Issue Ebookcover story
List of IssuesDocument Types
- Abstract：Continuous optimization of source, grid and load factors is needed to solve the renewable energy curtailment problem. This article focuse d on the decomposition algorithm of contribution to renewable energy accommodation under the combined effect of source-grid-load. From the point of view of the planning, development scenarios were established under different source-grid-load factors, based on production simulation. Source-grid-load contributions to renewable energy accommodation were calculated by sensitivity analysis method and Shapley value method, respectively. The sensitivity analysis calculate contribution by judgment factors according to a specific scenario. It is suitable to give a list of measures for an established stage of development. The Shapley value method is a comprehensive weighting for the contribution of all development scenarios. It is more suitable for examining the whole process of development from the present situation to the level of planning.Keywords：production simulation;renewable energy accommodation;contribution rate;Shapley value method41|187|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：Aiming at the uncertainty caused by largescale wind power grid-connected to system frequency modulation, a cloud model load frequency control strategy considering the uncertainty of wind power was proposed. Firstly, the wind power output was regarded as the disturbance signal, and the regional control deviation composed of the wind output power and the power deviation of the tie line was regarded as the input of the load frequency controller. According to the cloud model rule generator, the cloud PI load frequency controller with uncertainty mapping relationship was established. Taking the three-area interconnected power grid with wind power as an example, the simulation analysis of the measured data in a certain regional power grid showed that the established cloud PI controller can better track the fluctuations of the wind output power and has strong anti-interference. The method proposed not only satisfies the requirements of the frequency modulation for wind power connected to the grid, but also has better control effect than traditional PI controller.Keywords：wind power connected to grid;load frequency;control;cloud model;uncertainty41|184|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：The maximum power load is an important part of power enterprise dispatching work. The accuracy of its prediction results will have an important impact on the distribution of power, the effective utilization rate of power, the quality of power supply service and the development of power system. Based on the 81-day maximum power load data of a city in Anhui province, 10 factors influencing the maximum power load of that day were selected, and the influencing factors reduced from 10 dimensions to 5 dimensions by kernel principal component analysis(KPCA). The cumulative contribution rate can reach 93.70%. The best parameters of SVM regression were selected by cross validation. 54 groups of data were randomly selected to train SVM prediction model. Finally, 27 groups of data were fitted and predicted. The mean square error of fitting prediction was 0.004 1, and the correlation coefficient was 0.963 1. The results show that the KPCA combining the SVM prediction model for maximum power load has good prediction ability.Keywords：power system;load;kernel principal component analysis (KPCA);support vector machine(SVM);prediction model46|273|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：Multi-objective stable operation of microgrid under grid-connected condition is the basic requirement of microgrid operation and construction. Starting from the economic and environmental goals of grid-connected microgrid, a multi-objective optimization model of microgrid was established. The economic objectives considered the fuel cost, operating and maintenance cost, start-stop cost of distributed generation and energy interaction cost between microgrid and large grid. The environmental target considered emissions of polluted gases. A scheduling strategy of energy storage device based on multi-agent system (MAS) under time-of-use price mechanism was proposed, and an improved NSGA-Ⅱ algorithm was used to optimize the output of the controllable micropower supply and energy storage device. Taking the microgrid unit in a certain area as an example, the effectiveness of the proposed model and the solution method were verified. The experimental results show that the improved NSGA-Ⅱ algorithm has better performance, and the proposed strategy can control the number of charges and discharges in a cycle of energy storage device and prolong its service life.Keywords：microgrid;multi-agent system (MAS);optimized scheduling;time-of-use price;improved NSGA-Ⅱ algorithm43|464|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：In order to solve the problems of electric vehicles power exchange station such as long construction period, low-efficiency and potential safety hazard etc., this paper proposed a design mentality and scheme of intensive power exchange facility. By reasonably transforming of container and integration of battery buffer, auto pick-and-place, charge control and safety protection systems, the intensive power exchange facility is constituted with automatization of battery pick-and-place, equalizing charge and auto protection function. The function and design