scholarly journals Multidimensional Intelligent Distribution Network Load Analysis and Forecasting Management System Based on Multidata Fusion Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-24
Author(s):  
Weijie Cheng ◽  
Renli Cheng ◽  
Jinsheng Liu ◽  
Weizhe Ma ◽  
Jie Li ◽  
...  
Keyword(s):  
Management System ◽  
Distribution Network ◽  
Multidimensional Data ◽  
Software System ◽  
Functional Modules ◽  
Characteristic Analysis ◽  
Load Characteristic ◽  
Network Load ◽  
Load Analysis ◽  
Intelligent Distribution

In order to improve the work efficiency of load characteristic analysis and realize lean management, scientific prediction, and reasonable planning of the distribution networks, this paper develops a multidimensional intelligent distribution network load analysis and prediction management system based on the fusion of multidimensional data for the application of multidimensional big data in the smart distribution network. First, the framework of the software system is designed, and the functional modules for multidimensional load characteristic analysis are designed. Then, the method of multidimensional user load characterization is introduced; furthermore, the application functions and the design process of some important function modules of the software system are introduced. Finally, an application example of the multidimensional user load characterization system is presented. Overall, the developed system has the features of interoperability of data links between functional modules, information support between different functions, and modular design concept, which can meet the daily application requirements of power grid enterprises and can respond quickly to the issued calculation requirements.

Recommendations for deploying multidimensio

2017 ◽  
Vol 11 (1) ◽  
pp. 68-80
Author(s):  
E. E. Akimkina
Keyword(s):  
Comparative Analysis ◽  
Management System ◽  
Analytical Data ◽  
Enterprise Management ◽  
Multidimensional Data ◽  
Dimensional Approach ◽  
Process Data ◽  
Modeling Systems ◽  
Enterprise Management System ◽  
Practical Recommendations

A comparative analysis of different approaches to analytical data and shows that the most ample opportunities has a multi-dimensional approach, implemented with the help of OLAP technology. Presented multidimensional OLAP-cube model with the measurements for the analysis and processing of process data. Practical recommendations for the deployment of a multidimensional data modeling systems with regard to their integration into existing enterprise management system.

scholarly journals Application of FA in intelligent distribution network

2021 ◽  
Vol 631 ◽  
pp. 012122
Author(s):  
Lingkai Zhu ◽  
Qian Wang ◽  
Weishuai Wang ◽  
Haijing Zhang
Keyword(s):  
Distribution Network ◽  
Intelligent Distribution

Intelligent distribution network in the new situation

2016 ◽  
Author(s):  
Xuesong Zhou ◽  
Mingpeng Sun ◽  
Youjie Ma ◽  
Zhiqiang Gao ◽  
Yanjuan Wu ◽  
...  
Keyword(s):  
Distribution Network ◽  
New Situation ◽  
Intelligent Distribution

An Expert Software System has Accomplished Full Implementation of Well Integrity Management System WIMS Resulting to Excellent Safety and Production Sustainability for Critical Sour HPHT Field in Offshore Madura Strait, Indonesia

2021 ◽  
Author(s):  
Fianti Ramadhani ◽  
Syaiful Nurdin ◽  
Michael Olu Etuhoko ◽  
Yang Zhi ◽  
Sugeng Mulyono ◽  
...  
Keyword(s):  
Management System ◽  
Material Selection ◽  
International Standards ◽  
Software System ◽  
Well Performance ◽  
Integrity Test ◽  
Well Integrity ◽  
High Pressure High Temperature ◽  
Integrity Management ◽  
Productive Assets

Abstract Four high-pressure-high temperature (HPHT) and sour gas wells are currently operating at Madura offshore as the only productive assets for Husky-CNOOC Madura Limited (HCML). Each well performance is very crucial to fulfill the demand of the gas customers in East Java, Indonesia. Since starting production in 2017, the wells experienced two main well integrity challenges, high annulus pressure and wellhead growth. Both challenges are very dependent to the well flow rate and the flow duration. A continuous operation monitoring is highly required in order to keep the wells operating safely. To overcome the challenges, HCML established a Well Integrity Management System (WIMS) document that approached several international standards as its basis. As company grows, development plan challenged the WIMS to perform faster and more efficient as compared to the existing manual system. From there, the journey of WIMS digitalization began. The journey started with the alignment of the existing WIMS document to the ISO-16530-1 at Operational Phase with more stringent boundary to operate the wells safely. The alignment covers, but not limited to the organizational structure, well barriers and criteria, monitoring and surveillance, annulus pressure management, and maintenance. The document also covered risk assessment and management of well integrity failure, which was the backbone of the WIMS digitalization. The current digital solutions allow production data to be accessed and retrieved directly from the system for analysis purposes. It compares the recorded data with pre-determined rules and parameters set in the system. It triggers a notification to the responsible personnel to perform the required action should any anomaly occurs. It also can send a reminder to users to schedule and complete a well Integrity test to ensure that a well is always in compliance with the WIMS. All test reports and documentation are stored in the system as preparation for any future audit. A key requirement of the expert software system was access to future developments that can offer enhanced functionality of the well integrity platform through additional near time capabilities such as predictive erosion and corrosion for downhole flow wetted components. This is being developed to enhance workover scheduling for existing wells and material selection for new wells and is planned to update automatically critical well integrity criteria such as tubing burst, collapse and MAASP.

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