Access to energy storage devices (ESDs) is an effective way solve the peak traction load shock and Regenerative Braking Energy (RBE) recycling. However, in real-time operation of system, there are problems prediction errors affecting control results problem "dead time." This article analyzes mechanism "dead-time" aims this without increasing capacity. Therefore, combines ideas rolling optimization predictive model (MPC) method proposes MPC based on adaptive correction (AC-MPC) State Charge...

Electrified railway is one of the major users electricity in power system. The access energy storage system (ESS) effectively solves problems peak traction load (TL) shock and regenerative braking (RBE) recycling, photovoltaic (PV) improves environmental economic benefits. However, current control strategy based on electrified with ESS PV, there are still less optimal overall clipping effect TL insufficient penetration renewable sources (RES) due to low utilization lack pre-processing...

Mammographie risk analysis is a useful means for the early diagnosis of breast cancer. There are many efforts have been devoted to improving performance relevant assessment technologies. This paper presents an invasive weed optimization (IWO) based fuzzy-rough feature selection method mammographic assessment. The advantage IWO that offspring individuals randomly spread around their parents according Gaussian distribution during evolution process. Such designated with dynamical standard...

In order to stabilize the uncertainty of large-scale new energy power’s random fluctuation in grid, there is an increasing number large thermal power generating unit needing do deep variable load operation. However, pattern steam inlet on turbine’s part has a very significant impact operation condition safety, stability and economy. this paper HP-valve’s body vibration fault turbines caused by unsteady flow under partial arc admission operating at their full researched, economic solution...

To address the problem that current single weighting method cannot take into account subjective and objective weight information, which makes weights biased easily, influence of overlapping level indicator information on evaluation results is not considered. AHPimproved CRITIC proposed to find combination weights. The ranking TOPSIS, an approximate ideal solution, used realize comprehensive dual auxiliary service demand energy storage system applied peak shaving regenerative braking recovery...

The electrified railway integrating renewable energy sources (RES) and storage system (ESS) is the future trend of environment-friendly transportation. ESS can improve reliability RES reduce mismatch between consumption generation. However, capacity relationship affect performance indicators such as utilization penetration rate RES. Furthermore, there an interaction daily dispatch ESS, addition will deepen this interaction. Therefore, paper proposed a concept traction power supply with...

Abstract The whole process security of power information system is the key to make grid operation safe and stable. Firstly, concept characteristics life cycle management (WLCM) are summarized by this paper systematically. Secondly, network architecture based on full constructed, which designed protect cyber from three aspects: control flow, technical support mechanism guarantee system. Thirdly, security’s flow grid, (PGIS) proposed. And were in detail. Finally, method proposed carried out a...

Power Internet of Things is the application IoT in smart power grid. Once attacked, it will cause huge losses. Therefore, necessary to conduct a security assessment take defensive measures. However, traditional vulnerability methods things mostly focus on system itself, without considering impact business economy and efficiency. This paper proposes method integrating security. first analyzes risks faced by Things, establishes its attack tree model. Then, each leaf node rated from three...

Honeypot is a common method of attack capture, can maximize the reduction cyber-attacks. However, its limited application layer simulation makes it impossible to use effectively in power system. Through research on sandboxing technology, this article implements simulated manager applications by packaging real applications, order expand honeypot applied range.

Feature selection is a dimensionality reduction technique with the purpose of selecting those input features that are most predictive given outcome. The benefits feature include simplified internal-relationship and improved prediction performance. Methods based on fuzzy-rough set theory have employed dependency function to guide process much success. This paper further extends (FRFS) by using invasive weed optimisation (IWO) strategy. advantage IWO offspring individuals randomly spread...

In order to reduce the investment cost of energy storage in traction power supply system, this paper considers impact real-time control process system (ESS) on size capacity. conventional strategies, problem incomplete load peak elimination and braking (BE) recovery can easily arise due inflexible dispatch. To solve above problems, a strategy ESS based fuzzy is proposed. Under guidance strategy, it not only problems traditional but also capacity by rational utilization paper, optimal...

With the rapid development of high-speed trains in China, power consumption during operation electric locomotives is increasing, which poses a serious challenge to economic and environmental protection traction supply system (TPSS). The purpose this paper address contradiction between economy TPSS by introducing new energy units such as photovoltaic combined with storage (ESS) meet its peak-shaving regenerative braking (RBE) recovery needs. At same time, carbon trading mechanism introduced...

The traction power supply system of high-speed railroad is prone to various failures after a shock, resulting in interruptions, which can cause great economic losses if not repaired time. In order evaluate the recovery capability fault occurs shock event, based on structure and operation characteristics system, concept elastic proposed, key force arm network are analyzed. Three assessment metrics: load rate, restoration time expectation value introduced. Based Markov Monte Carlo simulation...

With the development of computer network technology and new media technology, video business continued to expand coverage. Micro is used as an important form its content more extensive, diverse characteristics have gradually become mainstream service. According current micro transmission processing this paper research design authorization management system applied service platform. Through operations video, realize copyright protection function video.

In order to reason for the conflicting beliefs, this paper employs conclusion that does not contain opposite information as hypothesis expansion. Furthermore, it provides definition of extension based on method belief non-revision. The expansion has a series good mathematical properties, e.g., consistency and closeness. This proposes algorithm clausal beliefs its nature. Although number may decrease working speed algorithm, correctness corresponding is enhanced. experimental results...

The belief non-revision method can achieve a consistent hypothesis extension by limiting the process of reasoning. In propositional logic, several valuable properties have been proved. is an infinite set. It includes some clauses. For improving efficiency method, this paper proposed algorithm in logic. Hypothesis still limited set clauses according to method. And it logically equivalent with existing extension. experimental results and theoretical are consistent.

To enhance the efficiency and accuracy of case retrieval for digital design machinery system, article examines a similarity calculation method based on extension distance puts forward deviation information related with among properties to distribute dynamic attributes weights which also considers customers preference. The is applied precision spade punch planter, it demonstrated that can process precise imprecise effectively in retrieval.

To take full advantage of the specified features attack dataset in network effect evaluation, maximize efficiency evaluation without losing its accuracy. This paper proposed a K-Means technique using dimensional entropy components, derived from changes through period and advantages clustering algorithm data mining. method makes pre-process on basis entropy, mapping it to two-dimensional plane utilize output as input clustering. Then establish relation between category via an improved...