scheme of every systems was demonstrated detailly. The practice proves that this facility can improve land utilization, reduce the building costs, improve power battery exchange efficiency and service quality, achieve design objective and possess high market potential.Keywords：electric vehicle;module integration;power exchange facility;power battery60|311|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：Due to the lack of a unified data management platform, the data application and management work of the development department has many problems, such as heavy workload, high repeatability and poor consistency. In order to improve the level of business informatization in distribution network development and standardize data management for business development, the definition and characteristics of block chain and the application of routine business, data management and information system of the development department were introduced. According to the requirements of business results, such as power grid planning, power grid diagnosis and analysis, project post-evaluation, this paper carried out date demand analysis, built the distribution network data platform to support the power supply company to develop business needs. At the same time, this paper integrated the concept of block chain, constructed data management framework, management process, management mechanism and management guarantee, formulated the accounting, storage, consensus and incentive mechanism of distribution network data pool, which provided support for promoting the implementation and application of distribution network data pool.Keywords：block chain;distribution system;development business;distribution network data pool36|203|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：At present, the single-phase grounding fault line selection problem of small current grounding system has not been completely solved. In order to improve the success rate of single-phase grounding fault line selection, a new method based on deep learning network was proposed. Firstly, the simulation model of neutral un-grounded system was built by PSCAD. By setting the fault of each line under different grounding resistors, the sample data based on the zero sequence current value and phase angle of each line was obtained out. The sample data was divided into three parts:training set, verification set, and test set. Secondly, a deep learning neural network was constructed based on Keras, and the network was trained using the training set and validation set. Finally, the trained model was tested The results show that the method has the characteristics of simple modeling, high success rate and no influence of transition resistance.Keywords：small current grounding system;singlephase grounding fault;fault line selection;deep learning86|203|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
Energy Internet
- Abstract：According to the basic principle of the irreversible thermodynamic cycle value, the irreversible process of the thermodynamic cycle system was analyzed. The concept of "equivalent Carnot cycle efficiency" was proposed, and the classical thermodynamic theory and analysis method were expanded. At the same time, the design concept of "Cano consumption heat sink" and "power island" for supercritical parameters coal-fired power generation thermodynamic cycle unit was proposed, and the design principle of supply and demand integration, mass coupling and energy level utilization, and evaluation method of efficacy value were further given. These provide a more effective new approach for optimized designs of ultra-high-parameter coal-fired power generation thermodynamic cycle units.Keywords：ultra-supercritical parameters;coal-fired power generation technology;irreversible thermodynamic cycle;efficacy value principle;power island design method68|300|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：The emission of non-conventional pollutants such as SO3 in the flue gas of coal-fired power plants has not been effectively controlled. Its hazards mainly include low-temperature corrosion, equipment blockage and environmental pollution, which mainly come from the combustion of coal. The content of Sar in 200 kinds of coal in China was statistically analyzed, the range is 0.11%-3.47%, the average value is 0.82%. The SO3 sampling methods mainly include control condensation and isopropanol absorption method. The combination of the two methods can significantly improve the capture rate of SO3 and the accuracy of test data. Based on field measurement and literature survey, the SO3 emission characteristics of existing coal-fired power plants were characterized, which can provide reference for future control of SO3 emission for coal-fired power plants.Keywords：coal-fired power plant;SO3 emission;ultra-low emission;test method72|214|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：At present, the selective catalytic reduction (SCR) flue gas denitrification system in thermal power plants in China has many shortcomings, such as long reaction time, poor control lag and poor linearity of valve, the concentration of nitrogen oxides at SCR outlet fluctuates greatly, which seriously affects the operation of SCR flue gas denitrification system in thermal power plants. In order to solve the above problems, based on the operation status of the SCR denitration system of the power plant, based on the actual control system of the field engineering, combined with the relevant SCR denitration