Европейская академия естественных наук Hannover E.V.

Wei Hu

With the expanding scale of power grids around the world, the increasing voltage level, the wide access of high-proportion renewable energy sources, the increasingly complex mode of power grid AC/DC interconnection, and the sharp increase of controlled devices in the power system, coupled with the failure to analyze and utilize in-depth multi-source heterogeneous massive scheduling data, and the difficulty of the control mode to be refined and accurate, the existing power system analysis and control methods face great challenges. At present, the traditional power system analysis, scheduling and control methods have been unable to meet the needs of new power systems with special voltage AC/DC hybrid connection and multi-type energy access, and it is necessary to use emerging technologies such as big data and artificial intelligence and make full use of the multi-source heterogeneous massive data generated by the monitoring and measurement system during the power system operation to realize the intelligent analysis and judgment of the power grid operation status, and to independently provide optimization scheduling and control strategies for the operation of the grid, thus realizing the intelligent coordinated scheduling and control of the power system.

To meet the major needs of security-optimization-economic operation of power systems, targeting the scientific problems and key technologies of power system grid and sources coupling mechanism and intelligent coordinated operation under multi-factor and multi-spatio-temporal scales, Prof. Wei Hu actively carries out interdisciplinary and pioneering research. Prof. Wei Hu adopts artificial intelligence and big data technology, and carries out in-depth and detailed research on power grid and source online assessment system and coordination control methods, from the perspective of power grid and source coordination, and constructs a comprehensive research system of intelligent coordination and optimization control of power grid and source. Prof. Wei Hu has proposed new theories, models and methods to solve the problems of “multi-type power sources output, multi-spatio-temporal intelligent complementary coupling mechanism”, “intelligent analysis of grid security and stability based on big data”, “event-driven online assessment and optimization control of power grid and sources”, etc. The results effectively have enhanced the level of clean energy utilization and power system operation efficiency, ensure high-quality, safe and sustainable power supply, and have been applied in a number of key national projects.

As the person in charge, Prof. Wei Hu has presided over one project supported by the National Key Research and Development Program, one General Project and one Youth Project of the National Natural Science Foundation, one sub-project of the 863 National High Technology Research and Development Program, and one secondary sub-project of the 973 National Key Scientific Research Program; he has participated in one Major Project of the National Natural Science Foundation of China, two National Science and Technology Support Research Projects, and one 863 Program. Focusing on the research field of coordinated and optimal operation of power systems, in recent years (since 2015), he has published 18 papers in important journals (SCI) in this field, including the top journals in the field of energy Applied Energy (5 papers, IF: 11.446), Energy (1 paper, IF: 8.857), IEEE Trans. on Sustainable Energy (2 papers, IF: 8.31), IEEE Trans. on Power Systems (1 article, IF: 7.326); published 14 papers in the domestic core journals in the field (EI); published 40 EI international conference papers. The key technologies of breakthrough have been authorized 22 national invention patents and 13 software copyrights. The research achievements have won the second prize of the National Science and Technology Progress Award in 2017 (ranked 8), the only special gold medal at the Invention Exhibition in Nuremberg, Germany (iENA) in 2023 (ranked 1), the gold medal at the 45th International Exhibition of Inventions of Geneva in 2017 (ranked 1) and two gold medals at the 48th International Exhibition of Inventions of Geneva in 2021 (ranked 1), the second prize of the China Electrotechnical Society Science and Technology Progress Award in 2021 (ranked 1), the second prize of Wu Wenjun Artificial Intelligence Science and Technology Progress Award of Chinese Association for Artificial Intelligence in 2020 (ranked 1), the second prize of the China Electric Power Science and Technology Progress Award in 2020 (ranked 4); the first prize of the Sichuan Provincial Science and Technology Progress Award in 2020 (ranked 8, group ranked 1), and the Second Prize of Outstanding Paper of the Chinese Society for Electrical Engineering in 2020 and 2018, among others.

The main research fields, key technologies and innovations of Prof.Wei Hu are shown in Figure 1, and the academic achievements can be summarized in the following three aspects:

