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团队负责人

负责人:徐箭

团队主要成员

主要成员:孙元章、姚良忠、杨军、张俊、柯德平、廖思阳、黎雄、彭晓涛、阿部、李蕊

团队研究方向

1.新型电力系统运行与控制
2.柔性负荷调度与控制
3.综合能源系统建模、分析、运行与控制
4.人工智能及其在电力系统的应用
5.电力物联网技术

团队代表性成果

参编专著及行业标准:
1.《工业负荷建模、控制及电网互动调节》科学出版社
2.《高比例可再生能源电力系统运行优化》科学出版社
3.中电联标准:电力需求响应信息模型——第8部分:电解铝(报批稿)
4.中电联标准:电力需求响应信息模型——第9部分:电弧炉(报批稿)
5.国家能源局:可调节负荷并网运行与控制技术规范——第8部分:安全稳定控制
6.国家能源局:可调节负荷并网运行与控制技术规范——第9部分:调度信息通信

获奖:
1.教育部技术发明奖二等奖,新型电力系统直控式负荷多层级协同调控关键技术创新与应用,2022.
2.中国电力技术发明奖二等奖,新型电力系统直控式负荷多层级协同调控关键技术及系统装备,2022.
3.教育部技术发明奖二等奖,实现大规模风电就地消纳的电网运行与控制关键技术,2018.
4.湖北省技术发明奖一等奖,基于广域信息的电力系统动态监测与控制关键技术及应用,2015.
5.贵州省科技进步奖二等奖,广域监测与控制技术研究及其在贵州电网实践,2015.

