新能源,储能

1、电力市场及需求侧管理
2、新能源发电及储能、虚拟电厂
3、能源计量与碳排放
4、电力系统优化运行

[1] Jin Hui, Kong Xiangyu, Wang Chunjie, et al. A methodology for simulation of power generation characteristics and enhancement of MPPT performance of offshore floating photovoltaic arrays [J]. Applied Energy, 2025, Vol.3 93, 126129. (SCI论文一区)
[2] Liu Mao, Kong Xiangyu, Lian Jijian, Wang Jimin, Yang Bohan. Distributionally robust coordinated day-ahead scheduling of Cascade pumped hydro energy storage system and DC transmission [J]. Applied Energy, v 384, April 15, 2025. (SCI期刊一区)
[3] Bixuan Gao, Xiangyu Kong, Shangze Li, et al. Enhancing anomaly detection accuracy and interpretability in low-quality and class imbalanced data: A comprehensive approach [J]. Applied Energy, Volume 353, Part B, 1 January 2024, 122157. (SCI期刊一区)
[4] Yuying Ma, Xiangyu Kong, Liang Zhao, et al. A method for analyzing the irrepazrability of diverse electricity consumption data based on improved data generation technology [J]. Applied Energy 374 (2024) 123994. (SCI期刊一区)
[5] Bixuan Gao, Xiangyu Kong, Gaohua Liu, et al. Monitoring high-carbon industry enterprise emission in carbon market: A multi-trusted approach using externally available big data Author links open overlay panel [J]. Journal of Cleaner Production, Volume 466, 10 August 2024, 142729. (SCI期刊一区)
[6] Bixuan Gao, Xiangyu Kong, Shangze Li, et al. Enhancing anomaly detection accuracy and interpretability in low-quality and class imbalanced data: A comprehensive approach [J]. Applied Energy, Volume 353, Part B, 1 January 2024, 122157. (SCI期刊一区)
[7] Kong Xiangyu, Lu Wenqi, Wu Jianzhong, et al. Real-time pricing method for VPP demand response based on PER-DDPG algorithm [J]. ENERGY, Volume 271, 15 May 2023, 127036. (SCI期刊一区)
[8] Xiangyu Kong, Zhengtao Wang, Chao Liu, Delong Zhang, Hongchao Gao. Refined peak shaving potential assessment and differentiated decision-making method for user load in virtual power plants [J]. Applied Energy, Volume 334, 15 March 2023, 120609. (SCI期刊一区)
[9] Siwei Li, Xiangyu Kong, Liang Yue, Chang Liu, et al. Short-term electrical load forecasting using hybrid model of ray foraging optimization and vector regression [J]. Journal of Cleaner Production, 388 (2023) 135856. (SCI期刊一区)
[10] Xiangyu Kong, Xu Zhao, Chengshan Wang, Qing Duan, Guanglin Sha, Lu Liu. Promote the international development of Energy Internet technology standards based on key competition mode [J]. Sustainable Cities and Society, Vol. 86, November 2022, 104151. (SCI期刊一区)
[11] Fangyuan Sun, Xiangyu Kong, Jianzhong WU, et al. DSM Pricing Method Based on A3C and LSTM Under Cloud-edge Environment [J]. Applied Energy, 315 (2022) 118853. (SCI期刊一区)
[12] Xiangyu Kong, Xiaopeng Zhang, Xuanyong Zhang, et al. Adaptive Dynamic State Estimation of Distribution Network Based on Interacting Multiple Model [J]. IEEE Transactions on Sustainable Energy, 2022, 13(2): 643-652. (SCI期刊一区)
[13] Kong Xiangyu，Zhang Xiaopeng，Bai Linquan. A Remote Estimation Method of Smart Meter Errors based on NNF and GDRLS. IEEE Transactions on Industrial Informatics, 2022, 18(1): 219-230. (SCI期刊一区)