1. Multi-type power sources output, multi-spatio-temporal intelligent complementary coupling mechanism: to address the difficulties in consumption caused by the uncertainty of high-proportion renewable energy sources, a technological system that uses intelligent complementary coupling of multi-type power sources output to enhance system regulation and control capability has been established, and a complementary coupling optimization model and a fast solution method considering seasonal power supply have been put forward; an intelligent complementary coordination and control model of large-capacity energy storage and renewable energy power generation has been established, and an intelligent coordination and optimization control method under multi-spatio-temporal scale for multiple types of energy storage to improve renewable energy consumption capacity is proposed; at the same time, the research object is expanded from power storage in a narrow sense to energy storage in a broad sense, and it is the first time to use large-capacity medium-temperature phase-change heat storage to realize the thermoelectric decoupling of the joint coordination and optimization control of the electricity-storage-heat system. Four of the results have been published in the international high-impact factor journal Applied Energy, and have been awarded the second prize of the National Science and Technology Progress Award in 2017 and two gold medals of the International Exhibition of Inventions of Geneva. Prof. Wei Hu is in charge of project 1 of the National Key Research and Development Program 1.3, “Research on homogeneous coupling modeling and complementary characteristics of power sources of multiple heterogeneous energy resources”, and the project has successfully passed the performance review organized by the Ministry of Industry and Information Technology in 2021 (with the highest score within the group).
2. Intelligent analysis of grid security and stability based on big data: to address the increasing complexity of grid interconnection and the difficulty of adapting the traditional offline security and stability rules to the complex and changeable grid operation condition, the project introduces big data and artificial intelligence technology into the study of large power grid for the first time, and realizes the accurate identification of massive online data and intelligent identification of grid operation mode, and takes the lead in proposing an intelligent acquisition method of the grid’s dynamic security domains through data mining, and a new method of rapid assessment of post-fault transient stability by using deep learning. In 2020, the project passed the scientific and technological achievements appraisal organized by the Chinese Association for Artificial Intelligence, and the appraisal committee headed by Academician Zhou Xiaoxin unanimously agreed that the project has achieved a number of innovative results, and the whole project is at the international advanced level, among which, the power system transient stability assessment system of the electric power system based on deep learning and the dynamic security domain acquisition technology are at the international leading level. The project was awarded the second prize of Wu Wenjun Artificial Intelligence Science and Technology Progress Award of Chinese Association for Artificial Intelligence and the second prize of China Electric Power Science and Technology Progress Award in 2020.
3. Event-driven intelligent online assessment and optimization control of power grid and source: to address the lack of scientific monitoring and assessment of power grid and source operation condition and the difficulty to realize multi-objective optimization control of power grids, the first comprehensive system of indicators for intelligent online assessment of power grid and source has been established, which comprehensively assesses and analyzes from the three scales of objects, events and time, and a control model that accounts for the active-reactive coupling has been established. An intelligent optimization control method based on event-driven and hierarchical control mode with three-level coordination of system-equipment-protection has been proposed for the first time as well as a strategy of intelligent and active disconnection of the grid and optimization of grid-connection restoration under disaster conditions. In 2020, the project passed scientific and technological achievements appraisal organized by the China Electrotechnical Society, and the appraisal committee headed by Academician Cheng Shijie unanimously agreed that the project has achieved a number of innovative results, and the whole project is at the international leading level. The project was awarded the first prize of the Sichuan Provincial Science and Technology Progress Award in 2020 and the second prize of the China Electrotechnical Society Science and Technology Progress Award in 2021.

Applications of theoretical research results:

The above three innovative academic achievements have been widely applied in more than 20 electric power companies and gained fruitful results, such as State Grid Corporation of China, China Huaneng Group Corporation Limited, China Three Gorges Corporation, Inner Mongolia Power (Group) Co., LTD., Northeast Branch of State Grid Corporation of China, Central China Branch of State Grid Corporation of China, Southwest Branch of State Grid Corporation of China, Yalong River Hydropower Development Co., LTD., and Huanghe Hydropower Development Co., LTD., Liaoning Electric Power Company, Hubei Electric Power Company, Hunan Electric Power Company, Sichuan Electric Power Co

1. The research results of multi-type power sources output, multi-spatio-temporal intelligent complementary coupling are applied to the energy storage demonstration project of Liaoning Power Grid and Woniushi Wind Farm (5MW/10MWh all-vanadium flow battery, with the world's largest power/capacity), which realized closed-loop coordinated scheduling and control of the energy storage power station with other power sources and power grid for the first time. The demonstration project can reduce wind power curtailment by 3.6% per year and increase power generation by about 215 million kWh. The research results are applied to Inner Mongolia pumped storage-wind power system, increasing wind power generation by 1 billion kWh per year. The research results are applied to Qinghai wind-water-fire-storage multi-energy complementary system, and the actual renewable energy consumption increases by 1.954 billion kWh from January to June 2021, with an increase of 5.2%.
2. The research results of power system security and stability intelligent analysis and assessment technology have been promoted and applied in the State Power Dispatch and Control Center, the Northeast and Central China Branch of State Grid Corporation of China, the Dispatch and Control Center of the State Grid Hubei Electric Power Company, and a number of power plants, which can automatically find the weaknesses of the grid, intelligently extract key control objects, and intelligently give suggestions on grid stability control, improving the observability and controllability of the grid. It has produced significant economic and social benefits, with direct economic benefits of RMB 327 million and indirect economic benefits of RMB 332 million in three years, while saving 336,000 tons of coal and reducing carbon dioxide emissions by about 1,384,300 tons.
3. The research results of power system intelligent power grid and source coordination and optimization control technology have been implemented and applied in many power grids such as Central China Grid, Southwest China Grid, Hubei Grid, Hunan Grid, Chongqing Grid, Sichuan Grid, Liaoning Grid, Inner Mongolia Grid, etc., and realized two advanced applications of online evaluation of the operation parameters of power grid and source and intelligent coordination control, and it provided a powerful unified management, intelligent analysis and decision-making tool for the coordinated operation of power sources and grids; by reducing the grid loss rate, the project has saved 1.49 billion kWh of electricity in five years, and generated a direct economic benefit of RMB 745 million for corporations that applied the results; it has improved the power generation efficiency of thermal power generating units, and increased the economic benefits of power plants by reducing coal consumption, saving 8 million tons of coal in five years, reducing RMB 6.4 billion of power generation costs, and reducing 32 million tons of carbon dioxide emissions; it has improved the utilization efficiency of water resources and reduced electricity purchasing costs for power grid corporations by about RMB 929 million.

 

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