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| 1 | Distributed Optimal Co-multi-microgrids Energy Management for Energy Internet显示文摘Unlike conventional power systems,the upcoming energy internet(EI) emphasizes comprehensive utilization of energy in the whole power system by coordinating multi-microgrids,which also brings new challenge for the energy management.To address this issue,this paper proposes a novel consensus-based distributed approach based on multi-agent framework to solve the energy management problem of the energy internet,which only requires local information exchange among neighboring agents.Correspondingly,two consensus algorithms are presented,one of which drives the incremental cost of each distributed generator(DG) converge to the state of the leader agent-energy router,and the other one is used to estimate the global power mismatch,which is a first-order average consensus algorithm modified by a correction term.In addition,in order to meet the supply-demand balance,an effective control strategy for the energy router is proposed to accurately calculate the power exchange between the microgrid and the main grid.Finally,simulation results within a 7-bus test system are provided to illustrate the effectiveness of the proposed approach. | Bonan Huang Yushuai Li Huaguang Zhang Qiuye Sun | 2016 | IEEE/CAA Journal of Automatica Sinica2016，3，4： | 12 |
| 2 | Emission Trading Based Optimal Scheduling Strategy of Energy Hub with Energy Storage and Integrated Electric Vehicles显示文摘This paper focuses on the optimal scheduling of the district energy system with multiple energy supply modes and flexible loads.For multi-energy system(MES),the energy hub(EH)model including energy storage system and integrated electric vehicle(EV)is established.Based on the model,the influence of pollutant trading market on total operation cost is analyzed,and the optimal scheduling strategy is further put forward to realize the minimum purchase cost and emission tax cost of the MES.Finally,this paper compares the economic benefit of the fixed mode and the response mode,and discusses the contribution of the energy storage device and the multi-energy complementary mode to energy utilization efficiency.The simulation results indicate that optimal scheduling strategy of the EH can coordinate various energy complementary modes reasonably.Meanwhile,the proposed strategy is able to improve the operation economy of the EH,and ensure the better response effect of the demand side.The sensitivity analysis demonstrates the impact of pollutant emission price change on emission reduction. | Yanhong Luo Xinwen Zhang Dongsheng Yang Qiuye Sun | 2020 | Journal of Modern Power Systems and Clean Energy2020，8，2： | 8 |
| 3 | From Independence to Interconnection--A Review of AI Technology Applied in Energy Systems显示文摘The development of diversified energy structures,distributed energy scheduling models and active participation ability of users,leads to a rapid movement toward energy system in which different energy carriers and systems interact together in a synergistic way.This energy development will face many challenges with the requirements of big data processing capability,professional skill,distributed collaboration and realtime monitoring for the energy system that demands an intelligent and flexible tool to realize the smart energy.Artificial intelligence(AI)technology has become a focus because of its better performance.This paper proposed a classification method that incorporates the intelligence of an independent energy unit(IEU)and the intelligence among interconnected energy units(IEUS)to review the development of AI technology in energy systems.The dominant structures of IEU can be considered from three aspects including perception,decision and implementation to study the optimal strategy for AI methods utilized in IEU.And considering the interaction relationship of IEUS,the AI applied for it can be described by the coordinated relationship and adversarial relationship problems to achieve consensus.By discussing the AI technologies and the potentials of AI in the energy system,some suggestions are presented to improve intelligent technologies for sustainable energy systems in the future. | Qiuye Sun Lingxiao Yang | 2019 | CSEE Journal of Power and Energy Systems2019，5，1： | 8 |
