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- Abstract：Block chain, as the popular tuyere technology at present, is one of the most suitable technological means to get through physical entities, virtual data and value level. Its core is to realize reliable reconstruction and transfer of value by means of distributed consensus mechanism. The technological principle and value characteristics of the block chain coincide with the intrinsic demands and the multi-agent application scenari of intelligent energy. Based on the technical characteristics of block chains, the applicability of block chains in intelligent energy system was analyzed, and the specific technology selection and architecture design scheme were put forward to promote the development of energy block chains technology in the field of intelligent energy and energy internet.Keywords：block chain;smart energy;information communications technology(ICT)36|220|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：Concentrated solar power generation technology is one of the most important approach of the solar thermal utilization due to its stability, controllability and high capacity. The photon-thermal conversion efficiency of the solar concentrator is the main factor that influence the power generation capacity and the photon-electric conversion efficiency of the concentrated solar thermal power station. In this paper, the recent key technologies of improving the optical-thermal conversion performance of the solar concentrators were summarized via three aspects, including optical structures, receiver structures and heat transfer fluid. The advanced optimization strategy and the performance improvements of the concentrators, as well as the limitation, were presented. On the basis referred, the perspective of the solar concentrator technologies was analyzed.Keywords：concentrated solar power generation;solar concentrator;irradiative flux distribution;heat transfer fluid;nanoparticle73|419|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：Wind power generation process has strong randomness, which leads to low accuracy of wind power prediction. In view of the above phenomenon, a wind power generation power prediction method based on deep learning algorithm was proposed. Taking the historical wind power data as input, a wind power prediction model was established to realize the wind power prediction on a time scale in the future. The results of the example show that compared with the traditional time-series prediction method, the average absolute error of the wind power prediction results based on long short-term memory neural network is smaller in each index, which verifies the feasibility and effectiveness of the above method in wind power generation prediction, and improves the accuracy of wind power generation prediction.Keywords：deep learning;time-series prediction;wind power generation;long short-term memory (LSTM) neural network25|89|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：Aiming at the problem that sub-synchronous oscillation (SSO) is observed in doubly-fed induction generators (DFIG) connected to series-compensated transmission system, the DFIG with control strategy of voltage virtual synchronous generator (VSG) was taken as research object. Firstly, its impedance model based on three-phase stationary coordinate system was built, and the positive and negative sequence impedance analytical formulas of DFIG were deduced. Then, the impedance model of the DFIG was built on PSCAD/EMTDC platform, and the results of theoretical derivation and frequency scanning were verified by comparison. Finally, the SSO characteristics of DFIG connected to series-compensated transmission system with control strategy of VSG was analyzed quantitatively based on Nyquist stability criterion. The correctness of the established model and stability analysis conclusion was verified by simulation. The study results provide reference for suppression of SSO.Keywords：doubly-fed induction generators (DFIG);virtual synchronous generator (VSG);control strategy;sub-synchronous oscillation (SSO);impedance modelling47|421|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
New and Renewable Energy
- Abstract：As an important type of load-side resources, the distributed generation (DG) is widely used in smart buildings to provide new possibilities for rapid power supply recovery and load transfer after extreme disasters. This paper proposed a comprehensive evaluation framework for the smart building load restoration, which is used to quantitatively analyze and calculate the transfer capacity of the DG supply at the end of the smart buildings to the critical load in the distribution system after extreme disaster.On the basis of modeling different types of physical equipment in smart buildings, the multi-energy complementary and energy coupling characteristics were considered. Firstly, three quantitative evaluation indexes including electric power transfer amount, heat transfer amount and cooling transfer amount were proposed. The contribution of smart building power to system load recovery after extreme disasters was accurately quantified. On this basis, the specific calculation method for the above evaluation indicators was further proposed via using the random mixed integer programming method. Finally, taking the load of an industrial park as an example, the validity of the evaluation framework proposed was verified. The simulation results demonstrate that the proposed method can fully explore the energy supply potential of smart buildings with ensuring the normal operation of smart buildings, and effectively improve the reliability of power distribution systems under extreme disasters.Keywords：smart buildings;distributed generation;redundancy support;power grid resilience;energy supply reliability30|520|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：Currently, there