학술논문

Research on the Deduction System of Panoramic Training with New Energy Involved in the Power Grid via Parallel Control
Document Type
Conference
Source
2023 China Automation Congress (CAC) Automation Congress (CAC), 2023 China. :2907-2911 Nov, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Training
Automation
Substations
Decision making
Buildings
Control systems
Power grids
new energy
the deduction system of panoramic training
parallel theory
Language
ISSN
2688-0938
Abstract
This paper aimed to propose a solution for deduction system of panoramic training, which can analog many kinds of complex situations in consideration of new energy involved in the power grid and provide the functions of simulation practice, wisdom deduction, as well as decision making reference. And then, to output intelligent reference solutions for the precise control of new energy involved in scenarios with high proportion under the new power system. We constructed a deduction system of panoramic training with new energy involved in the power grid by building cyber physical social system (CPSS). Besides, the ACP parallel intelligence theory has been used. Taking a training center of large scale as an example, first we discussed the shortcomings for current dispatching and control simulation training system for power grid and proposed the concept of the deduction system of panoramic training with new energy involved in the power grid via parallel control. After that, we introduced the construction of the system, which included the digital modeling of different substation, grid line, electrical source and so on. Following this, based on the ACP theory, intelligence deduction system with the function of virtual and real interaction had been built up. In the end, with a case analysis of a real training center, we provided the system design and implementation method, which confirmed the feasibility and practicability of the intelligence deduction system proposed in this paper.