九州大学 研究者情報
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NGUYEN DINH HOA(ゲエン ディン ホア) データ更新日:2022.02.21



主な研究テーマ
Decentralized/Distributed Control and Optimization of Energy Systems for Integration of Distributed Renewable Energy Resources
キーワード:Control System, Multi-Agent Systems, Smart Grid, Complex Network, Control and Optimization of Energy Systems
2015.01~2018.07.
従事しているプロジェクト研究
Decentralized control and optimization approaches towards a direct energy sharing and trading economy
2018.04~2019.03, 代表者:Hoa Dinh Nguyen, Kyushu University, Kyushu University Platform of Inter-/Trans-disciplinary Energy Research
This research studies a novel bottom-up approach called direct energy sharing and trading (DEST) in which power is generated from renewable sources located at or very near to end-users, which is directly shared and traded between them. Thus, it is expected that energy losses are significantly reduced, and much more renewable energy is integrated while avoding effects to grid, e.g. frequency variation,or net load steep ramps. Hence, the energy efficiency and security are enhanced. Further, new business models can be created from this new DEST system. Tools from control engineering, power engineering, optimization, and complex network are used to resolve the problems of direct coordination and trading in the DEST system..
System Theory for Harmonized Power System Control Based on Photovoltaic Power Prediction (HARPS), JST CREST Strategic Basic Research Project, Azuma Group
2017.09~2022.07, 代表者:Shun-ichi Azuma, Nagoya University.
Distributed Grid Optimization with Renewable Generation
2017.04~2018.07, 代表者:Nguyen Dinh Hoa, International Institute for Carbon Neutral Energy Research, Kyushu University , International Institute for Carbon Neutral Energy Research, Kyushu University, Japan.
研究業績
主要原著論文
1. Dinh Hoa Nguyen, Electric Vehicle – Wireless Charging-Discharging Lane Decentralized Peer-to-Peer Energy Trading, IEEE Access, 10.1109/ACCESS.2020.3027832, 8, 179616-179625, 2020.09, [URL], This paper investigates the problem of bidirectional energy exchange between electric vehicles (EVs) and road lanes embedded with wireless power transfer technologies called wireless charging-discharging lanes (WCDLs). As such, EVs could provide better services to the grid, especially for balancing the energy supply-demand, while bringing convenience for EV users, because no cables and EV stops are needed. To enable this EV–WCDL energy exchange, a novel decentralized peer-to-peer (P2P) trading mechanism is proposed, in which EVs directly negotiate with a WCDL to reach consensus on the energy price and amounts to be traded. Those energy price and amounts are solutions of an optimization problem aiming at optimizing private cost functions of EVs and WCDL. The negotiation process between EVs and WCDL is secured by a privacy-preserving consensus protocol. Further, to assure successful trading with desired energy price and amounts, an analytical and systematic method is proposed to select cost function parameters by EVs and WCDL in a decentralized manner. Simulations are then carried out to validate the developed theoretical results, which confirm the effectiveness and scalability of the proposed algorithm..
2. Dinh Hoa Nguyen, Tatsumi Ishihara, Distributed Peer-to-Peer Energy Trading for Residential Fuel Cell Combined Heat and Power Systems", International Journal of Electrical Power and Energy Systems, International Journal of Electrical Power and Energy Systems, 10.1016/j.ijepes.2020.106533, 2021.02, [URL], This paper studies the optimal energy management in a group of dwellings having micro fuel cell combined heat and power systems. To increase the self-sufficiency and resilience of such local community, a P2P energy trading system between dwellings is proposed in which output powers from fuel cells working under their rated powers can be sold to those already reach their rated outputs but still lack powers. The arising optimization problem from this optimal P2P energy trading system is non-convex due to the nonlinear dependence of power and heat efficiencies on fuel cell output power. Therefore, a linearization method is proposed to convexify the problem. Consequently, a distributed ADMM approach is introduced to solve the convexified optimization problem in parallel at each dwelling. A case study for a group of six dwellings based on realistic electric consumption data is then presented to demonstrate the proposed approach performance and positive impacts of the P2P energy trading system. More specifically, the proposed distributed ADMM approach is reasonably fast in convergence and is scalable well with system size. In addition, P2P electricity trading system helps operate fuel cells at a higher efficiency and increase the self-sufficiency of such dwellings..