[14] Kong Xiangyu, Zhang Xiaopeng, Lu Ning. Online Smart Meter Measurement Error Estimation Based on EKF and LMRLS Method [J]. IEEE Transactions on Smart Grid, 2021, 12(5), 4269 - 4279. (SCI期刊一区)
[15] Xiangyu Kong, Xiao Jie, Liu Dehong, et al. Robust Stochastic Optimal Dispatching Method of Multi-energy Virtual Power Plant Considering Multiple Uncertainties [J], Applied Energy, 279 (2020)115707. https://doi.org/10.1016/j.apenergy.2020.115707 (SCI期刊一区)
[16] Xiangyu Kong, Fangyuan Sun, Xianxu Huo, et al. Hierarchical optimal scheduling method of heat-electricity integrated energy system based on Power Internet of Things [J]. Energy, 210 (2020) 118590. (SCI期刊一区)
[17] Xiangyu Kong, Dehong Liu, Chengshan Wang, et al. Optimal operation strategy for interconnected microgrids in market environment considering uncertainty [J]. Applied Energy, 275(2020) 115336. (SCI期刊一区)
[18] Xiangyu Kong, Xiaopeng Zhang, Gang Li, Delong Dong, Ye Li. An estimation method of smart meter errors based on DREM and DRLS [J]. Energy, 204(2020) 117774 (SCI期刊一区)
[19] Xiangyu Kong, Deqian Kong, Jingtao Yao, et al. Online pricing of demand response based on long short-term memory and reinforcement learning [J]. Applied Energy, 271 (2020), 114945. (SCI期刊一区)
[20] Xiangyu Kong, Yong Xu, Zaibin Jiao, Delong Dong. Fault Location Technology for Power System Based on Information about the Power Internet of Things [J]. IEEE Transactions on Industrial Informatics, 2020,16(10) 6682-6693. (SCI期刊一区)
[21] Xiangyu Kong, Chuang Li, Chengshan Wang, et al. Short-term electrical load forecasting based on error correction using dynamic mode decomposition [J]. Applied Energy. Vol 261 (1), March 2020, 114368. https://doi.org/10.1016/j.apenergy.2019.114368 (SCI期刊一区)
[22] Xiangyu Kong, Chuang Li, Feng Zheng, Chengshan Wang. Improved Deep Belief Network for Short-Term Load Forecasting Considering Demand-Side Management [J]. IEEE Transactions on Power Systems, 2020, 35(2): 1531-1538. (SCI期刊一区)
[23] Xiangyu Kong, Dehong Liu, Jie Xiao, Chengshan Wang. A multi-agent optimal bidding strategy in microgrids based on artificial immune system [J]. Energy, 189 (2019) 116154.(SCI期刊一区)
[24] Xiangyu Kong, Jie Xiao, Chengshan Wang. Bi-level multi-time scale scheduling method based on bidding for multi-operator virtual power plant [J]. Applied Energy, 2019, 249(2019): 178-189. https://doi.org/10.1016/j.apenergy.2019.04.130. (SCI期刊一区)
[25] 孔祥玉，马玉莹，艾芊，等.新型电力系统多元用户的用电特征建模与用电负荷预测综述[J].电力力系统自动化，2023, 47(13): 1-16.
[26] 孔祥玉，刘超，王成山，陈宋宋，李思为.基于深度子领域自适应的需求响应潜力评估方法[J]，中国电机工程学报, 2022，42(16): 5786-5797。(获《中国电机工程学报》2023 年度“优秀论文”奖)
[27] 孔祥玉，刘超，陈宋宋，陈启鑫，王铮涛.考虑动态过程的可调资源集群多时间节点响应潜力评估方法[J].电力系统自动化，2022,46(19): 55-64.
[28] 李闯，孔祥玉，朱石剑，田世明，鄂志军.能源互联环境下考虑需求响应的区域电网短期负荷预测[J].电力系统自动化，2021,45(1): 71-78.
[29] 孔祥玉，张烜墉，王成山，李鹏，于力，江晓东.复杂形态下的配电网自适应自趋优状态估计方法[J].中国电机工程学报, 2021, 41(10): 3339-3348.
[30] 孔祥玉，马玉莹，李野，王成山，赵鑫.基于限定记忆递推最小二乘算法的智能电表运行误差远程估计[J].中国电机工程学报, 2020, 40(7): 2142-2151.
[31] 孔祥玉，王玉婷，袁枭枭，于力.基于定制遗传算法考虑配电网多种拓扑可观性的PMU优化配置[J]. 电力自动化设备, 2020, 40(1): 66-73.