| 4 | Static output feedback stabilization for systems with time-varying delay based on a matrix transformation method显示文摘This paper is concerned with the problem of static output feedback stabilization for linear systems with time-varying delay. A novel controller design is proposed based on a matrix transformation method with a new equation condition, which can solve the controller gain more easily and avoid complicated calculations of the non-linear matrix inequality. Then, the corresponding criteria can be obtained by combining the matrix transformation method and the ideas of non-uniformly dividing delay interval, which can guarantee the asymptotic stability of the closed-loop systems and calculate the satisfactory controller gain. Finally, two numerical examples are provided to verify the effectiveness of the proposed design scheme. | LIU Zhen Wei ZHANG HuaGuang SUN QiuYe | 2015 | Science China(Information Sciences)2015，58，1： | 4 |
| 5 | A Smart Charging Algorithm Based on a Fast Charging Station Without Energy Storage System显示文摘With the growing popularity of electric vehicles(EV),there is an urgent demand to solve the stress placed on grids caused by the irregular and frequent access of EVs.The traditional direct current(DC)fast charging station(FCS)based on a photovoltaic(PV)system can effectively alleviate the stress of the grid and carbon emission,but the high cost of the energy storage system(ESS)and the under utilization of the grid-connected interlinking converters(GIC)are not very well addressed.In this paper,the DC FCS architecture based on a PV system and ESS-free is first proposed and employed to reduce the cost.Moreover,the proposed smart charging algorithm(SCA)can fully coordinate the source/load properties of the grid and EVs to achieve the maximum power output of the PV system and high utilization rate of GICs in the absence of ESS support for FCS.SCA contains a self-regulated algorithm(SRA)for EVs and a grid-regulated algorithm(GRA)for GICs.While the DC bus voltage change caused by power fluctuations does not exceed the set threshold,SRA readjusts the charging power of each EV through the status of the charging(SOC)feedback of the EV,which can ensure the power rebalancing of the FCS.The GRA would participate in the adjustment process once the DC bus voltage is beyond the set threshold range.Under the condition of ensuring the charging power of all EVs,a GRA based on adaptive droop control can improve the utilization rate of GICs.At last,the simulation and experimental results are provided to verify the effectiveness of the proposed SCA. | Qifu Cheng Lei Chen Qiuye Sun Rui Wang Dazhong Ma Dehao Qin | 2021 | CSEE Journal of Power and Energy Systems2021，7，4： | 2 |
| 6 | Adaptive Bidirectional Droop Control for Electric Vehicles Parking with Vehicle-to-grid Service in Microgrid显示文摘With the popularity of electric vehicles(EVs),a large number of EVs will become a burden to the future grid with arbitrary charging management.It is of vital significance to the control of the EVs charging and discharging state appropriately to enable the EVs to become friendly to the grid.Therefore,considering the potential for EVs seen as energy storage devices,this paper proposes a multiport DC-DC solid state transformer topology for bidirectional photovoltaic/battery-assisted EV parking lot with vehicle-to-grid service(V2G-PVBP).Relying on the energy storage function of EVs,V2G-PVBP is able to not only satisfy the normal requirements of EVs’owner,but also provide the function of load shifting and load regulation to the microgrid.In this paper,EVs are categorized into limited EV and freedom EV.Limited EVs are always kept in charging state and freedom EVs can take part in the load regulation of the microgrid.The proposed adaptive bidirectional droop control is designed for freedom EVs to make them autonomously charge or discharge with certain power which according to each EV’s state of charge,battery capacity,leaving time,and other factors to maintain the stability of the future microgrid.Eventually,the simulation and experiment of the adaptive bidirectional droop control based V2G-PVBP are provided to prove the availability of V2G-PVBP. | Dehao Qin Qiuye Sun Rui Wang Dazhong Ma Menglin Liu | 2020 | CSEE Journal of Power and Energy Systems2020，6，4： | 2 |
| 7 | Modeling single-phase inverter and its decentralized coordinated control by using feedback linearization显示文摘 | Han Renke Sun Qiuye Ma Dazhong | 2014 | Mathematical Problems in Engineering2014，，58： | 1 |
