Architecture and Key Technologies of Intelligent Dispatching Based on Situational Awareness

2013 ◽  
Vol 448-453 ◽  
pp. 2259-2265
Author(s):  
Sheng Chun Yang ◽  
Bi Qiang Tang ◽  
Jian Guo Yao ◽  
Feng Li ◽  
Yi Jun Yu ◽  
...  
Keyword(s):  
Decision Making ◽  
Risk Analysis ◽  
Human Computer Interaction ◽  
Early Warning ◽  
Large Scale ◽  
Situational Awareness ◽  
Power Grid ◽  
Operating Conditions ◽  
Knowledge Mining ◽  
Grid Operation

With the construction of UHV power grid, integration of large-scale renewable clean energy, and large-scale energy base putting into operation, the power grid dispatching faced with more and more complex challenges. On the basis of existing research results, architecture of intelligent dispatching based on situation awareness is proposed, so as to accurately achieve prevention and control of the power system. The shortcomings of traditional dispatching mode are analyzed firstly, and the concepts and characterization approaches of grid situational awareness and operation state trajectory of power grid are then introduced. The overall objective of intelligent dispatching is presented, including data processing and integrated knowledge mining, predictive perception of grid operation, risk analysis and comprehensive early warning, so as to achieve "automatic cruise under normal operating conditions, automatic navigation under abnormal operating conditions ". The functional framework of intelligent dispatching is also proposed in details, including four major aspects of the perception and forecasts, risk analysis, decision-making support, and automatic control, as well as three supporting functions such as post-assessment of dispatching, trajectory index calculation, and human-computer interaction (HCI).Technical innovations to support automatic intelligent dispatching are discussed and organised in three levels, i.e. perception, comprehension and projection. The breakthroughs are: construction of index system, trajectory recognition based on massive information and knowledge mining, trajectory projection taking into accounts the uncertainties, online risk assessment and early warning, power grid intelligent decision-making support, automatic coordination of grid operation control, online assessment, natural human-computer interaction mode, and etc... These are the future research areas of automatic intelligent dispatching.

scholarly journals The Maximum Scale Analysis of PV Generation Growth based on Power Grid Development

2019 ◽  
Vol 118 ◽  
pp. 02023
Author(s):  
Huang Zonghong ◽  
Wangcheng Long ◽  
Xiang Li ◽  
Xu dongjie ◽  
Zhe Sun
Keyword(s):  
Power System ◽  
Electricity Generation ◽  
Large Scale ◽  
System Development ◽  
Power Grid ◽  
Great Influence ◽  
The Difference ◽  
Grid Operation ◽  
Policy Guidance ◽  
Pv Generation

Since 2010, photovoltaic (PV) was growing rapidly for policy guidance in China. The large-scale PV electricity generation had a great influence on the power grid operation because of the change of the power supply layout. How to analyse the influence is an important matter to power system development. The analysed results will decide the trends of the PV electricity generation in future. Therefore, the Coordination analysis of PV generation growth is crucial to those developments. In this paper, the reasonable plant scale arrangement was discussed based on the difference between peak and valley of power system.

Maximizing Production with Real-Time Integrity Operating Windows

2021 ◽  
Author(s):  
Shintaro Honjo ◽  
Shunsaku Matsumoto ◽  
Takeshi Sano
Keyword(s):  
Risk Analysis ◽  
Real Time ◽  
Large Scale ◽  
Phase 1 ◽  
Operating Conditions ◽  
Individual Risk ◽  
Study Phase ◽  
Operation And Maintenance ◽  
Offshore Industry ◽  
Module Development