论文:
1.Xu J, Xie B, Liao S, et al. CVR based Real-time Power Fluctuation Smoothing Control for Distribution Systems with High Penetration of PV and Experimental Demonstration[J]. IEEE Transactions on Smart Grid, 2022, 13(5): 3619-3635.
2.Xu J, Xie B, Liao S, et al. Online assessment of conservation voltage reduction effects with micro-perturbation[J]. IEEE Transactions on Smart Grid, 2020, 12(3): 2224-2238.
3.Ke D, Chung C Y, Xu J, et al. Inertia emulation uncorrelated with electromechanical dynamics to improve frequency transients using center of inertia (COI) frequency signal[J]. IEEE Transactions on Power Systems, 2020, 36(3): 1736-1749.
4.Wei C, Xu J, Liao S, et al. Aggregation and scheduling models for electric vehicles in distribution networks considering power fluctuations and load rebound[J]. IEEE Transactions on Sustainable Energy, 2020, 11(4): 2755-2764.
5.Xu J, Lan T, Liao S, et al. A coordinated marginal current control method for LCC-HVDC[J]. IEEE Transactions on Power Systems, 2019, 34(6): 4569-4582.
6.Tang C, Xu J, Tan Y, et al. Lagrangian relaxation with incremental proximal method for economic dispatch with large numbers of wind power scenarios[J]. IEEE Transactions on Power Systems, 2019, 34(4): 2685-2695.
7.Tang C, Xu J, Sun Y, et al. Look-Ahead Economic Dispatch With Adjustable Confidence Interval Based on a Truncated Versatile Distribution Model for Wind Power[J]. IEEE Transactions on Power Systems, 2018, 33(2): 1755-1767.
8.Liao S,  Xu J, Sun Y, et al. Control of Energy-Intensive Load for Power Smoothing in Wind Power Plants[J]. IEEE Transactions on Power Systems, 2018, 33(6): 6142-6154.
9.Bao Y, Xu J, Liao S, et al. Field verification of frequency control by energy-intensive loads for isolated power systems with high penetration of wind power[J]. IEEE Transactions on Power Systems, 2018, 33(6): 6098-6108.
10.Zhang C, Ke D, Sun Y, et al. Coordinated Supplementary Damping Control of DFIG and PSS to Suppress Inter-Area Oscillations With Optimally Controlled Plant Dynamics[J]. IEEE Transactions on Sustainable Energy, 2018, 9(2): 780-791.
11.Zhang C, Ke D, Sun Y, et al. Investigations of Large-Scale Voltage-Dependent Loads for Damping Inter-Area Oscillations: Mechanism and Robust Decentralized Control[J]. IEEE Transactions on Power Systems, 2018, 33(6): 6037-6048.
12.Ke D, Shen F, Chung C Y, et al. Application of Information Gap Decision Theory to the Design of Robust Wide-Area Power System Stabilizers Considering Uncertainties of Wind Power[J]. IEEE Transactions on Sustainable Energy, 2018, 9(2): 805-817.
13.Wang J, Xu J, Ke D, et al. A tri-level framework for distribution-level market clearing considering strategic participation of electrical vehicles and interactions with wholesale market[J], Applied Energy, 2023.
14.Qu Y, Xu J, Sun Y, et al. A temporal distributed hybrid deep learning model for day-ahead distributed PV power forecasting[J]. Applied Energy, 2021.
15.Wei C, Wu Q, Xu J, et al. Distributed scheduling of smart buildings to smooth power fluctuations considering load rebound[J]. Applied Energy, 2020.
16.Xu J, Chen Y, Liao S, et al. Demand side industrial load control for local utilization of wind power in isolated grids[J]. Applied Energy, 2019.
17.Bao Y, Xu J, Feng W, et al. Provision of secondary frequency regulation by coordinated dispatch of industrial loads and thermal power plants[J]. Applied Energy, 2019.
18.Xu J, Wang J, Liao S, et al. Stochastic multi-objective optimization of photovoltaics integrated three-phase distribution network based on dynamic scenarios[J]. Applied Energy, 2018.
19.Wei C, Xu J, Liao S, et al. Coordination optimization of multiple thermostatically controlled load groups in distribution network with renewable energy[J]. Applied Energy, 2018.
20.Wei C, Xu J, Liao S, et al. A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy[J]. Applied Energy, 2018.
21.Jiang Y, Xu J, Sun Y, et al. Coordinated operation of gas-electricity integrated distribution system with multi-CCHP and distributed renewable energy sources[J]. Applied Energy, 2018.
22.Liao S, Xu J, Sun Y, et al. Local utilization of wind electricity in isolated power systems by employing coordinated control scheme of industrial energy-intensive load[J]. Applied Energy, 2018.