[32] 孔祥玉,吕鑫鹏,俞小勇, 吴争荣.基于量化分解的配电网可靠性提升措施分析 [J].电力系统自动化, 2019, 43(19): 132-139.
[33] 孔祥玉, 李闯,郑锋,于力,马溪原.基于经验模态分解与特征相关分析的短期负荷预测方法[J].电力系统自动化，2019, 43(5): 46-52.
[34] 孔祥玉,张禹森,杨世海,李志新,王继东.市场机制下考虑风险的售电公司日前电价决策方法[J].电网技术, 2019, 43(3): 935-943.
[35] 孔祥玉，吕鑫鹏，董旭柱，吴争荣，刘志文.基于负荷分类评估的配电网可靠性分析方法[J].湖南大学学报（自然科学版），2018, 45(4): 104-111.
[36] 孔祥玉, 郑锋, 鄂志君, 等.基于深度信念网络的短期负荷预测方法[J].电力系统自动化, 2018, 42(5): 133-139. （获《中国百篇最具影响国内学术论文》）
[37] 孔祥玉, 胡启安, 董旭柱, 等. 引入改进模糊C均值聚类的负荷数据辨识及修复方法.电力系统自动化, 2017, 41(9): 90-95.
[38] 孔祥玉, 曾意, 陆宁, 等. 基于多智能体竞价均衡的微电网优化运行方法.中国电机工程学报, 2017, 37(6): 1626-1633.

1、2024.01-2027.12，国家自然科学基金重点支撑项目：“水-风-光-抽蓄储能系统协同开发与多目标优化运行研究”（U23B20142），项目骨干
2、2023.01-2026.12，国家自然科学基金面上项目：“考虑配电网复杂形态特征的二次系统协调规划理论与方法研究”（52277121），项目负责人
3、2022.12-2025.11，中华人民共和国科学技术部，国家重点研发计划课题项目：近海漂浮式光伏高效安全的电气系统设计和耐候性研究（2022YFB4200703），项目负责人
4、2021.12-2025.08，中华人民共和国科学技术部，国家重点研发计划项目：“规模化灵活资源虚拟电厂聚合互动调控关键技术”(2021YFB240120)，子课题负责人
5、2017.07-2021.06，中华人民共和国科学技术部，国家重点研发计划课题项目：“基于多源信息自适应状态估计技术与PMU最优布点方案研究”(2017YFB0902902)，项目负责人
6、2016.07-2020.06国家重点研发计划课题项目：“电力供需互动服务平台关键技术研究” (2016YFB0901104)，子课题负责人
7、2019.01-2022.12，国家自然科学基金面上项目：“基于数据分析的电能表运行误差远程校验关键技术研究”（51877145），项目负责人（优秀结题项目）
8、2014.01-2017.12 国家自然科学基金面上项目：“需求侧资源参与可再生能源消纳模式及协调控制技术研究”(51377119)，项目负责人（优秀结题项目）
9、2013.01-2015.12国家科技支撑项目“区域智能电网综合示范工程-含分布式能源的微网控制与优化技术”(2013BAA01B03)，子课题负责人
10、2012.01-2014.12国家自然科学基金青年基金项目：“基于人工免疫技术的Multi-Agent系统微网优化运行研究” (51107086)，项目负责人（优秀结题项目）
11、2012.01-2014.12国家高技术研究发展计划(863计划)资助项目：“灵活互动的智能用电关键技术研究”(2011AA05A115)，子课题负责人
12、2008.01-2010.12国家自然科学基金项目：“交直流混合大规模电力系统在线安全分析与控制关键技术研究”(E070403)，项目第2完成人
13、2018.09-2019.09电网安全与节能国家重点实验室开放基金项目："基于广域测量的新能源交直流混联系统故障分析及阶梯协调控制决策技术"，项目负责人
14、2019.06-2020.06 直流输电技术国家重点实验室开放基金项目："基于WAMS 的交直流混联系统故障后阶梯协调控制策略研究"，项目负责人
15、2020.09-2021.09，北京市重点实验室开放基金项目：“支持新能源消纳的需求侧资源优化配置及柔性互动技术研究”，项目负责人
16、作为负责人，承担国家电网、南方电网公司等重点/重大科技项目20余项。