Energy needs are increasingly diverse and the share of renewable energy has also increased. This article suggests a bi-level optimal allocation method for flexible resource capacity of new energy towns considering uncertainty. Combined with the scenario where the proportional selection method is used to generate the joint probability product of power supply and load, the data of a representative day is chosen as input, which is the day on which the maximum probability is selected by using the reduction technique. The planning layer aims at the lowest annual investment and operating and tending expenses. The number and size of flexible resources are determined, such as ground-source heat pumps, energy storage devices, and heat storage devices that should be installed. The operation layer aims at the lowest expense of fuel, operating and tending, and light abandonment penalty, and uses a genetic algorithm to solve the flexible resource optimization configuration scheme established in typical scenarios. At the end of this paper, through the simulation of a village in the north of China with more new energy sources, it is concluded that the method proposed in this article is useful.

The study of regionally integrated energy system optimization problems is of great significance and usefulness for the development of the energy Internet. Regional integrated energy system planning and optimization modeling is the basis for rational system configuration and economical operation. It is one of the key issues in the development of integrated regional energy systems. The optimization of a regionally integrated energy system is studied in this paper. The uncertainty of wind power generation and photovoltaic power generation and the characteristic of CHP is considered. Were established. On this basis, Considering the uncertainty of new energy, a GSHP optimal allocation model based on two-layer optimization is established. A two-level optimization model is introduced. A genetic algorithm is applied to the upper layer, and a genetic algorithm is applied to the lower layer to analyze the nonlinear programming problem. Finally, different system configuration schemes are proposed and computationally solved, combined with examples for case studies to verify the feasibility of the established regional integrated energy system optimization model.

Fault detection based on k-nearest neighbor (FD-kNN) is one of the most widespread fault detection techniques for industrial processes under complex working conditions, owing to its characteristic of local modeling. However, its state separation ability tends to worsen when the operating data is heterogeneous distribution. To tackle this challenge, a weighted k-nearest neighbor fault detection method based on multistep index and dynamic neighbor scale is proposed. The multistep nearest neighbor index is defined to evaluate the state separation ability, and a weighted k-nearest neighbor fault detection framework is formed by the assigned weights obtained from kernel principal component analysis. On the basis above, a dynamic neighborhood scale correction method and a dynamic threshold setting strategy are proposed to deal with the heterogeneous distribution of operating data and track the abrupt change of the operation state. 10 common faults of wind turbines with complex operation conditions are used to verify the effectiveness of the proposed method.

Wind turbines (WTs) are complex pieces of engineering. They are generally exposed to harsh environmental conditions. Thus, major changeable working conditions and multidimensional dynamic correlation arise, resulting in unsatisfactory fault detection accuracy. A WT fault detection method based on spatio-temporal features and neighbor operation state is proposed in this study to tackle the aforementioned challenge. A spatio-temporal feature extraction method based on accumulated mutual information is proposed to describe the dynamic correlation of multiple features during the offline phase. Then, the spatio-temporal features are applied to build the weighted k-nearest neighbor fault detection model. In the online phase, the weighted distance between the online sample and the neighbor operation state is adopted to identify the anomaly state. Moreover, a dynamic threshold based on the neighbor sample is designed to cope with the changeable operating conditions. The proposed methods are demonstrated using FAST data and supervisory control and data acquisition data, which consider different fault types. The experiment results show that compared with similar methods and traditional fault detection methods, the operational characteristics of WTs' components can be better described by the proposed spatio-temporal feature extraction method, and the false alarm rates can be considerably reduced by the dynamic threshold.

Due to the randomness and volatility of wind power output, large-scale integration of wind power intensifies the phenomenon of wind power curtailment and power limitation, resulting in serious waste of clean energy of wind power. From the point of view of improving system flexibility, this paper takes CHP, electric boiler and heat storage device as the flexible equipment of integrated energy system, and constructs a coordinated dispatching model of comprehensive energy system with various flexible equipment for wind curtailment and absorption. The model takes into account the operation cost and purchasing cost of the system. In order to reduce wind power curtailment rate, the curtailment wind penalty cost is added to the target. Through the analysis of a variety of heating modes, based on meeting a certain load and heat load, the daily scheduling plan is optimized by minimizing the cost of the system as the goal. The influence of adding flexible equipment on wind power curtailment is analyzed. The results show that the model can improve the wind power consumption capacity and system flexibility.

Virtual moment of inertia control can effectively improve the frequency response performance of high proportion wind power, but it still has some limitations. The reason is that the rotor kinetic energy provided by the Wind turbine is very limited. When the rotor speed drops to a certain limit, the Wind turbine will exit the frequency modulation and resume the speed. Because of the uncertainty of wind output, there is still a certain probability that the system will produce a secondary frequency drop. To solve these problems, this paper proposes a coordinated control strategy of wind storage, that is, adding liquid flow battery to the grid side of the wind farm to supplement the rotor kinetic energy of the unstable wind turbine, so as to ensure the stability of the wind turbine. In order to maximize the moment of inertia of Wind turbine rotor, PSCAD/EMTDC is used to establish the optimal simulation model of wind storage joint system. The simulation results show that the control strategy proposed in this paper is effective: the frequency drop problem caused by the extraction of rotor kinetic energy can be significantly improved, and then the frequency support ability of high proportion wind power grid connected system can be improved, which verifies the feasibility of wind farm configuration and energy storage.