3. Dinh Hoa Nguyen, Optimal Solution Analysis and Decentralized Mechanisms for Peer-to-Peer Energy Markets, IEEE Transactions on Power Systems, 10.1109/TPWRS.2020.3021474 , 2020.09, [URL], This paper studies the optimal clearing problem for prosumers in peer-to-peer (P2P) energy markets. It is proved that if no trade weights are enforced and the communication structure between successfully traded peers is connected, then the optimal clearing price and total traded powers in P2P market are the same with that in the pool-based market. However, if such communication structure is unconnected, then the P2P market is clustered into smaller P2P markets. If the trade weights are imposed, then the derived P2P market solutions can be significantly changed. Next, a novel decentralized optimization approach is proposed to derive a trading mechanism for P2P markets, based on the alternating direction method of multipliers (ADMM) which naturally fits into the bidirectional trading in P2P energy systems and converges reasonably fast. Analytical formulas of variable updates reveal insightful relations for each pair of prosumers on their individually traded prices and powers with their total traded powers. Further, based on those formulas, decentralized learning schemes for tuning parameters of prosumers cost functions are proposed to attain successful trading with total traded power amount as desired. Case studies on a synthetic system and the IEEE European Low Voltage Test Feeder are then carried out to verify the proposed approaches. .
4. Dinh Hoa Nguyen, A Novel Optimization Model for Integrating Carbon Constraint with Demand Response and Real-time Pricing, International Journal of Mathematics for Industry, 10.1142/S2661335220500057, 2020.07, [URL], Since the global warming recently becomes more severe that causes many serious changes on the weather, economy, and society world-wide, lots of efforts have been put forward to prevent it. As one of the most important energy sectors, electric power grid needs to improve itself to ad-dress the challenge of suppressing the carbon emission during electric generation especially that utilizes fossil-based fuels, whilst increasing the use of renewable and clean sources. This paper hence presents a novel optimization model for tackling the problems of optimal power scheduling and real-time pricing in presence of a carbon constraint while taking into account a demand response possibility, which may provide a helpful method to limit the carbon emission from conventional generation while promoting renewable generation.The keys here are to explicitly integrate the cost of emission to the total generation cost of conventional generation and to combine with the consumer satisfaction function. As such, conventional generation units must carefully schedule their power generation for their profits, while consumers, with the help from renewable energy sources, are willing to adjust their consumption to change the peak demand. Overall, a set of compromised solution called the Pareto front is derived upon which the conventional generating units choose their optimal generation profile to satisfy a given carbon constraint..
5. Thinh Thanh Doan, Subhonmesh Bose, Hoa Dinh Nguyen, Carolyn L. Beck, Convergence of the Iterates in Mirror Descent Methods, IEEE Control Systems Letters, 10.1109/LCSYS.2018.2854889, 3, 1, 114-119, 2019.01, We consider centralized and distributed mirror descent (MD) algorithms over a finite-dimensional Hilbert space, and prove that the problem variables converge to an optimizer of a possibly nonsmooth function when the step sizes are square summable but not summable. Prior literature has focused on the convergence of the function value to its optimum. However, applications from distributed optimization and learning in games require the convergence of the variables to an optimizer, which is generally not guaranteed without assuming strong convexity of the objective function. We provide numerical simulations comparing entropic MD and standard subgradient methods for the robust regression problem..