are few research on the influence of human reliability upon the reliability of integrated substation automation system (ISAS). This paper proposed a risk assessment method of ISAS considering human reliability. First, according to the operators work condition, estimate the human error probability based on analytic hierarchy process-smart substation automation system to correct the failure probability of physical devices. Then, adopt the function decomposition based method to assess the failure risk of functions. Finally, obtain the failure risk of ISAS by mixing the function risks to characterize the reliability of ISAS and offer guidance to dispatching department. The big impact of human reliability on the ISAS risk is demonstrated in case study, which means considering human reliability is more objective than the traditional method.Keywords：substation automation system;smart substation;human reliability34|194|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：Nowadays, China is steadily promoting the reform of the electricity market. Direct power purchase by large consumers, which has the characteristics of large participation of renewable energy and huge trading power, has a very important impact on the stability of the power system. Therefore, it is necessary to carry out an effective risk assessment method on the bilateral user transactions of supply and demand side, and to reasonably control the risk factors that have greater risk. Direct power purchase by large consumers involve both sides of supply and demand and many possible risk factors. The risk assessment index system was constructed from five aspects and the corresponding 17 second-level evaluation indexes were established as analytic hierarchy process (AHP) method to evaluate the risk. In addition, after rating the risk factors, the weights were determined and the consistency was verified. The results show that AHP can balance the subjective and objective factors and determine the relative weight of each evaluation index. It can also calculate the subordination degree of risk index to each level of risk level and achieve the combination of qualitative and quantitative analysis so that the result of risk assessment is more scientific and accurate.Keywords：direct power purchase;risk assessment;analytic hierarchy process (AHP)32|145|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：Aiming at the problems of limited selection range of voltage vector and low accuracy of current tracking in the classical model predictive current control algorithm, an improved model predictive voltage control algorithm was proposed. The better voltage vector was obtained by rolling optimization, and using Ts/2 for the better voltage vector and Ts/2 for zero vector to achieve the half amplitude vector. The optimal voltage vector was chosen according to the evaluation function of the two vectors. Adding only one voltage vector per period could effectively reduce the error between predicted voltage vector and actual voltage vector, realized the accurate tracking of harmonic current, and improved the compensation performance of active power filter. Simulation results showed the proposed improved model predictive voltage control algorithm is more accurate than the classical model predictive current control algorithm in tracking the reference current. After compensation, the harmonic content in the grid-connected current decreases from 4.86% to 3.32%, and the grid-connected unit power factor can be achieved under both steady-state and dynamic conditions.Keywords：model predictive control;active power filter;current harmonics;optimal voltage vector24|319|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：The power supply of oil drilling rig has drawn more and more attention with its prosperous development. In order to improve the power supply reliability of oil drilling rig, the PV/storage/diesel system was adopted to replace that of single diesel generator. Firstly, the power supply topology of oil drilling rig was established, and the corresponding units were modelled. In addition, the economic model of PV/storage/diesel system was constructed. The constraints of energy storage state of charge (SOC), storage power and diesel generator power were considered to realize the economic operation of the system. Finally, an example was given to analyze the effectiveness of the operation control strategy. The research results can provide a reference for the power supply mode of oil drilling rig.Keywords：oil drilling rig;PV/storage/diesel power supply system;operation control strategy33|310|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
Energy Internet
- Abstract：To solve the problem of low reheat steam temperature after low NOx retrofit in a 330 MW coal-fired boiler, the countermeasure study was conducted based on combustion adjustment strategies. The effects of burner angle, air distribution mode, burner layer distribution, coal type of upper layer, coal fineness of upper layer, ash blowing of horizontal flue, and automatic control quality on reheat steam temperature were analyzed. The results indicate that the low reheat steam temperature mainly occurs at medium-low load (lower than 250 MW). Increasing burner angle, using inverted tower air distribution, increasing utilization rate of upper burner, improving coal calorific of upper layer, decreasing coal fineness of upper layer, strengthening ash blowing of horizontal flue and optimizing automatic control quality are conducive to improving the reheat steam temperature. The proposed combustion adjustment strategies provide important reference for the similar problem in boiler retrofit.Keywords：coal-fired boiler;low NOx retrofit;reheat steam temperature;combustion adjustment31|275|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：In order to convert