-
Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method
I. Gde Made Yoga Semadhi Artha,
Ida Bagus Gede Manuaba
Issue:
Volume 7, Issue 1, February 2019
Pages:
1-7
Received:
31 October 2018
Accepted:
27 November 2018
Published:
24 January 2019
Abstract: The development of the tourist destinations of Bali Island, especially Nusa Dua area, should be included with the development of electricity supply in the region. To facilitate a process of electrical energy planning in the region, it is necessary to forecast the electrical load in the area. Forecasting is a process to estimate future events / things to come. In this research, the forecasting of the long-term electrical load for five years and this forecasting method using ANFIS method and use ANN method as a comparison. From the simulation conducted by MAPE which resulted from forecasting the weekly electrical load using ANFIS method is 0.028% while MAPE forecasting using ANN method is 51.57%. From the comparison result, it can be said that the annual electricity load forecasting using the ANFIS method has a better forecasting accuracy than using the ANN method. The forecasting results of this transformer load is used as a reference in planning the electricity system on the Bali Island.
Abstract: The development of the tourist destinations of Bali Island, especially Nusa Dua area, should be included with the development of electricity supply in the region. To facilitate a process of electrical energy planning in the region, it is necessary to forecast the electrical load in the area. Forecasting is a process to estimate future events / thin...
Show More
-
Important Improvements of Helium Mass Spectrometry Test for Sealability
Genglin Wang,
Ningbo Li,
Wenbin Li,
Fei Li,
Weigang Wu,
Yongmin Liu
Issue:
Volume 7, Issue 1, February 2019
Pages:
8-22
Received:
11 December 2018
Accepted:
15 January 2019
Published:
13 February 2019
Abstract: Helium mass spectrometry test is one of the most commonly used electronic component sealability tests. However, it has a few obvious problems. For components passed test, their reliable storage life time is very uneven. During the test, feasibility of removing absorbed helium is low. High missing detection rate reduces the reliability of the test. Combined relevant patents and papers, and on the basis of theoretical derivation, verified by experimental and case analysis, this paper proposed a series of improvements. They include improvement fine-leak test basic criterion, quantitative determination of the maximum detection-waiting time for fine-leak test, a combination test method by using argon as gross-leak test tracer gas and helium as fine-leak test tracer gas as the core improvement, methods of reducing and preventing detection missing in the gross-leak test and fine-leak test.
Abstract: Helium mass spectrometry test is one of the most commonly used electronic component sealability tests. However, it has a few obvious problems. For components passed test, their reliable storage life time is very uneven. During the test, feasibility of removing absorbed helium is low. High missing detection rate reduces the reliability of the test. ...
Show More
-
Application of Artificial Intelligence in the Field of Power Systems
Xu Jizhi,
Zhang Xinyan,
Li Jianwei
Issue:
Volume 7, Issue 1, February 2019
Pages:
23-28
Received:
10 January 2019
Published:
8 March 2019
Abstract: In recent years, the development of power systems has advanced by leaps and bounds. With the development of artificial intelligence, new directions have emerged. China has upgraded the development of artificial intelligence to a national strategy. A new proportion of new energy terminals is connected to the power grid. Modern power systems present complexity and uncertainty. Artificial intelligence technology will be an effective measure to solve complex system control and decision problems. Based on the application of artificial intelligence in the field of power system application. As a key link in the end-use of energy systems, the degree of intelligence of the power system will greatly affect the smooth implementation of the above technological innovations and advancements. At the same time, the pivotal link of the power system will cause the energy system to focus on the power system and Energy-related technologies are the basis for the integration and integration of the entire energy system. Therefore, it is essential to focus on the development of intelligent technologies in the power system. this paper expounds the application of artificial intelligence technology in power system scheduling, planning and power market.
Abstract: In recent years, the development of power systems has advanced by leaps and bounds. With the development of artificial intelligence, new directions have emerged. China has upgraded the development of artificial intelligence to a national strategy. A new proportion of new energy terminals is connected to the power grid. Modern power systems present ...
Show More
-
Research Program of Electric Heating in Xinjiang Area Considering Feasibility and Economy
Li Jianwei,
Zhang Xinyan,
Xu Jizhi
Issue:
Volume 7, Issue 1, February 2019
Pages:
29-35
Received:
14 January 2019
Published:
8 March 2019
Abstract: Under the new normal economic situation, with the transformation of the national economic development mode, the main contradiction in the development of Xinjiang's power industry is that the power generation capacity does not match the social demand, and the power generation capacity is seriously excessive. According to this, Xinjiang has put forward the work plan of "electrified Xinjiang". In the field of construction, it has proposed to solve the problem of power abandonment and overcome the contradiction of power development in Xinjiang by developing electric heating schemes such as heating cables, regenerative electric boilers, heat pumps and so on. Taking the construction of the new campus of Xinjiang University as an example, this paper puts forward two feasible electric heating schemes and compares their economy, in order to promote the pace of replacing traditional energy heating with new clean energy.
Abstract: Under the new normal economic situation, with the transformation of the national economic development mode, the main contradiction in the development of Xinjiang's power industry is that the power generation capacity does not match the social demand, and the power generation capacity is seriously excessive. According to this, Xinjiang has put forwa...
Show More
-
A Study on the Contribution of a Buffer Coated with a Perfect Conductor to Constructing Eigenmodes in Square HAPCF
Issue:
Volume 7, Issue 1, February 2019
Pages:
36-41
Received:
21 January 2019
Accepted:
2 March 2019
Published:
20 March 2019
Abstract: The finite element method (FEM) was carried out to investigate the eigenmodes of square hole-assisted photonic crystal fiber (HAPCF). The Krylov-Schur iteration method was applied to solve the large matrix eigen equation that resulted from FEM. HAPCF is conventional optical fiber with air holes added on the interface between the core and cladding. HAPCF is divided into two classes. One has a buffer coated with a perfect conductor and the other was constructed with the same buffer of the dielectric as the cladding. As a result, transverse magnetic (TM) and transverse electric (TE) spectra were described schematically with the transverse vector fields, the longitudinal scalar fields and their projected contour lines on the cross section of the fiber. The mode types could be determined mainly with the contour lines of the longitudinal scalar field on the cross section of HAPCF. It was found that the buffer coated with the perfect conductor has a great influence on the forming characteristics of the eigenmodes. From the spectra, it was identified that the TM transverse vector fields were almost perfectly constrained in the core area, but the transverse vector fields of TE modes were distributed over to the buffer layer. So, it was understood that more reliable analysis is possible when describing eigenmodes with these three kinds of spectra.
Abstract: The finite element method (FEM) was carried out to investigate the eigenmodes of square hole-assisted photonic crystal fiber (HAPCF). The Krylov-Schur iteration method was applied to solve the large matrix eigen equation that resulted from FEM. HAPCF is conventional optical fiber with air holes added on the interface between the core and cladding. ...
Show More