6. Javad Khazaei, Dinh Hoa Nguyen, Distributed Consensus for Output Power Regulation of DFIGs With On-Site Energy Storage, IEEE Transactions on Energy Conversion, 10.1109/TEC.2018.2871575, 34, 2, 1043-1051, 2019.06, [URL], This paper proposes a novel distributed control architecture for output power regulation of doubly fed induction generator (DFIG) based wind turbines (WTs) with on-site battery energy storage systems (BESSs). The proposed distributed control architecture receives information from adjacent WTs+BESSs to control the DFIG's grid side converter (GSC) and the storage unit for output active/reactive power regulation and energy management purposes. The proposed method guarantees the equal active power sharing and energy management of WTs+BESSs in various wind speed conditions. A distributed controller is also designed to respond to the reactive power demand and share the reactive load demand between the GSC and BESS controllers based on their capacities. Furthermore, a controller is designed to account for the communication delays caused by the communication systems based on the IEEE standards. The proposed method is tested on the modified IEEE 14-bus power system with 10 WTs+BESSs..
7. Hoa Dinh Nguyen, Javad Khazaei, Multi-Agent Time-Delayed Fast Consensus Design for Distributed Battery Energy Storage Systems, IEEE Transactions on Sustainable Energy, 10.1109/TSTE.2017.2785311, 9, 3, 1397-1406, 2017.12, This paper proposes a novel distributed control architecture for synchronization of the active/reactive power sharing, energy levels, frequency/voltage of distributed battery energy storage systems (BESSs) using inter-BESS communications. The local information of each BESS is exchanged with a few other neighboring BESSs to achieve a consensus. The consensus speed is significantly improved by introducing an inner control loop for energy levels. The droop frequency/voltage control is also added to regulate the active/reactive power sharing and the frequency/voltage of BESSs. Furthermore, self delays and communication delays are explicitly considered in the design. As a result, the derived consensus algorithms are fully distributed with fast consensus speed in both contexts of nonexistence and existence of time delays, which have not been addressed in the existing research for BESSs. To validate the design, several simulation case studies are carried out..
8. Dinh Hoa Nguyen, Andrew Chapman, Hadi Farabi-Asl, Nation-wide emission trading model for economically feasible carbon reduction in Japan, Applied Energy, 10.1016/j.apenergy.2019.113869, 255, 2019.12, [URL], The issue of climate change and the development of international agreements around carbon targets such as the Paris agreement have engendered the prospect of a carbon constrained future. As a result, individual nations who are signatory to the Paris Agreement have developed ambitious carbon reduction targets in order to restrict temperature rises to two degrees Celsius compared to pre-industrial levels. To achieve these ambitious goals, nations have a variety of policy approaches at their disposal including feed in tariffs, fossil fuel restrictions, carbon capture and storage, renewable portfolio standards and carbon trading regimes. This study investigates carbon trading, and, using Japan as a case study assesses the economic feasibility and environmental efficiency of a carbon trading scheme underpinned by renewable energy deployment. The model employed uses an optimization approach, cognizant of technological, geographic and economic constraints. Findings identify that such an approach incorporating the 47 prefectures of Japan could engender a 42% reduction in emissions without resilience constraints and 34% incorporating a best-mix, resilient approach. Both approaches prove feasible at moderate carbon prices, considering international norms. The findings underpin policy implications for a future national Japanese emission trading scheme to improve previous single prefecture attempts which did not engender carbon trading..
9. Dinh Hoa Nguyen, Shun Ichi Azuma, Toshiharu Sugie, Novel control approaches for demand response with real-time pricing using parallel and distributed consensus-based ADMM, IEEE Transactions on Industrial Electronics, 10.1109/TIE.2018.2881938, 66, 10, 7935-7945, 2019.10, [URL], This paper studies the automated demand response (DR) problem in smart grids equipped with information and communication technology networks, where power generating and consuming units can exchange information as a multiagent system (MAS), and a real-time pricing (RTP) scheme is proposed. When the communication graph among agents is connected, a novel parallel and distributed consensus-based algorithm is proposed to derive an RTP scheme to facilitate DR, and when communication uncertainties exist, a robust consensus algorithm is proposed to cease the effect of uncertainties. Next, this paper proposes a novel control mechanism to tackle the problem of disconnected communication among agents, e.g., under cyber-attacks, by employing the so-called mixed communication-broadcast control architecture where the underlying ideas are twofold. First, each area in the grid associated with a connected subgraph is controlled by a MAS to guarantee the power balance and to reach consensus on the local electric price for that area. Second, a supervisory unit observes those local electric prices to calculate the global electric price for the whole grid and then broadcasts to all units so that they can properly adjust their output powers. Simulations are carried out on the IEEE 39-bus system to validate the proposed control mechanisms..