In nature,the diamond is the hardest materials,but it is easy to be oxidated in the high temperature,so it can’t be used to make cutting tools under the nature conditions.Cubic boron nitride has many excellent properties,but its internal stress is large,which largely affects its development in the industrial production.People expect to create a new ternary compound boron carbon and nitrogen material,and hope that the compound has the advantages of two substances original without their shortcomings. Boron carbon nitride films were deposited onto silicon substrates by medium frequency magnetron sputtering from graphite and boron targets with Ar and N2 as feedstock.By changing sputtering power of graphite target amorphous B-C-N thin films were synthesized on silicon substrate.The chemical bonding states,structure and morphology of B-C-N films were investigated by FTIR,AFM,and XRD analysis.

辽宁产业集群内中小型科技企业孵化器近年来取得了快速发展,为培育中小型科技企业起到了重要作用,但还存在政策支持、建设投入、投资规模、收入结构等方面问题,需要加强政策环境、运行机制、资源共享、品牌文化建设等方面建设,构建有利于科技企业孵化器集群发展有效途径,增强企业国际竞争力.

Punch forming is widely used in many fields such as car industry, aviation, and mechanical industry. Along with the new requirement such as velocity, efficiency, costing of punch forming, there is more and more failure appearance. For example, fracture, fold and spring back. In this paper, a detailed analysis of punch forming is done by FEM(finite element method), and the stresses of punch forming are obtained at every phase of punch. This work is very useful for mold design, punch forming parameters set and material properties test.

By evaluating the building of college innovation team in Liaoning province, this paper issues the rationality and validity of its operation mechanism from three aspects. Combing with the new requirement of science and technology, economy and the development of society in Liaoning province, this paper gives some suggests as follows： 1 ） improving the system of evaluation indicator ;2）improving the mechanism of management ;3 ）building interdisciplinary, crossedregional and crosscorporative college innovation team.

This paper studies the main circuit of the direct-driven grid-converter.Power supply circuit design of content includes the design method of line-side LCL filter and the generator-side du/dt filter,the elimination of common mode voltage,the brake unit,the pre-charging circuit and the control system.Finally,based on the control theory and the design scheme,simulating the control methods using Matlab,and through the experiments of the full-scale power con-verter for 1.5 MW permanent magnet direct-driven wind turbine,it demonstrates that the design method is feasible.

Distributionrd photovoltaic generation has become an important form of renewable resources.The paper presents the structure and working principle of photovoltatic generating system and analyzes the effect the photovoltain generating system on the distribution grid.By the calculating example,it has proved that the engineering model has a certain application value.

This paper introduces the SF6 high voltage circuit breaker development situation and expounds the capability of this circuit breaker and arc extinguish mode.Combining the development of science and technology,it also discusses the development trend of porcelain knob circuit breaker and tank circuit breaker.

智能电网最重要的特征就是自愈功能."自愈"功能是把电网中存在问题的元件从系统中分隔出来,并在无须人为操作的条件下使系统迅速恢复到正常运行状态,从而保证为用户安全稳定地供电.将已有的网络重构算法与开发的软件相结合,利用数据库、通信技术和计算机运算能力,将电力系统中的网络拓扑结构输入软件,经过实时运算得出最佳运行方式,借助软件对储存的相关系统的历史数据进行分析.

目前电力系统发展速度很快,电力网络的结构和运行模式也变得越来越复杂,电力系统中大量实时数据的质量决定电力系统运行的安全与稳定.为了确保电力系统运行的安全与稳定,必须对电力系统中不良数据进行检测与辨识.不良数据的存在会降低状态估计的收敛性能,甚至造成状态估计失败.采用有效指数与数据挖掘的k-means聚类算法相结合,并融合神经网络技术,利用VC++语言和MATLAB语言进行编程仿真,验证了算法的有效性,准确地对不良数据进行了辨识.

DC operation of AC contactor can reduce the electric energy consumed in electromagnetic system operation.This paper analyzes the energy loss of AC contactor′s operation and introduces the method and the work principle of DC operation based on energy-saving AC contactor as well as the primary technology index of it.Finally,the paper gives explanation about economic benefit of DC operation based on AC contactor.

Through the contents of practical examples and graphs,the residential electrical energy saving was discussed,and the choices on house illuminance levels and illumination modes were analyzed.The methods on how to choose wire and cable were introduced.Furthermore,the specific methods on how to choose energy saving lighting and control switching were put forward.

This article analyzes the importance of line loss calculating for 10 kV rural distribution lines and discusses the classification of line loss and varieties of factors which influence the line loss.It also presents the method of backward and forward substitution method to calculate the real-time line loss for distribution network and employs the depth-first strategy to identify topology structure.C language is used to edit the calculation software on line loss for rural power system on the basis of VISUAL C++ platform and at the same time JAVA language is also adopted to design the interface.Eventually,it explores the measures of reducing line loss in rural power system.

Aiming at the load characteristics and operation speciality of distribution network in oil field,sets up the mathematical model of oil-pumping machine,according to the more-embranchment,radiate and unilateral power-supply connection mode of distribution network in oil field,as well as the characteristics that dispersiveness of load is large,power factor is low,terminal voltage drop is huge,adopts the means that combining the transformer compensation and disperse compensation,calculates the tide with forward and backward substitution method,analyzes and ascertains the compensation point and compensation capacity by sensitivity.Simulation results show the validity of this method.

照明设计是住宅装饰中主体设计工作的延伸和细化,在住宅装饰中起着极其重要的作用.对住宅照明设计中的设计要素、灯具选择、线路控制等相关问题进行了介绍.