CO2 more efficiently, many scholars have carried out research on various CO2 conversion methods. Dielectric barrier discharge (DBD) is one of the important methods of CO2 conversion and utilization, it can reduce CO2 under the condition of low temperature and normal pressure. In order to design a better DBD reactor, reaction conditions and catalysts, this paper summarized the researches on CO2 conversion based on DBD in recent years. The effects of process parameters, diluting gases and catalysts on CO2 conversion and energy efficiency in different studies were analyzed. It was found that the catalyst can greatly improve the efficiency of CO2 conversion by DBD, and introduced some commonly used catalysts in DBD. Finally, the possible development trend of CO2 conversion by DBD was briefly analyzed.Keywords：dielectric barrier discharge (DBD);CO2 conversion;plasma;catalyst69|235|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：The generator leading phase operation is an operation mode in which the generator adjusts the excitation to make the generator under-excited and maintains reactive power from the system while maintaining the normal active output. The leading phase depth is generally affected by the static stability limit of the generator, the stator end member heating and other factors. Based on the analysis of generator leading phase operation characteristics, power angle change and leading phase operation limit factors, a 600MW generator in a thermal power plant was taken as an example to analyse and record the electrical angle of the generator, stator voltage, factory voltage, the real-time data and changes of the temperature rise of the generator end in the leading phase test. The leading phase running depth of the generator and its limiting factors was verified, and the regulation performance and stability of the automatic excitation regulator in the leading phase operation was tested. It provided data support for the follow-up leading phase operation of the generator set. The proposed improvement strategy can effectively improve the leading phase operation capacity of the generator set.Keywords：turburbine generator;leading phase capability;test verification;improvement strategy106|546|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：Based on the enthalpy difference theory and the characteristics of the mechanical draft cooling tower, a mathematical method of the cooling tower performance was derived to analyze the influence of operating parameters on tower outlet water temperature. The results show that the influence of atmospheric pressure and dry-bulb temperature on the tower outlet water temperature is negligible. The wet-bulb temperature is the main environmental factor affecting the cooling tower performance. Cooling water flowrate, condenser heat load, failure cooling area and ventilation resistance all have a positive correlation with tower outlet water temperature. While the air flowrate of the fan increases, the tower outlet water temperature will decrease. The above conclusions will help to accurately predict the changing trend of tower outlet water temperature under variable operating conditions, and provide guidance for the adjustment of cooling tower operation under variable conditions.Keywords：cooling tower;cooling performance;tower outlet water temperature;variable operating condition;mathematical model34|292|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：In December 2017, China formally issued the National Carbon Emissions Trading Market Construction Plan (Power Generation Industry), and the power generation enterprises took the lead in developing the national carbon emission trading. Carbon trading price will significantly affect the total fuel cost of power generation enterprises. Based on the analysis of the current situation of the main domestic carbon emission trading market, the calculation of carbon emission of coal-fired power generation enterprises and the analysis of the change of the existing coal trading price, this paper discussed the typical coal closing price model, and established the main coal closing price model of coal-fired power generation enterprises under the constraints of carbon emission trading. Carbon trading cost accounts for about 20% of fuel cost. The new model accounts the demand of carbon trading comprehensively, and provides a new accounting method for coal-fired power generation enterprises to improve their fuel procurement strategy and resist the risk of carbon trading.Keywords：carbon emission;price model;power generation enterprise34|175|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
- Abstract：Pressure switch is an important primary signal element in thermal power unit protection system. The accuracy, reliability and rapidity of the pressure switch measurement directly determine the correct and fast operation of the power plant protection system. Aiming at the shortcomings of mechanical pressure switch and pressure transmitters as protection elements, this paper designsed a two-wire intelligent digital display pressure switch with low power consumption and high reliability according to the design principles of protection, regulation and monitoring. The reliability design and test of the intelligent pressure switch was carried out. The test results show that the pressure switch can effectively solve the problems of jamming, offset, non-monitoring and non-prediction existing in the traditional pressure switch, and has obvious advantages of low power consumption, high reliability, high precision and calibration-free, which provides a fundamental and effective guarantee for the reliability of the power plant protection system.Keywords：intelligent pressure switch;low power consumption;high reliability;no drift33|337|0<HTML><L-PDF> <Meta-XML>Updated：2025-06-06
Power Generation and Environmental Protection