10. Hoa Dinh Nguyen, Tatsuo Narikiyo, Michihiro Kawanish, Optimal Demand Response and Real-time Pricing by a Sequential Distributed Consensus-based ADMM Approach, IEEE Transactions on Smart Grid, 10.1109/TSG.2017.2676179, 2017.03, This paper proposes a novel optimization model and a novel approach to derive new Demand Response and Real-time Pricing schemes for Smart Grid in which Renewable Energy and power losses are taken into account. In our proposed optimization model, a time-varying load constraint is introduced to better capture the consumption variation of customers and hence gives our approach an adaptive feature as well as facilitates Demand Response. Then our approach enables all generation and demand units to actively collaborate in a distributed manner to obtain the optimal electric price and their optimal power updates in real-time while achieving their best profits. To do so, the total welfare in the grid is maximized and the optimization problem is analytically solved using the Alternating Direction Method of Multipliers and consensus theory for Multi-agent Systems. Moreover, the power balance constraint is guaranteed in every iteration of the proposed algorithm. Next, the effects of Renewable Energy to conventional generation, consumer consumption, and electric price are theoretically revealed which show the essential role of Renewable Energy for peak load shifting. Finally, simulations on the IEEE 39-bus system are introduced to illustrate the effectiveness of the proposed approach..
11. Hoa Dinh Nguyen, Reduced-Order Distributed Consensus Controller Design via Edge Dynamics, IEEE Transactions on Automatic Control, 10.1109/TAC.2016.2554279, 62, 1, 475-480, 2017.01, [URL], This technical note proposes a novel approach to design fully distributed reduced-order consensus controllers for multi-agent systems (MASs) with identical general linear dynamics of agents. A new model namely edge dynamics representing the differences on connected agents' states is first presented. Then the distributed consensus controller design is shown to be equivalent to the synthesis of a distributed stabilizing controller for this edge dynamics. Consequently, based on LQR approach, the globally optimal and locally optimal distributed stabilizing controller designs are proposed, of which the locally optimal distributed stabilizing design for the edge dynamics results in a fully distributed consensus controller for the MAS with no conservative bound on the coupling strength. This approach is then further developed to obtain reduced-order distributed consensus controllers for linear MASs. Finally, a numerical example is introduced to demonstrate the theoretical results..
12. Hoa Dinh Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi, Robust consensus analysis and design under relative state constraints or uncertainties, IEEE Transactions on Automatic Control, 10.1109/TAC.2017.2752843, 63, 6, 1694-1700, 2018.06, [URL], This paper proposes a novel approach to analyze and design distributed robust consensus control algorithms for general linear leaderless multiagent systems (MASs) subjected to relative-state constraints or uncertainties represented by a locally or a globally sector-bounded condition. First, we show that the MAS robust consensus design under relative-state constraints or uncertainties is equivalent to the robust stability design under state constraints or uncertainties of a transformed MAS, which has lower dimensions. Next, the transformed MAS under state constraints or uncertainties is reformulated as a networked Lur'e system. By employing the S-procedure and Lyapunov theory, sufficient conditions for robust consensus and the designs of robust consensus controller gain are derived from solutions of distributed linear matrix inequality (LMI) convex problems. Finally, numerical examples are introduced to illustrate the effectiveness of the proposed theoretical approach..
主要学会発表等
その他の優れた研究業績
2018.02, Invited Talk, "Distributed Control and Optimization with Applications in Electric Power Grids", Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Illinois, USA, 6 Feb 2018 .