23.Wei C, Wu Q, Xu J, et al. Bi-level retail pricing scheme considering price-based demand response of multi-energy buildings[J], International Journal of Electrical Power & Energy Systems,2022.
24.Xu J, Fu H, Liao S, et al. Demand-Side Management Based on Model Predictive Control in Distribution Network for Smoothing Distributed Photovoltaic Power Fluctuations[J]. Journal of Modern Power Systems and Clean Energy, 2022.
25.Chen R, Ke D, Sun Y, et al. Hierarchical Frequency-Dependent Chance Constrained Unit Commitment for Bulk AC/DC Hybrid Power Systems with Wind Power Generation[J]. Journal of Modern Power Systems and Clean Energy, 2022.
26.Ding X, Lin W, Xu J, et al. Coordinated frequency control for isolated power systems with high penetration of DFIG-based wind power[J]. CSEE Journal of Power and Energy Systems, 2022.
27.Qu Y, Liu C, Xu J, et al. A global optimum flow pattern for feeder reconfiguration to minimize power losses of unbalanced distribution systems[J]. International Journal of Electrical Power & Energy Systems, 2021.
28.Xu J, Xie B, Liao S, et al. Load shedding and restoration for intentional island with renewable distributed generation[J]. Journal of Modern Power Systems and Clean Energy, 2021, 9(3): 612-624.
29.Qu Y, Xu J, Sun Y, et al. A parameter and resolution adaptive algorithm for rapid detection of ramp events in different timescale databases of the power system[J]. International Journal of Electrical Power & Energy Systems, 2019.
30.Tang B, Xu J, Sun Y, et al. Policy solution and game analysis for addressing the challenge of developing public–private partnership energy project[J]. Environmental Research Letters, 2019, 14(4): 044019.
31.Xu J, Lan T, Liao S, et al. An on-line power/voltage stability index for multi-infeed HVDC systems[J]. Journal of Modern Power Systems and Clean Energy, 2019, 7(5): 1094-1104.
32.Tang C, Xu J, Sun Y, et al. Stochastic battery energy storage scheduling considering cell degradation and distributed energy resources[J]. International Transactions on Electrical Energy Systems, 2019, 29(7): e12028.
33.Jiang H, Xu J, Sun Y, et al. Dynamic reserve demand estimation model and cost‐effectivity oriented reserve allocation strategy for multi‐area system integrated with wind power[J]. IET Generation, Transmission & Distribution, 2018, 12(7): 1606-1620.
34.Liao S, Xu J, Sun Y, et al. Wide‐area measurement system‐based online calculation method of PV systems de‐loaded margin for frequency regulation in isolated power systems[J]. IET Renewable Power Generation, 2018, 12(3): 335-341.
35.徐箭,吴煜晖,廖思阳,孙荣富,王靖然,王俊.面向新能源消纳的信息-物理-社会标准化信息模型及其应用[J].电力系统自动化,2023,47(03):104-113.
36.孙元章,徐箭,廖思阳,柯德平,张喆,王博,胡耀华.提升新型电力系统调频能力的受控负荷阻尼因子控制器[J].中国电机工程学报,2023,43(03):868-878.
37.张鹏成,徐箭,柯德平,孙元章,廖思阳.氢能驱动下钢铁园区能源系统优化配置[J].电力系统自动化,2022,46(14):1-10.
38.张鹏成,徐箭,孙元章,柯德平,廖思阳.氢能驱动下钢铁园区能源系统低碳发展模式[J].电力系统自动化,2022,46(13):10-20.
39.廖思阳,张明强,徐箭,李健,王新迎,柯德平,孙元章,余杰.考虑静态电压稳定约束的电解铝参与电网频率稳定控制方法[J].中国电机工程学报,2022,42(18):6727-6740.
40.屈尹鹏,孙元章,徐箭,柯德平.基于解析灵敏度的不平衡配电系统分布式发电出力优化[J].电力系统自动化,2021,45(19):117-125.
41.张明一,孙元章,黎雄,徐箭,廖思阳,陆裕富.改进时域反演算法在配电网故障定位中的应用[J].电力系统自动化,2021,45(15):101-108.
42.李福成,徐箭,廖思阳,孙元章,柯德平,杨军,杜静湄.基于样本关注度和多层次特征的多阶段电力系统暂态稳定评估[J].中国电机工程学报,2021,41(22):7596-7608.
43.徐箭,胡佳,廖思阳,柯德平,王玉林,孙荣富.考虑网络动态特性与综合需求响应的综合能源系统协同优化[J].电力系统自动化,2021,45(12):40-48.
44.屈尹鹏,徐箭,姜尚光,柳玉,孙元章,柯德平.基于频繁模式挖掘的风电爬坡事件统计特性建模及预测[J].电力系统自动化,2021,45(01):36-43.
45.徐箭,廖思阳,魏聪颖,袁佳歆,杨军,贾宇乔,付昊博,谢博宇,袁智勇.基于广域量测信息的配电网协调控制技术展望[J].电力系统自动化,2020,44(18):12-22.
46.唐博文,孙元章,徐箭,廖思阳,沈波,周南.售电公司参与下的工业园区局域电网建设项目新模式探讨[J].电力系统自动化,2020,44(19):185-193.
47.彭刘阳,孙元章,徐箭,廖思阳,杨丽.基于深度强化学习的自适应不确定性经济调度[J].电力系统自动化,2020,44(09):33-42.
48.杨丽,孙元章,徐箭,廖思阳,彭刘阳.基于在线强化学习的风电系统自适应负荷频率控制[J].电力系统自动化,2020,44(12):74-83.
49.王静,徐箭,廖思阳,司马莉萍,孙元章,魏聪颖.计及新能源出力不确定性的电气综合能源系统协同优化[J].电力系统自动化,2019,43(15):2-9.
50.刘继,徐箭,孙元章,周过海,王静,魏聪颖.考虑风电功率序列时间相关性的电力系统动态经济调度[J].电力系统自动化,2019,43(03):43-50+91.
51.徐箭,曹慧秋,唐程辉,魏聪颖,江海燕,廖思阳.基于扩展序列运算的含不确定性需求响应电力系统优化调度[J].电力系统自动化,2018,42(13):152-160.
52.徐箭,唐旭辰,徐琪,王豹,雷若冰.考虑火电机组深度快速变负荷能力的频率控制[J].电力系统自动化,2018,42(08):51-56+82.

相关图片

团队介绍链接

https://mp.weixin.qq.com/s/jrIywEz53Dd22i5-YnczFA