Power Dispatching of Transportable Energy Storage System for Post-disaster Restoration Scheme of Port: The AES-Based Joint Restoration Scheme

In recent years, the rapid development of artificial intelligence, Big Data, Cloud Computing, etc., rapidly develops, synergy development of the transportation-energy-information based triple play has been accelerated. The all-electric ship (AES) is satisfied with the demand for both the unreasonable resource configuration of port energy system and low energy efficiency caused by sudden disasters. As a power carrier unit, AES has great potential in improving the resistance of port power distribution network for large-area blackout. Therefore, in this paper, a joint post-disaster restoration scheme for AESs and distribution generation scheduling in ports’ microgrid (MG) is proposed to minimize the cost of post-disaster restoration including customer interruption cost and AES operation cost. The time-space network (TSN) model which describes the scheduling of AESs is applied to compare the grid resilience and flexibility of AES-based joint dispatching and only relying on distributed generation equipment in post-disaster restoration. The joint scheduling problem is formulated as a mixed-integer linear programming. The proposed model and scheme are tested in a system with 3 ports and 4 AESs verified the resilience of the port power distribution network with AESs.

VIRTUAL RESTORATION OF THE GREAT WALL BASED ON THE EVIDENCES SCALES, TAKE THE NINE-EYES WATCHTOWER AS AN EXAMPLE

Aiming at solving the problem of how to obtain the different evidence and deduce the disappeared sections of the Great Wall site, this paper quoted the concept of evidence scale and proposed a virtual restoration framework. In this paper, taking the Nine-eyes watchtower as an example, we modified the evidence-scale from 10 to 3: the existed relic, the direct evidence and the indirect evidence. The framework consisted of three parts, namely, the classification of evidence scale, the evidence checks and the generation of three-dimensional (3D) virtual models. Base on the support of the restoration scheme and 3DMAX technology, the disappeared parts of Nine-eyes watchtower was finally restored to its original appearance. The result of virtual restoration could not only help the tourists to visit the original appearance of cultural heritage, but also experience the culture value and historical vicissitude. Therefore, it was of great scientific significance and cultural value to study how to carry out virtual restoration for the ancient relics.

SIMRES-TV: NOISE AND RESIDUAL SIMILARITY FOR PARAMETER ESTIMATION IN TOTAL VARIATION

Image restoration with regularization models is very popular in the image processing literature. Total variation (TV) is one of the important edge preserving regularization models used, however, to obtain optimal restoration results the regularization parameter needs to be set appropriately. We propose here a new parameter estimation approach for total variation based image restoration. By utilizing known noise levels we compute the regularization parameter by reducing the similarity between residual and noise variances. We use the split Bregman algorithm for the total variation along with this automatic parameter estimation step to obtain a very fast restoration scheme. Experimental results indicate the proposed parameter estimation obtained better denoised images and videos in terms of PSNR and SSIM measures and the computational overload is less compared with other approaches.