2017.10, Invited Speaker, "A novel optimization model for integrating carbon constraint with demand response and real-time pricing", Forum Math for Industry 2017 (FMfI 2017), Hawaii, USA .
2017.05, Invited Lecture, "Distributed Optimization and Control for Smart Grid: Basic Ideas and Examples", Graduate Sub-Program in Electrical Engineering and Energy for Improvement of Practical Abilities and Future Preparation – MEXT Program for Promoting Inter-University Collaborative Education, Kyushu University, 25/5/2017..
2017.03, Presentation, "Modeling Challenges for Renewable Energy", Waseda University.
2017.03, Presentation, "A Distributed Approach for Demand Response and Real-time Pricing", Waseda University.
2017.03, Presentation, "Modeling Challenges for Renewable Energy", Department of Mechanical Engineering, Kyoto University.
2017.03, Presentation, "A Distributed Approach for Demand Response and Real-time Pricing", Department of Mechanical Engineering, Kyoto University.
2017.02, Invited Talk, "Energy Systems: Challenges and Opportunities for Control Engineering", EE Gewertz's Talk, Department of Electrical Engineering, Chulalongkorn University, 2017..
学会活動
所属学会名
IEEE Power and Energy Society
IEEE Smart Grid Community
IEEE Control System Society
学会大会・会議・シンポジウム等における役割
2021.01~2021.01.25, The 2021 2nd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP 2021), International Program Chairs.
2020.01~2020.12.25, 2020 7th International Conference on Power and Energy Systems Engineering (CPESE 2020), International Technical Committee.
2020.01~2020.12.25, International Conference on Control, Decision and Information Technologies (IEEE CoDIT), International Program Committee.
2021.01.28~2021.01.28, 2020 I2CNER-IMI Joint International Workshop on Applied Math for Energy, Organizer and Chair.
2020.07~2020.07.25, IFAC World Congress 2020, Session Chair (Coordination of Multiple Vehicle Systems).
2019.12.11~2019.12.13, 2019 58th IEEE Conference on Decision and Control (58th IEEE CDC 2019), Chair - Distributed Control III.
2019.10.14~2019.10.17, 2019 IEEE Vehicle Power and Propulsion Conference (IEEE VPPC 2019), Chair - Special Session 6 on 'Multi Agent System in Vehicle and Energy Related Problems'.
2019.10.14~2019.10.17, 2019 IEEE Vehicle Power and Propulsion Conference (IEEE VPPC 2019), Organizer - Special Session 6 on 'Multi Agent System in Vehicle and Energy Related Problems'.
2019.06.11~2019.06.11, 2019 Asian Control Conference (ASCC 2019), Session Chair - Cooperative Control I.
2019.06.11~2019.06.11, 2019 Asian Control Conference (ASCC 2019), Session Chair - Identification and Estimation II.
2019.04.23~2019.04.26, 6th International Conference on Control, Decision and Information Technologies (CoDIT), 2019, International Program Committee.
2019.03.30~2019.04.02, 2019 International Conference on Smart Science, Editorial Board and Technical Committee Members.
2019.02.01~2019.02.01, 2019 I2CNER International Workshop on Applied Math for Energy, Organizer.
2017.08.24~2017.08.24, IEEE Conference on Control Technology and Applications (IEEE CCTA) 2017, Session Chair.
2016.09~2016.09.25, 2016 SICE Annual Conference, Session Chair.
2016.11~2016.11.25, The 4th IEEE International Conference on Sustainable Energy Technologies 2016, Session Chair.
2016.09~2016.09, 2016 Innovative Smart Grid Technologies-Asia Conference (ISGT-Asia), Session Chair.
学会誌・雑誌・著書の編集への参加状況
2020.10~2031.12, Sustainability, MDPI, 国際, 編集委員.
2021.03~2021.12, Sustainability, MDPI, 国際, 編集委員.
2020.09~2021.06, Frontiers in Energy Research, 国際, 編集委員.
2018.05~2030.05, Smart Science Journal, Taylor and Francis , 国際, Editorial Board Member.
