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The Accelerator Driven sub-critical reactor System (ADS) is an innovative system for the utilization of nuclear energy, for which the strategy of power control is different from the current critical reactor. In this paper, the physical model of the sub-critical reactor core of ADS was built according to the point space-time neutron kinetics equations with delayed neutrons produced by precursor nuclides...
The optimal planning of distributed photovoltaic system is conducive to reducing the adverse impact of high-permeability random access on power distribution systems. In this paper, a optimization planning model of locating and sizing of distributed photovoltaic power generation system is established to improve the permeability of PV system on the premise of the safe operation of the power system,...
The output voltage control of the Solid Oxide Fuel Cell (SOFC) is challenging due to the strong nonlinearity, modelling uncertainty, the dramatic change of the external current load and constraints on the amplitudes and change rates of the actuator. Besides, the desired range of the fuel utilization is another difficult for the control strategy. In this paper, Active disturbance rejection control...
In this paper, Maclaurin expansion and Padé approximation are utilized to handle the RHP zeros in the simplified decoupling control and the choosing strategy is given. To improve the robustness of each loop, Active Disturbance Rejection Control (ADRC) is adopted as a good solution which can estimate and compensate the total disturbances by the extended state observer (ESO). Besides, the stability...
State of Charge (SOC) estimation has always been a key issue in the Battery Management System (BMS). This paper proposes a simple modified Luenberger observer to estimate the state of charge of the lithium-ion battery. Nonlinearity of battery equivalent circuit model is approximated at each step. Simulation results show that this simple modified Luenberger observer achieves satisfactory estimation...
Business processes change over time in response to changing circumstances, it is crucial for process managers to discover and understand such changes from event logs. While existing techniques in process mining cannot efficiently detect and locate concept drifts in uncompleted event logs. Hence, an appropriate method, which could prompt to unravel the process evolution, may greatly assist organizations...
In this paper, we consider user location privacy in mobile edge clouds (MECs). MECs are small clouds deployed at the network edge to offer cloud services close to mobile users, and many solutions have been proposed to maximize service locality by migrating services to follow their users. Co-location of a user and his service, however, implies that a cyber eavesdropper observing service migrations...
With the fast proliferation of residential microgrids integrated into the power grid, it is crucial to develop a low cost and high efficiency microgrid central control (MGCC) for promoting the large-scale application of residential microgrids. Considering various users' demand, we develop a novel MGCC based on the multi-level communication model. The MGCC integrates many functional modules, including...
With microgrids merging into the distribution network on a large scale, multi-layer microgrids was formed in a certain area, which had flexible operation modes, large quantities of power supplies with different operating characteristics, and complicated control methods. Aimed at multi-layer PV-ESS microgrids which was widely applied, this paper proposed a power coordinated control algorithm based...
The incremental conductance (INC) algorithm is one of the most extensive maximum power point tracking (MPPT) techniques for photovoltaic (PV) system to make full utilization of solar energy. However, the conventional INC algorithm can't track the MPP for PV systems effectively in rapidly changing atmospheric conditions. A novel region partition MPPT algorithm based on variable step-size INC is proposed...
Resource positioning in cloud computing system under the support of the Internet of things (IoT) is very important, especially for distributed collaborative task. Position-based services is used to collect, process, store and distribute position information. Taking a typical collaborative task - cloud manufacturing as the background, in view of resource positioning service, an algorithm supported...
Though cloud computing technology is usually used to analyze big data, for business data produced by collaborative task system, the massive business data sets should be analyzed from a business process perspective, more than a technology perspective. To achieve the goal, an analysis approach based on iterative computation is proposed. Firstly, taking data sequence analysis in collaborative workflows...
In order to utilize manufacturing resources reasonably, improve production efficiency, lower the production cost, reduce the waste of resources and environment in the process of production, and reduce the difference between process design phase and production scheduling stage, the multi-objective flexible process planning of multi-part in discrete manufacturing is studied in this paper. On the basis...
An appropriate selection is of great importance to Web service composition. Current approaches normally focus on the average performance of quality of service (QoS) of Web services while not paying more attention to the performance such as stability considering the changing environments. In addition, Web services are differentiated from others with same functions which are provided by various physical...
Aiming to the coordination of two-stage supply chain of one manufacturer and one retailer, this study develops a quantity-discount contract based two-stage supply chain coordination method in the environment of discrete multi-cycle demand. Firstly, the coordination models considering the all-unit quantity discount policy and incremental quantity discount policy are established. The solution algorithm...
One of the important goals collaborative tasks achieve is to improve the entire efficiency of business processes. The influence should be discovered between resource services according to the order the activities use in business processes. However, it is especially difficult in collaborative task as each participant organizations use resource services independently. In a workflow, resource services...
In collaborative task, composition of resource services can be provided to enterprise users to enable value-added services. Taking typical cloud manufacturing for instance, the composition of resource services can improve the efficiency of resource selection and usage as massive manufacturing resource are widely distributed. To achieve the goal, a reasonable approach for partitioning aggregation of...
An active all-optical high-efficiency broadband terahertz device based on an organometal halide perovskite (CH3NH3PM3, MAPbI3)/inorganic (Si) structure is investigated. Spectrally broadband modulation of the THz transmission is obtained in the frequency range from 0.2 to 2.6 THz, and a modulation depth of nearly 100% can be achieved with a low-level photoexcitation power (∼0.4 W/cm2). Both THz transmission...
We consider the problem of placing services in a telecommunication network in the presence of failures. In contrast to existing service placement algorithms that focus on optimizing the quality of service (QoS), we consider the performance of monitoring failures from end-to-end connection states between clients and servers, and investigate service placement algorithms that optimize the monitoring...
We consider the problem of placing the minimum number of monitors in a communication network with possible topology changes to identify additive link metrics from path metrics. The core of our solution is a suite of robust monitor placement algorithms with different performance-complexity tradeoffs that guarantee network identifiability for the multiple possible topologies. In particular, we show...
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