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第35届中国控制会议

作者： HOU Jie GUO Junlin LIU Jizhen State Key laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University School of Control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781509009107

The use of renewable energy sources,such as wind power,is of major importance in future power grids for economic and environmental reasons,while the intermittent and stochastic nature of such energy brings challenges to system *** of the virtual power plant(VPP) concept is one of the promising ways to improve utilization of renewable *** the many issues of practically using VPP,the aggregated output characteristics of a set of generators have not been well studied *** this paper,a two-phase economic dispatch model considering the aggregated VPPs is presented for wind-thermal power *** phase 1,outputs of VPPs consisting of several wind and thermal generators are decided by the grid operator,with characteristics of such VPPs obtained by aggregating those of individual *** in phase 2,an output dispatch is performed among individual generators within each VPP by its *** model of the above two phases are both solved by using linear programming methods,and numerical tests are performed on a 3-bus system by using *** show that compared with conventional economic dispatch models,our model leads to substantial improvements in wind power utilization,and lower generator costs.

关键词： Virtual Power Plants economic dispatch wind utilization renewable energy power system

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Short-term nodal load forecasting method considering redundant information

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IOP Conference Series: Materials Science and Engineering 2018年第1期366卷

作者： Si Yang Long Zhao Xueshan Han Yong Wang Wenbo Li Donglei Sun Junxiong Wang Economic & Technology Research Institute of State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Research Institute Jinan China

The most existing short-term nodal load forecasting methods only focused on the application of separate historical data, ignoring the abundant redundant information in power system. In this paper a new nodal load forecasting method considered physical redundancy and measurement redundancy was proposed. Firstly, the effect of redundant information on short-term nodal load forecasting was analysed and the forecasting principle was given. Secondly, in order to form additional state variable measurement equations, two kinds of existing redundant information between state variable and measured values were analysed deeply. Then based on the forecasting principle and the analysis results, the forecasting model mainly imitated the form of state estimation was established and the specific forecasting process was given. Case studies demonstrated that compared with traditional support vector machine model, the proposed method could effectively decrease forecasting errors and improve forecasting results.

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A regenerative braking control strategy for electric vehicle with four in-wheel motors

A regenerative braking control strategy for electric vehicle...

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第35届中国控制会议

作者： Wei Xu Haiyan Zhao Bingtao Ren Hong Chen Jilin University Department of Control Science and Engineering State Key Laboratory of Automotive Simulation and Control

ISBN: (纸本)9781509009107

Regenerative braking control technology of electric vehicle plays a vital role in automotive energy-saving and environmental ***,there are two important aspects included in regenerative braking *** and foremost is to maintain the vehicle safety during the braking process,and secondly is to maximize the energy recovery and minimize the energy consumption as far as *** paper proposes a regenerative braking control strategy to meet the above two *** this research,the electric vehicle is assumed to keep straight line driving with a ***,according to the desired braking torques of the driver during braking process,the brake torque on front and rear axle respectively are allocated based on the tire load ratio,which makes sure that maximizing the use of tire adhesion during ***,in order to deal with multi-objections and constraints for maximizing the energy recovery and minimizing the energy consumption,an model predictive controller is designed to distribute the brake torque between the hydraulic brake mode and the electric motor brake *** the end,the effectiveness of the proposed strategy is verified through the simulations of the electric vehicle model with four individually driven in-wheel motors based on Matlab/Simulink and AMESim software.

关键词： electric vehicle regenerative braking model predictive control optimal control

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The performance of a combined nitritation–anammox reactor treating anaerobic digestion supernatant under various C/N ratios

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Journal of Environmental Sciences 2015年第4期27卷 207-214页

作者： Jian Zhao Jiane Zuo Jia Lin Peng Li State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University

A combined nitritation–anammox reactor was developed to treat the digestion supernatant under various C/N ratios. Due to the difficulties for heterotroph to utilize the refractory organics, the reactor presented relatively stable performance with increasing supernatant addition. Nevertheless, the adverse effects of supernatant would accumulate during the long-term operation and thus weakened the activity and shock resistance of microbes,which further led to the gradual decrease of reactor performance after 92 days＇ *** this circumstance, supernatant with volatile fatty acids（VFAs） residuals was further introduced into the reactor to investigate the performance of combined nitritation–anammox process with VFA addition. With the appearance of VFAs, the nitrogen removal performance gradually restored and the reactor finally achieved stable and efficient performance with C/N ratio of 0.35. The VFA residuals within 150 mg/L in the supernatant served as the extra electron donors and stimulated the heterotrophic denitrification process, which was vital for the enhancement of reactor. The nitrogen removal rate and total nitrogen removal efficiency reached 0.49 kg N/（m^3·day） and 88.8% after 140 days＇ operation, respectively. The combined nitritation–anammox reactor was proved suitable to treat digestion supernatant.

关键词： Combined nitritation–anammox Anaerobic digestion supernatant C/N ratios Volatile fatty acids

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Research on crawling conditions for an AMT vehicle based on the fuzzy control method

Research on crawling conditions for an AMT vehicle based on ...

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IEEE International Conference on Mechatronics and Automation

作者： Hongkun Zhang Wenjun Li Fugen Hua State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China

ISBN: (纸本)9781509023974

Crawling conditions control for an Automatic Mechanical Transmissions (AMT) Vehicle is described in this paper, an AMT vehicle dynamic model and related control system simulation model based on Matlab / Simulink is built and the fuzzy controller is designed to realize the vehicle crawling control. The vehicle crawling speed can adapt to the driver's driving intent as well as the load changes. The simulation results show that the fuzzy control method which is applied to the crawling control on the AMT vehicles is rational and feasible.