| 8 | A network-based virtual slack bus model for energy conversion units in dynamic energy flow analysis显示文摘Integrated energy system(IES) is a viable route to “carbon peak and carbon neutral”. As the basis and cornerstone of economic operation and security of IES, energy flow calculation(EFC) has been widely studied. Traditional EFC focuses on the single or distributed slack bus models, which results in the lack of unlimited power to maintain system operation, especially for electric power grid working in islanded or coupled mode. To deal with this problem, this paper proposes a network-based virtual-slack bus(VSB) model in EFC. Firstly, considering the anticipated growth of energy conversion units(ECUs) with power adjustment capacity, the generators and ECUs are together modeled as a virtual slack bus model to reduce the concentrated power burden of IES. Based on this model, a power sensitivity method is designed to achieve the power sharing among the ECUs, where the power can be allocated adaptively based on the network conditions. Moreover, the method is helpful to maintain the voltage and pressure profile of IES. With these changes, a dynamic energy flow analysis including virtual slack bus types is extended for IES.It can realize the assessment of the system state. Finally, simulation studies illustrate the beneficial roles of the VSB model. | HUANG YuJia SUN QiuYe WANG Rui LIU GuangLiang | 2023 | Science China(Technological Sciences)2023，66，1： | 0 |
| 9 | ADP-based intelligent frequency control via adaptive virtual inertia emulation显示文摘This paper proposes a novel virtual inertia controller for converters in power systems,whichcan solve the system’s nonlinearity for frequency support.First,the system dynamics are formulatedas a nonlinear state-space,in which the reciprocal of inertia is modeled as controlinput.Correspondingly,a cost function is defined by considering frequency deviation andrate of change of the frequency,which can preserve a tradeoff between critical frequencylimits and respective control energy.Following,the optimal frequency regulation problemis solved by using an online adaptive dynamic programming method,where the actor andcritic neural networks are constructed to approximate the optimal control input and optimalcost function,respectively.After that,the small-signal analysis is provided to identify the stabilityof the converter under the proposed controller.Finally,simulation results verify thatthe frequency response of the system is significantly improved,while retaining more DC sideenergy. | Yi Zhang Qiuye Sun Jianguo Zhou Rui Wang Josep M.Guerrero Abderezak Lashab | 2023 | Journal of Control and Decision2023，10，3： | 0 |
| 10 | Containment-Based Multiple PCC Voltage Regulation Strategy for Communication Link and Sensor Faults显示文摘The distributed AC microgrid(MG) voltage restoration problem has been extensively studied. Still, many existing secondary voltage control strategies neglect the co-regulation of the voltage at the point of common coupling(PCC) in the AC multi-MG system(MMS). When an MMS consists of sub-MGs connected in series, power flow between the sub-MGs is not possible if the PCC voltage regulation relies on traditional consensus control objectives. In addition, communication faults and sensor faults are inevitable in the MMS. Therefore, a resilient voltage regulation strategy based on containment control is proposed.First, the feedback linearization technique allows us to deal with the nonlinear distributed generation(DG) dynamics, where the PCC regulation problem of an AC MG is transformed into an output feedback tracking problem for a linear multi-agent system(MAS) containing nonlinear dynamics. This process is an indispensable pre-processing in control algorithm design. Moreover, considering the unavailability of full-state measurements and the potential faults present in the sensors, a novel follower observer is designed to handle communication faults. Based on this, a controller based on containment control is designed to achieve voltage regulation. In regulating multiple PCC voltages to a reasonable upper and lower limit, a voltage difference exists between sub-MGs to achieve power flow. In addition, the secondary control algorithm avoids using global information of directed communication network and fault boundaries for communication link and sensor faults. Finally, the simulation results verify the performance of the proposed strategy. | Meina Zhai Qiuye Sun Rui Wang Huaguang Zhang | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，11： | 0 |
| 11 | A Distributed Self-Consistent Control Method for Electric Vehicles to Coordinate Low-Carbon Transportation and Energy显示文摘Dear Editor,In this letter, a distributed self-consistent control method to coordinate low-carbon transportation and energy is proposed to address the efficient utilization of regional transportation energy and renewable energy. Specifically, taking into account the coordinated development of transportation, power grids, and renewable energy, transportation energy self-consistent, including instant self-consistent rate and power self-consistent rate。 | Bowen Zhou Chao Xi Dongsheng Yang Qiuye Sun Huaguang Zhang | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，2： | 0 |