2018.07~2018.07, Journal of Science and Technology - Vietnam Academy of Science and Technology, 国内, 査読委員.
2018.07~2018.07, Mathematical Problems in Engineering, 国際, 査読委員.
2018.07~2018.07, SAGE Transactions of the Institute of Measurement and Control, 国際, 査読委員.
2018.07~2018.07, Asian Journal of Control, 国際, 査読委員.
2018.07~2018.07, Neurocomputing, 国際, 査読委員.
2018.07~2018.07, European Journal of Control, 国際, 査読委員.
2018.07~2018.07, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 国際, 査読委員.
2018.07~2018.07, IEEE Transactions on Cybernetics, 国際, 査読委員.
2018.07~2018.07, IEEE Transactions on Industrial Electronics, 国際, 査読委員.
2018.07~2018.07, IEEE Transactions on Smart Grid, 国際, 査読委員.
2018.07~2018.07, IEEE Transactions on Control of Network Systems, 国際, 査読委員.
2018.07~2018.07, Automatica, 国際, 査読委員.
2018.07~2018.07, IEEE Transactions on Power Systems, 国際, 査読委員.
2018.07~2018.07, IEEE Transactions on Automatic Control, 国際, 査読委員.
2018.07~2018.07, Applied Energy, 国際, 査読委員.
2018.07~2028.07, Smart Science Journal, Taylor and Francis, 国際, Editorial Board Member.
学術論文等の審査
年度 外国語雑誌査読論文数 日本語雑誌査読論文数 国際会議録査読論文数 国内会議録査読論文数 合計
2017年度      
2018年度      
その他の研究活動
海外渡航状況, 海外での教育研究歴
Chulalongkorn University, Thailand, 2017.02~2017.02.
University of Illinois at Urbana-Champaign, UnitedStatesofAmerica, 2017.10~2018.03.
外国人研究者等の受入れ状況
2019.06~2019.12, 1ヶ月以上, Chulalongkorn University, Thailand, Vietnam, 政府関係機関.
2018.09~2018.12, 1ヶ月以上, Hanoi University of Science and Technology, Vietnam, Vietnam, Honda Foundation.
受賞
Masao Horiba Awards, Horiba Ltd., 2019.07.
Best Paper Award - 2nd Prize, IEEE Power and Energy Society Generation, Transmission, and Distribution Grand International Conference and Exposition Asia 2019 (IEEE PES GTD Asia 2019), 2019.03.
Outstanding Reviewer Award, Applied Energy Journal, 2018.12.
Outstanding Reviewer Award, European Journal of Control, 2017.12.
Best Paper Award, 2018 9th International Conference on Science and Engineering, 2018.12.
Best Presentation Award, 2018 5th International Conference on Power and Energy Systems Engineering (CPESE 2018), 2018.09.
Best Section Presentation Award, The 4th IEEE International Conference on Sustainable Energy Technologies, 2016.11.
IEEE Control Systems Society Travel Support, Control Systems Society, The Institute of Electrical and Electronics Engineers (IEEE), 2009.08.
International Scholarship, The Society of Instrument and Control Engineers (SICE), Japan, 2009.09.
研究資金
科学研究費補助金の採択状況(文部科学省、日本学術振興会)
2019年度~2022年度, 若手研究, 代表, Distributed Control and Optimization for Networked Energy Resources with Limited Capacity Towards Autonomous Peer-to-Peer Microgrids.
寄附金の受入状況
2020年度, Horiba Ltd. , Masao Horiba Awards.
2019年度, Horiba Ltd., Masao Horiba Awards.
学内資金・基金等への採択状況
2018年度~2018年度, Platform of Inter/Transdisciplinary Energy (Q-Pit) Research Support Program for Young Researchers, 代表, Decentralized control and optimization approaches towards a direct energy sharing and trading economy.
2017年度~2017年度, QR Program, Kyushu University, 代表, Distributed Consensus Control for Electric Power Grids based on Multi-Agent System Theory.

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