关键词： Vehicles Mathematical model Engines Niobium Torque Friction Fuzzy control

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Rotation Speed Recovery Strategy Based On Variable Power Curve of Inertia control from DFIG Wind Turbine

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IOP Conference Series: Earth and Environmental Science 2018年第1期192卷

作者： R Liu P Song X S Wang Z W Lin State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing 102206 PR China State Grid Jibei Electric Power Research Institute North China Electric Power Research Institute Co. Ltd. Beijing 100045 China Grid-connected Operation Technology for Wind-Solar Storage Hybrid System State Grid Corporation Key Laboratory Beijng 100045 China

With the increase of wind power capacity incorporated into the grid, the permeability of wind power increases continuously, which leads to the reduction of the equivalent inertia of the system. A new strategy of recovering rotor speed that increases the output power by modifying the variable power curve is proposed in this paper, which decreases the drop of the active power. So as to reduce the secondary frequency dips caused by the sudden drop of the active power when the speed restores. The paper optimizes the secondary frequency dips by modifying the variable power curve continuously. This article simulates this strategy through setting up a system by Simulink. Compared with the traditional recovery strategy, validity of the proposed strategy is demonstrated through simulation and analysis.

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Rotation Speed Recovery Strategy Based On Particle Swarm Optimization for Variable Power Curve Optimization

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IOP Conference Series: Materials Science and Engineering 2018年第3期439卷

作者： Rui Liu Peng Song Xiaosheng Wang Yang Cui Zhongwei Lin State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing 102206 PR China phone: *** State Grid Jibei Electric Power Research Institute North China Electric Power Research Institute Co. Ltd. Beijing 100045 China Grid-connected Operation Technology for Wind-Solar Storage Hybrid System State Grid Corporation Key Laboratory Beijng 100045 China

With the increase of wind power capacity incorporated into the grid, the permeability of wind power increases continuously, which leads to the reduction of the equivalent inertia of the system. Rotor speed recovery will cause the secondary frequency dips when DFIG uses rotor inertial control to participate in system frequency modulation. In order to optimize the secondary frequency dips, this paper uses PSO (Particle Swarm Optimization) to optimize the Parameters of Variable Power Functions on the basis of the previously proposed variable power curve strategy. This article simulates this strategy through setting up a system by Simulink. Simulate the results of optimization, compared with the traditional recovery strategy, validity of the proposed strategy is demonstrated through simulation and analysis.

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Unit Commitment Considering Demand Response Behavior Based on Utility Maximization

Unit Commitment Considering Demand Response Behavior Based o...

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IEEE Conference on Energy Internet and Energy system Integration

作者： Yumin Zhang Xueshan Han Bo Xu Li Zhang Donglei Sun Xiaofeng Miao Jiayin Jiang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment (Department of Electrical Engineering Tsinghua University) Economic & Technology Research Institute of State Grid Shandong Electric Power Company State Grid Shandong Electric Power Company Yantai Electric Power Company

ISBN: (纸本)9781538614280

The active participation of demand side resources in power grid operation not only benefits the individual participant but also benefits the whole system. The optimal goal can promote by excavating the active behaviors of demand side. The welfare maximization of market participant is the driving force of such active behaviors. Considering the independence of each user's behavior, the consumer's utility function is selected to depict consumer's preference and demand response behavior. In order to coordinate the consumers' maximum welfare with social welfare maximization, consumers' utility function and units' operation cost are integrated into Unit Commitment (UC) model. The objective function is to maximize social welfare, by subtracting units' operation cost from consumers' total utility, and this objective can be acquired. Considering the proposed model should be solved in a distributed manner, the idea of the centralized coordination and the decentralized decision-making is proposed. Based on the Lagrangian relaxation (LR) principle and distributed real-time pricing scheme, a closed-loop feedback mechanism is constructed to reflect the relationship among generator output, price level, and load demand. The ten generating units example can illustrate the effectiveness of the proposed method.

关键词： Demand utility Decomposition coordination Electricity market Lagrangian relaxation Real-time pricing Unit commitment

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Degradation of methylene blue in micro-bubbles activated sodium persulfate system

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IOP Conference Series: Materials Science and Engineering 2018年第1期397卷

作者： Lei Wang Tongtong Li Hui Liu Ningqing Lv Beidou Xi Jinsheng Wang Yuanyuan Xie Ying Zhang State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing 100012 P. R. China Shenzhen Long Cheng High-tech Environmental protections Co. Ltd. Shenzhen Guangdong 518063

To better understand the promoting effect of the activation process, the performance of micro-bubbles for sodium persulfate activation was evaluated in this study. The degradation rate reached to 91.3% at 90th min in the micro-bubbles activated reactor (MAR), whereas reached to 85.7% at 250th min in the high temperature activated reactor (HTAR). Based on the fitted models, it can be indicated that the reaction rate constant was 2.45 times in the micro-bubbles activated reactor than that in the high temperature activated reactor. It can be concluded that micro-bubbles can effectively strengthen the activation process of sodium persulfate.

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Supercapacitors: Inverted Design for High‐Performance Supercapacitor Via Co(OH)2‐Derived Highly Oriented MOF Electrodes (Adv. Energy Mater. 7/2018)

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Advanced Energy Materials 2018年第7期8卷

作者： Ting Deng Yue Lu Wei Zhang Manling Sui Xiaoyuan Shi Dong Wang Weitao Zheng State Key Laboratory of Automotive Simulation and Control Department of Materials Science and Key Laboratory of Mobile Materials MOE Jilin University Changchun 130012 China Institute of Microstructure and Properties of Advanced Materials Beijing University of Technology Beijing 100124 China CIC Energigune Parque Tecnológico de Álava Miñano 01510 and IKERBASQUE Basque Foundation for Science Bilbao 48013 Spain

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