Abstract A conceptual design of digital Intelligent Production Integrity Operating Windows (IP-IOW) system, which is an unique and transformational solution to the oil and gas offshore industry focusing on maximizing production while optimizing equipment operation, was developed through a Nippon Foundation (NF) - DeepStar® partnership project. This connects the fluids system with the equipment system using IP-IOW architecture and specifications of a digital platform. The developed digital IP-IOW architecture contains five major evaluation modules, which are Component risk analysis (CRA), Failure Mode and Effect Analysis (FMEA), Failure Evaluation (FE), Maintenance Evaluation (ME), and Reliability Availability, and Maintainability Analysis (RAMA) focusing on critical components, including subsea choke, flowline and riser, topside choke, topside equipment, and crude export line. Each module has a function of monitoring, risk evaluation or analysis of each component based on various existing databases and/or industrial standards. Component risk analysis (CRA) module is designed as a key module to evaluate individual risk of each component based on the evaluation results of the other modules and to provide IP-IOW dashboards through operation and maintenance analysis methods. CRA module analyzes operation and maintenance based on the likelihood of failure (probability of failure) as a function of operation and maintenance conditions and impact of the damage. Calculated safety operating windows (SOWs) and reliability operating windows (ROWs) would be indicated on the IP-IOW dashboard. In this project, detailed gap analysis was also conducted to gain an understanding of what relevant industry standards and practices have been published and how these publications have gaps with respect to IP-IOW. A completed search was made of technical indices and reference sources to identify codes and standards that may or can be used for developing Integrity Operating Windows (IOWs) for topside fixed equipment. Current API, DNV, and EI applicable recommended practices (RP) cover damaging effect, in-service inspection, risk ranking, repair items prioritization, and alteration of fixed equipment systems. However, the RPs do not cover how to integrate industry best practices into a real-time digital operating environment that is integral to the next generation O&M system. A critical recommendation is to connect the systems digitally allowing for data analytics using the Digital Twin of the asset. Several case studies on module development were conducted to demonstrate an example of the module development process and the workflow of module. RAM analysis on one of selected offshore production facilities identified top 30 high risk components from around 1200 components. A pilot physical model was also developed to enable the embodiment of a new industry recommended practice for offshore large scale of FPSO asset. This conceptual pilot has used the topside choke sand erosion connecting the fluid characterization (multi-phase flow) with the selected equipment to develop the correlation addressing major technical challenges of fixed equipment while maximizing production. An example of validation results of erosion module showed good agreement between actual inspection results and CFD calculation results. Overall, IP-IOW is designed based on rigorous CFD and field data to predict critical section of system and/or equipment likelihood of failure (LOF), such as Erosion with solids, flow induced vibration (FIV), acoustic induced vibration (AIV), vortex induced vibration (VIV), and corrosion in offshore environment. Mitsubishi Heavy Industries (MHI) has been sponsored by Nippon Foundation (NF) and DeepStar (DS) Joint Ocean Innovation R&D Program to perform a research study (Phase 1) of project titled "19143 Fixed Equipment Integrity Operating Windows based on Facility Operating Conditions" started from May 2019.

Distributed Wind Power Integration Operation and Impacts on Regional Power System

2014 ◽  
Vol 953-954 ◽  
pp. 533-536
Author(s):  
Guang Lei Li ◽  
Xin Shi ◽  
Chun Xu Zhang ◽  
Hua Deng ◽  
Xian Zhen Zeng
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Power Grid ◽  
Technical Specification ◽  
Engineering Practice ◽  
Centralized Control ◽  
Parallel Operation ◽  
Wind Power Integration ◽  
Resource Type ◽  
Grid Operation

At present, distributed wind is in its infancy, so engineering practice and related technology research and development is relatively lacking. The aging problem parallel operation between wind power and power grid enterprises is the issue that the whole world should be confronted with. This paper study the influence of wind power access to power grid operation, reveal the interactive mechanism of distributed wind power and power grid, formulate the corresponding technical specification and achieve the centralized control of distributed wind power. These can be used to guide the large-scale development of distributed wind power, which makes the development of distributed wind power guided by resource type guide transition to the grid type.

scholarly journals Control Method of Buses and Lines Using Reinforcement Learning for Short Circuit Current Reduction

2020 ◽  
Vol 12 (22) ◽  
pp. 9333
Author(s):  
Sangwook Han
Keyword(s):  
Reinforcement Learning ◽  
Power Systems ◽  
Large Scale ◽  
Control Method ◽  
Short Circuit ◽  
Power Grid ◽  
Short Circuit Current ◽  
Control Methods ◽  
Grid Operation ◽  
Short Circuit Currents

This paper proposes a reinforcement learning-based approach that optimises bus and line control methods to solve the problem of short circuit currents in power systems. Expansion of power grids leads to concentrated power output and more lines for large-scale transmission, thereby increasing short circuit currents. The short circuit currents must be managed systematically by controlling the buses and lines such as separating, merging, and moving a bus, line, or transformer. However, there are countless possible control schemes in an actual grid. Moreover, to ensure compliance with power system reliability standards, no bus should exceed breaker capacity nor should lines or transformers be overloaded. For this reason, examining and selecting a plan requires extensive time and effort. To solve these problems, this paper introduces reinforcement learning to optimise control methods. By providing appropriate rewards for each control action, a policy is set, and the optimal control method is obtained through a maximising value method. In addition, a technique is presented that systematically defines the bus and line separation measures, limits the range of measures to those with actual power grid applicability, and reduces the optimisation time while increasing the convergence probability and enabling use in actual power grid operation. In the future, this technique will contribute significantly to establishing power grid operation plans based on short circuit currents.

