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11. The Concept of the Deep Learning-Based System 'Artificial Dispatcher' to Power System Control and Dispatch

Author

Tomin, Nikita, Kurbatsky, Victor, and Negnevitsky, Michael

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Learning, Statistics - Machine Learning
Abstract

Year by year control of normal and emergency conditions of up-to-date power systems becomes an increasingly complicated problem. With the increasing complexity the existing control system of power system conditions which includes operative actions of the dispatcher and work of special automatic devices proves to be insufficiently effective more and more frequently, which raises risks of dangerous and emergency conditions in power systems. The paper is aimed at compensating for the shortcomings of man (a cognitive barrier, exposure to stresses and so on) and automatic devices by combining their strong points, i.e. the dispatcher's intelligence and the speed of automatic devices by virtue of development of the intelligent system "Artificial dispatcher" on the basis of deep machine learning technology. For realization of the system "Artificial dispatcher" in addition to deep learning it is planned to attract the game theory approaches to formalize work of the up-to-date power system as a game problem. The "gain" for "Artificial dispatcher" will consist in bringing in a power system in the normal steady-state or post-emergency conditions by means of the required control actions.

Published
2018

48. Analysis of Wave Energy Conversion for Optimal Generator Sizing and Hybrid System Integration

Author

Gao, Qiang, Ertugrul, Nesimi, Ding, Boyin, Negnevitsky, Michael, and Soong, Wen L.

Abstract

The effective integration of offshore wind and wave energy is highly challenging due to their distinct intermittency characteristics. The power take-off (PTO) level power smoothing in the wave energy converter (WEC) is needed to reduce its power variations and optimize the generator and associated converter sizing. However, there is a lack of understanding of the impact of mechanical storage systems at the PTO on the WEC operation; hence, a guide on the selection of the electrical generator rating under a wide range of wave climates is missing. This article addresses these research gaps by using a representative point absorber WEC with a hydraulic PTO system. A general method of selecting the optimum generation system rating is proposed from the technical and economic viewpoints. In addition, the impacts of two mechanical storage systems (added inertia and gas accumulator) on WEC system efficiency and availability are investigated under four distinct levels of practical wave climates (399 sea states). It is shown that both mechanical storage methods can effectively reduce the generator ratings but their impacts vary under different wave climates. It is also concluded that the storage systems have limited impact on the optimal generator ratings, while wave specifications at various sea locations present a greater impact.

Published
2024
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49. A design optimization study of an air-cooling battery thermal management system for electric vehicles.

Author

Zhao, Gang, Wang, Xiaolin, Negnevitsky, Michael, and Zhang, Hengyun

Abstract

Air cooling is a highly cost-effective method for the battery thermal management systems due to its simple structure, high reliability and low maintenance cost. Different from other designs of only a single inlet/outlet structure in the literature, an air-cooling battery thermal management system with multiple inlets/outlets design was proposed in this paper. The effects of inlet/outlet positions and dimensions on the air-cooling battery thermal management system performance were thoroughly evaluated and compared. The optimal inlet/outlet position and dimension were identified based on the maximum battery temperature and the temperature uniformity in the air cooling field. The results showed that the symmetrical double inlets/outlets design (Design 4) delivered the top temperature uniformity with the lowest energy consumption. During 1C discharging at 2 m/s inlet airflow, the maximum temperature and temperature difference of the Design 4 were 1.01 K and 2.24 K lower than those of the basic Design 0 in addition to a pressure difference reduction of 7.85 Pa. Based on the optimal Design 4, 0.03 m outlet width could further reduce the maximum temperature and temperature difference by 0.47 K and 0.28 K than the worst 0.05 m design. Furthermore, 52 additional simulations under different operating conditions had proven that the superb cooling performance of the optimal design during mild discharging operations (0.5–1C). [ABSTRACT FROM AUTHOR]

Published
2023
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