Accurate real-time estimation plays an important role in smart grids. Although various filtering algorithms, such as unscented Kalman filter (UKF), have been proposed for phasor measurement unit (PMU), they occupy hug...
详细信息
Recent trends in Network Function Virtualization (NFV) combined with Internet of Things (IoT) and 5G applications have reshaped the network service offering. In particular, Service Function Chains (SFCs) can associate...
详细信息
Future greenhouse gas neutral energy systems will be dominated by variable renewable energy technologies. However, renewable electricity generation from wind and solar technologies, as well as electricity demand, vari...
详细信息
Future greenhouse gas neutral energy systems will be dominated by variable renewable energy technologies. However, renewable electricity generation from wind and solar technologies, as well as electricity demand, varies with the weather. This work addresses the problem of determining optimal capacities for renewable technologies in energy systems that ensure sufficient electricity supply when dealing with multi–year time–series data. For this an iterative algorithm is proposed that starts by optimising an arbitrary starting time–series, followed by adding additional constraints and reoptimising the modified optimisation problem until sufficient energy supply is provided for all time–series, i.e. the solution is robust to weather and demand variations. This is evaluated in a computational study on a German energy system model. The results show that the iterative algorithm finds robust solutions for an increase of 2–2.5% in total annual cost for a simplified model in gurobipy and 2.9% for a model built in the open source model framework ***. Testing the feasibility for all non robust solutions showed that supply gaps occurred in at least some of the remaining years. Based on the results of this work, ensuring feasibility within an energy system model for multiple time–series boils down to two factors: 1.) ensuring sufficient back–up capacity to overcome periods of high demand combined with low electricity generation from wind and photovoltaic, and 2.) enforcing sufficient total annual electricity generation. Our proposed open source iterative algorithm is able to ensure this. For general modelling, it is recommended to (a) check for systematic effects of different years’ time–series on energy system models especially for wind, but also for photovoltaics, (b) include dark lull and cold period effects on generation and demand in time–series, and (c) assess the feasibility of energy system models using different time–*** Codes 90C10, 90C15, 90C90 Copyright
Smartphones as a means of communication are not only used to send and receive messages and make phone calls. Today's smartphones are also intended to store personal data and sensitive information hence it is vulne...
详细信息
Indonesia's tourism sector, a cornerstone of its economy, has seen significant growth with both domestic and international tourists, drawn by its diverse landscapes and cultural sites. In 2022, the country welcome...
详细信息
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conver...
详细信息
In this paper a new filter design for the Uncertainty and Disturbance Estimator (UDE) is proposed to reject periodical disturbances when a limited bandwidth is required for the control output. The motivation comes fro...
详细信息
A laboratory-made tumor cell detection device was fabricated based on both surface plasmon resonance imaging（SPRi） and image *** this device,a gravity-induced flow injection chip（gFIC） was exploited to replace a *...
详细信息
A laboratory-made tumor cell detection device was fabricated based on both surface plasmon resonance imaging（SPRi） and image *** this device,a gravity-induced flow injection chip（gFIC） was exploited to replace a *** two charge coupled devices（CCDs） were used to detect HepG2 cells by SPRi and image processing,*** results of two CCDs are *** A was used to modify the sensing *** inlet angle was carefully adjusted for the device to get an enhanced *** the test,the contrast among cell solutions at different concentrations can be easily *** other CCD using image processing can tell false-positive in some *** detection is label-free,real time,and precise.
A kinetic energy harvester for wearable wireless sensors and personal devices is proposed. The harvester is based on electromagnetic transduction of human movements and on a charge pump with smart switching to minimiz...
详细信息
ISBN:
(纸本)9789639799899
A kinetic energy harvester for wearable wireless sensors and personal devices is proposed. The harvester is based on electromagnetic transduction of human movements and on a charge pump with smart switching to minimize the startup time from the fully depleted state. A detailed analysis and design optimization in the frequency range typical of human motion is also presented. Experimental results confirm that the proposed approach sharply reduces the start-up time and can exploit efficiently even small movements.
An improved reinforcement learning algorithm is proposed in this paper. This algorithm is based on linear programming method for finding the best-response policy. A pursuit example is tested and the results show that ...
详细信息
暂无评论