Analyses on Integration of Wind Power into Gansu Power Grid

2012 ◽  
Vol 608-609 ◽  
pp. 569-572 ◽  
Author(s):  
Xi Chao Zhou ◽  
Fu Chao Liu ◽  
Jing Jing Zheng
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Transient Stability ◽  
Power Grid ◽  
Wind Farms ◽  
Chinese Government ◽  
Wind Power Integration ◽  
Grid Operation ◽  
Installed Capacity ◽  
The Impact

In recent years, wind power penetration into the grid has increased rapidly with abundant wind resources in Jiuquan, according to the policy of the Chinese government to “establish a ‘Hexi Wind Power Corridor’ and rebuild another Western ‘Terrestrial Three Gorges Dam’”. By the end of 2010, the total installed capacity of wind power in Jiuquan has reached 5160 MW. The wind farms are connected to 110 kV transmission network or above in Jiuquan, the studies of their impacts on the grid, in particular, the grid operation are becoming serious and urgent. Jiuquan is far away from the load center with a weak grid configuration, therefore issues such as transmission line overloading, local grid voltage fluctuation, and transient stability limitation are looming with large scale wind power integration. The power system dispatch and operation are influenced by the intermittent nature of the wind power, which should be regulated by the system reserves. This paper discusses the recent integration of wind power into the grid with a focus on the impact on the Gansu power grid operation. The paper also presents the measures to deal with these issues.

A Novel Method of Static Security Analysis Based on Multithread Technology

2013 ◽  
Vol 732-733 ◽  
pp. 639-645
Author(s):  
Bi Qiang Tang ◽  
Yi Jun Yu ◽  
Shu Hai Feng ◽  
Feng Li
Keyword(s):  
Power Systems ◽  
Large Scale ◽  
Power Grid ◽  
Security Analysis ◽  
Power Grids ◽  
Long Time ◽  
Grid Construction ◽  
Static Security ◽  
Bulk Power ◽  
Grid Operation

With the UHV (Ultra High Voltage) power grid construction and the interconnection of regional power grids, the scale of power grids in China is increasing rapidly. At the same time, significant uncertainty and variability is being introduced into power grid operation with the integration of large-scale renewable energy in power systems. All of these pose an enormous challenge to the operation control of power systems in China. For a long time, online static security analysis, as an important part of EMS (Energy Management System), has been an effective tool for power grid operation. However, it is increasingly difficult for traditional static security analysis in serial computing mode to be online applied in bulk power grids in China. A new practical parallel approach for online static security analysis is put forward in this paper. A multithread parallelism is introduced into contingency screening, detailed contingency evaluation and decision support for reducing the execution time. By employing the multithread technology, the hardware resources of multi-processor/multi-core computer can be fully used and the program can be speeded up effectively. The performance of the parallel static security analysis is demonstrated by tests on two large-scale power systems. The test results show that the proposed method can be online applied in real bulk power grids.

scholarly journals Situational awareness for distributed mobile robot teams under limited communication

2020 ◽  
Author(s):  
M. Kenzin ◽  
I. Bychkov ◽  
N. Maksimkin
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Situational Awareness ◽  
Autonomous Mobile Robots ◽  
Team Members ◽  
Basic Understanding ◽  
Agent Interaction ◽  
Cooperative Decision Making ◽  
High Level

A high level of team situational awareness is essential during complex, large-scale missions of autonomous mobile robots. When a situation appears that needs inter-agent interaction for cooperative decision-making, the basic understanding of the current conditions ought to be identical within the group. To achieve this requirement, all emergent information of acute importance must be promptly shared among team members. It is a non-trivial problem for large-sized and distributed robotic teams, especially under hard communication constraints. The problem considered in this paper is to nd an ecient emergency broadcasting strategy for search and survey operations of the robotic groups providing the fastest way for any agent to aware the remaining team in case of any unexpected changes. A number of simple ruled-based heuristics is proposed to treat the problem. The comparison between the suggested approaches is made regarding both the quality of the obtained solutions and the working speed.

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