallel system for energy storage VSG and DGS is established, as well as the influences of virtual inertia, virtual damp and output impedance parameters of energy storage VSG on active power oscillation of the system are analyzed. On this basis, the active power dynamic oscillation suppression strategy based on ADPFVSG is proposed and the corresponding parameter design process is given. Finally, the MATLAB simulation model of the parallel system for energy storage VSG and DGS is established, and the simulation results are used to verify the effectiveness of the proposed APDFVSG control strategy in suppressing activepower dynamic oscillation of the dieselstoragemicrogrid.

Taking an agricultural single cylinder diesel engine as the research object, the soot emission characteristics of biodiesel blended fuel were tested under the conditions of EGR rates of 0, 15% and 30% , and the influence of EGR rate on the combustion particle structure characteristics of biodiesel blended fuel was explored. The results indicate that biodiesel blended fuel can alleviate the problem of increased soot emissions caused by the introduction of EGR, and the improvement effect is more significant under high EGR rate conditions. The diesel engine exhaust particle size range is mainly between 20 nm and 80 nm, mainly showing normal distribution. Under the same EGR rate conditions, the particle size formed by burning biodiesel blended fuel significantly decreases, and the degree of agglomeration between particles increases, the porosity of particles increases, and the thickness of the interface layer increases. By adopting EGR technology, the average particle size of the particle group increases, the degree of agglomeration increases, the porosity of the particles decreases, and the thickness of the interface layer increases. Mixing biodiesel and introducing EGR can both increase the roughness and irregularity of the formed particles.

New energy power stations, while balancing the promotion of consumption and active support of scenario demand configuration for energy storage, will face problems such as random and complex appearances in different scenarios, cross coupling in time series, long solving time of traditional multiobjective optimization algorithms, slow convergence speed, and susceptibility to getting stuck in local solutions. Based on this, this article proposes a new energy storage configuration method suitable for multiple scenarios in new energy power plants. Based on the output data of new energy power stations, daily power prediction data, grid frequency data, etc., typical operating condition curves of energy storage demand are extracted, and an energy storage optimization configuration model is constructed. An improved multiobjective particle swarm optimization algorithm is proposed to solve the optimal energy storage configuration of new energy power stations. Finally, simulation analysis was conducted on actual new energy power plants to verify the effectiveness and practicality of the method proposed in this paper.

With the deepening reform of the energy market, the important role of demand response resources in the lowcarbon operation of comprehensive energy systems is becoming increasingly prominent. This article proposes a new strategy for integrated energy systems that considers tiered carbon trading and bidirectional supply and demand responses. Firstly, a stepped carbon trading comprehensive energy system model with a reward and punishment mechanism was established, and based on this model, a bidirectional supply and demand response and compensation mechanism were further proposed. Secondly, an optimization scheduling model was constructed for the system, with the objective function of minimizing the sum of operating costs, demand response compensation costs, and carbon trading costs. Finally, apply the CPLEX toolbox to simulate and solve the optimized model. Through case analysis in different scenarios, this article explores the impact of supply and demand bidirectional response strategies and carbon trading mechanisms on system operation. The simulation results confirm the effectiveness and superiority of the proposed strategy.