With the implementation of our country's marine strategy and the steady progress of deepwater oil and gas field development, underwater production systems are receiving increasing attention. The underwater power s...
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Economic scheduling is an important solution to improve the operational efficiency of integrated energy system (IES). Active power is the majority being considered in economic scheduling, ignoring the influence of var...
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Economic scheduling is an important solution to improve the operational efficiency of integrated energy system (IES). Active power is the majority being considered in economic scheduling, ignoring the influence of var-voltage effect on scheduling. In this article, an agent-based var-voltage control (VVC) capability is developed, and integrated in the economic scheduling modeling of IES. First, we build the VVC agent model based on the Markov decision process, and the economic scheduling model of IES is built with the decision function of the VVC agent as a constraint. Then, because the decision function is highly nonconvex and nonlinear, a deep learning enabled surrogate model is proposed to solve the scheduling problem. In the surrogate model, we train a pooling multilayer perception (P-MLP) to fit the mapping relationship between scheduling and maximum voltage deviation under VVC. And the trained P-MLP is used to surrogate the decision function constraint. After surrogating, the scheduling problem is transformed into a mixed integer programming problem, which can be solved directly by calling the solver. Finally, the effectiveness and accuracy of the proposed method are tested by cases. The results show that the scheduling integrated with the VVC capability model can strictly meet safety constraints and reduce the operation cost of IES as well.
Stepper motors have gained widespread popularity for their precision and ease of control in various industrial applications. With the integration of the Internet of Things (IoT), it has become possible to remotely con...
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Digital twin is a valuable tool for the active training of engineers at both academic and professional levels. This is even more important if learners can experience any safe or unsafe scenarios on the safe environmen...
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ISBN:
(纸本)9781665444347
Digital twin is a valuable tool for the active training of engineers at both academic and professional levels. This is even more important if learners can experience any safe or unsafe scenarios on the safe environment of an accurate simulator combined with the systematic collaborative applications. This paper introduces a learning platform that is designed in compliance with ISO 10015 to be used following the individual initiatives or organizational competency management programs. The curriculum addresses the needs and expectations of Industry 4.0 engineers who should master not only the specialized subjects relevant to their discipline but also have a good grasp on system thinking, system engineering and complexity management skills. This active learning platform is called ADEPP Skill 4.0 and provides collaborative learning workspaces on a web-based operator training simulator (OTS) which interoperate with the SharePoint application.
This paper experimentally investigates the influence of pump power, injection power and modulation frequency on the pulse of an actively Q-modulated laser. The number of pulses increases with increasing pump power in ...
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Manual detection of fabric defects in textile industry is a cumbersome & fatigue job and quite often prone to error, henceforth there is a need for programmed defect detection as part of quality control process. F...
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For real-time signal processing radar system, this paper designs and develops a radar transceiver control unit with high-speed real-time processing. The control unit is designed based on FPGA(Field Programmable Gate A...
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Artificial intelligence (AI) is the process by which human-designed systems analyse available data and make judgements based on predetermined criteria in order to accomplish particular objectives. The incorporation of...
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Object model reconstruction plays a vital role in enabling robotic tasks, such as grasping and human-robot collaboration technology. However, the reconstruction methods based on single-view images lack depth informati...
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There are many opportunities and advantages that cloud computing adoption can bring to the healthcare field, as experts believe that it can help improve the level of healthcare services significantly and contribute to...
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