system control theory, by collecting the historical data of the site, on the basis of keeping the actual control algorithm on site unchanged, the intelligent identification method was used to establish the mathematical model of the SCR denitration system, and the engineering human-like intelligent algorithm was used to realize the optimal operation of the SCR denitration system.Keywords：thermal power plant;nitrogen oxide;denitrification efficiency;modelling;simulation;optimization41|166|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：The turbine rotor is one of the most fragile components of the power plant, whose life is equal to the life of the unit. The rotor is subjected to the maximum equivalent stress during the process of start-up or shutdown, so it is particularly important to grasp the life of the unit under different starting modes. A power plant was taken as an example to build three-dimensional model, mesh, and analyzed temperature field and stress field of the unit under the forward warming and backward warming ways, and the life of the unit was finally evaluated. The life loss of the unit under two starting modes was obtained and the advantages and disadvantages of the two starting modes were compared to provide reasonable suggestions for selecting suitable starting mode for different units.Keywords：turbine rotor;starting modes;simulation;life assessment25|143|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
Power Generation and Environmental Protection
- Abstract：The state of energy(SoE) operation region of energy storage lithium battery module was studied in order to improve the control precision and ensure the efficient and stable operation of the battery energy storage system. Base on the analysis of the simulated operating condition of tracking power generation schedule and wind-PV power stabilization, as well as the evaluation indicators, such as range and coefficient of standard deviation of battery voltage, the evaluation method of the SoE operation region for the energy storage lithium battery module was put forward. The actual energy storage lithium battery module was tested in the simulation experiment of tracking power generation schedule and wind-PV power stabilization. The SOE operation range of the lithium battery module under the two operating conditions was determined by analyzing the variation of the battery voltage range and the standard deviation coefficient of the battery voltage. The result show that the SoE operation region of the energy storage lithium battery module can be confirmed effectively according to the range and coefficient of standard deviation of battery voltage in the simulated operation experiment. It provides technical means for the energy utilization improvement of energy storage unit, and it has guiding significance to ensure the lithium BESS running efficiency and stability.Keywords：energy storage;lithium battery module;state of energy;tracking power generation schedule;wind-PV power stabilization;range of battery voltage;coefficient of standard deviation of battery voltage27|127|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：Microbial fuel cell (MFC) is a new type of electricity-generating device that uses biomass-producing microorganisms to convert biomass energy into electrical energy through bioelectrochemical reactions, while degrading organic matter in sewage. Although MFC has good dual effects in solving energy and environmental problems, the high cost and low output power make it difficult to quantify, which is a major obstacle to its large-scale development. In the MFC system, the cathode electrode is one of the key factors influencing these problems. There are three kinds of cathode materials:electrolyte cathode, bio-cathode and air cathode. This paper mainly summarized the current research progress on air cathode diffusion layer and catalytic layer at home and abroad, the main problems that its development are currently facing and the future development direction.Keywords：microbial fuel cell(MFC);air cathode;diffusion layer;catalytic layer78|316|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
Energy Storage and Distributed Generation
- Abstract：The crack tip temperature field of blade with micro-defect based on the thermo-mechanical was studied. The microstructure damage mode of specimen fracture was proposed. The numerical model of the crack tip temperature field was established by the plastic zone and the internal heat flux density function. The plastic zone boundary model of Ⅰ/Ⅱ crack propagation with micro-defects wind turbine blade was deduced by crack tip stress of orthotropic composite and Tsai-Wu failure criterion. The heat flux density function of crack tip temperature field was constructed by crack propagation law. The fracture failure microstructure of the blade specimen was examined by scanning electron microscopy(SEM). The surface temperature of wind blade specimen with micro-defect by infrared thermography was monitored. The surface temperature of specimen was consistent with numerica l result of crack tip temperature field. The power of heat flux density function is 2. It was found that the damage modes of blade specimen with bubble defects were fiber fracture, matrix cracking.Keywords：wind turbine blades;infrared thermography;heat dissipation;crack tip temperature field;microstructure;damage;bubble defect;heat flux density function35|292|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
New and Renewable Energy