| 12 | Proportional Current Sharing Based on Periodic Dynamic Event-driven H_(∞) Consensus in DC Microgrids with Power Coupling显示文摘Although the proportional current sharing has been widely studied,the heterogeneous characteristic of the different interfaced converters and power coupling terms among distributed generators(DGs)are rarely considered.Therefore,this paper proposes a secondary H_(∞)consensus method with a periodic dynamic event-driven scheme for dc microgrids with power coupling to accomplish the precise proportional current-sharing.It is useful for reducing carbon.First,a generalized converter is constructed through equivalent transformation between rectifier and boost converter.Moreover,the heterogeneous characteristic of the interfaced converters regarding different DGs,such as wind and solar generators,is embedded into controller design.Furthermore,the standard linear heterogeneous multi-agent system with power coupling term is built.On this basis,the problem of proportional current sharing is modified into the output consistency problem of multi-agent systems.Furthermore,the H_(∞)consensus approach is proposed to accomplish the precise proportional current sharing.Meanwhile,to shorten communication bandwidth,the periodic dynamic event-driven communication strategy is designed.Compared with traditional event-driven communication schemes,a lower communication frequency has been obtained through the proposed communication scheme.In addition,this communication scheme not only avoids Zeno-behavior,but also acquires the smallest sampling time interval.Finally,effectiveness of the proposed approach is verified by two test systems. | Rui Wang Qiuye Sun Lei Liu Li Zhang Peng Wang Huaguang Zhang | 2022 | CSEE Journal of Power and Energy Systems2022，8，6： | 0 |
| 13 | The Initial Guess Estimation Newton Method for Power Flow in Distribution Systems显示文摘With the increasing integration of distributed generations(DGs), there is a demand for DGs to play a more important role on the voltage regulation. Meanwhile, the high penetration of DGs could raise a technical problem that the distribution system may operate with bi-directional power flow, leading to the inadequacy of the traditional power flow. Considering this new scenario in distribution system power flow, the convergence theorem is proposed, which contributes to develop a novel selection method of the initial guess closed to the convergent solution.Moreover, to ensure the fast rate of power flow convergence, the theorem of the maximum iterations estimation is also proposed.Based on the two proposed theorems, an Initial Guess Estimation Newton method is proposed, considering different operational status of DGs and initial guess sensitivity simultaneously. Based on the standard node systems, Tongliao grid, and 69 system of USA, three simulation examples are provided to illustrate the effectiveness of the proposed method. | Qiuye Sun Ling Liu Dazhong Ma Huaguang Zhang | 2017 | IEEE/CAA Journal of Automatica Sinica2017，4，2： | 0 |
| 14 | Small-signal stability and robustness analysis for microgrids under time-constrained DoS attacks and a mitigation adaptive secondary control method显示文摘With the close integration of cyber and power systems,the consensus-based secondary frequency control in a microgrid is increasingly vulnerable to communication failures such as transmission delays and denial-of-service(DoS)attacks,which can affect the efficiency of frequency recovery in the secondary frequency control.Leveraging the small-signal model,this paper develops a novel cyber-physical system model to analyze the cross-layer effect of DoS attacks on microgrids.In this way,the cross-layer impact on the microgrid from the cyber system to the physical system can be convincingly analyzed.Based on the root approximation method,the tolerant saving time is designed for the microgrid as the index to evaluate the tolerance margin of the time-constrained DoS attack,and then the relationship between the margin and secondary control coefficients is found.A mitigation adaptive secondary control technique is proposed so that the attacked microgrid can dynamically tune the secondary control gain according to the saving time and tolerant saving time(TST).The simulation results show that although the microgrid with high secondary control gain has good dynamic robustness,its TST is low.In addition,the proposed adaptive secondary control system is significantly better than the traditional control system in terms of the stability performance of the microgrid under a DoS attack. | Qiuye SUN Bingyu WANG Xiaomeng FENG Shiyan HU | 2022 | Science China(Information Sciences)2022，65，6： | 0 |
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