Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (5): 1143-1150.doi: 10.23919/JSEE.2022.000110
• SYSTEMS ENGINEERING • Previous Articles Next Articles
Bing WANG*(), Pengfei ZHANG(), Yufeng HE(), Xiaozhi WANG(), Xianxia ZHANG
|1||HUANG Q, JIA Q S, GUAN X A multi-timescale and bilevel coordination approach for matching uncertain wind supply with EV charging demand. IEEE Trans. on Automation Science & Engineering, 2017, 14 (2): 694- 704.|
|2||LI P, YANG M, WU Q W Confidence interval based distributionally robust real-time economic dispatch approach considering wind power accommodation risk. IEEE Trans. on Sustainable Energy, 2021, 12 (1): 59- 69.|
|3||HUANG C M, KUO C J, HUANG Y C Short-term wind power forecasting and uncertainty analysis using a hybrid intelligent method. IET Renewable Power Generation, 2017, 11 (5): 678- 687.|
|4||TAN Z F, HE Y X On units combination and commitment optimization for electric power production. Journal of Systems Engineering and Electronics, 2004, 5 (1): 12- 18.|
|5||SHI Y H, DONG S F, GUO C X, et al Enhancing the flexibility of storage integrated power system by multi-stage robust dispatch. IEEE Trans. on Power Systems, 2020, 36 (3): 2314- 2322.|
FILABADI M D, AZAD S P Robust optimisation framework for SCED problem in mixed AC-HVDC power systems with wind uncertainty. IET Renewable Power Generation, 2020, 14 (14): 2563- 2572.
YUAN H L, XU Y Preventive-corrective coordinated transient stability dispatch of power systems with uncertain wind power. IEEE Trans. on Power Systems, 2020, 35 (5): 3616- 3626.
|8||XU Q S, DENG C H, ZHAO W X, et al A multi-scenario robust dispatch method for power grid integrated with wind farms. Power System Technology, 2014, 38 (3): 653- 661.|
|9||HUANG Q, JIA Q S, GUAN X Robust scheduling of EV charging load with uncertain wind power integration. IEEE Trans. on Smart Grid, 2018, 9 (2): 1043- 1054.|
|10||ZHANG Y P, AI X M, WEN J Y, et al Data-adaptive robust optimization method for the economic dispatch of active distribution networks. IEEE Trans. on Smart Grid, 2019, 10 (4): 3791- 3800.|
FANG D W, GUAN X, HU B R, et al Deep reinforcement learning for scenario-based robust economic dispatch strategy in Internet of Energy. IEEE Internet of Things Journal, 2021, 8 (12): 9654- 9663.
|12||WU W C, CHEN J H, ZHANG B M, et al A robust wind power optimization method for look-ahead power dispatch. IEEE Trans. on Sustainable Energy, 2014, 5 (2): 507- 515.|
WANG B, YANG X F, LI Q Y Bad-scenario based robust scheduling model. Acta Automatica Sinica, 2012, 38 (2): 270- 278.
|14||WANG B, WANG X Z, XIE H X Bad-scenario-set robust scheduling for a job shop to hedge against processing time uncertainty. International Journal of Production Research, 2019, 57 (10): 3168- 3185.|
|15||WANG B, XIE H X, XIA X D , et al A NSGA-II algorithm hybridizing local simulated-annealing operators for a bi-criteria robust job-shop scheduling problem under scenarios. IEEE Trans. on Fuzzy System, 2019, 27 (5): 1075- 1084.|
WANG X Z, WANG B, ZHANG X, et al Two-objective robust job-shop scheduling with two problem-specific neighborhood structures. Swarm and Evolutionary Computation, 2021, 61, 100805.
|17||FARHAT I, EL-HAWARY M E Dynamic adaptive bacterial foraging algorithm for optimum economic dispatch with valve-point effects and wind power. IET Generation Transmission & Distribution, 2010, 4 (9): 989- 999.|
|18||CHIANG C L Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels. IEEE Trans. on Power Systems, 2005, 20 (4): 1690- 1699.|
|19||PARK J B, JEONG Y W, SHIN J R, et al An improved particle swarm optimization for nonconvex economic dispatch problems. IEEE Trans. on Power Systems, 2010, 25 (1): 156- 166.|
|20||ELSAYED W, HEGAZY Y, EL-BAGES M, et al Improved random drift particle swarm optimization with self-adaptive mechanism for solving the power economic dispatch problem. IEEE Trans. on Industrial Informatics, 2017, 13 (3): 1017- 1026.|
|21||WU J K, XIONG Y Establishment and solution of the complementary power generation model of wind-energy, hydro-energy and natural gas. Power System Technology, 2014, 38 (3): 603- 609.|
|22||LU Z G, ZHAO H, XIAO H F, et al Robust DED based on bad scenario set considering wind, EV and battery switching station. IET Generation Transmission & Distribution, 2017, 11 (2): 354- 362.|
LEE C Y, TUEGEH M Optimal optimisation-based microgrid scheduling considering impacts of unexpected forecast errors due to the uncertainty of renewable generation and loads fluctuation. IET Renewable Power Generation, 2020, 14 (2): 321- 331.
|24||BASU M Modified particle swarm optimization for nonconvex economic dispatch problems. International Journal of Electrical Power & Energy Systems, 2015, 69, 304- 312.|
|25||CHEN H H, ZHANG R F, LI G Q, et al Economic dispatch of wind integrated power systems with energy storage considering composite operating costs. IET Generation Transmission & Distribution, 2016, 10 (5): 1294- 1303.|
|26||SHI L B, YAO L Z, WANG R Modeling and solutions of coordinated economic dispatch with wind-hydro-thermal complex power source structure. IET Renewable Power Generation, 2017, 11 (3): 262- 270.|
|27||LI Z, QIN J L, TAN W, et al Optimizing schedule for electric power system of energy-saving and emission-reducing based upon objective-weight oriented multi-objective particle swarm optimization. Proceedings of the CSEE, 2015, 35 (S1): 67- 74.|
|28||HE D K, DONG G, WANG F L, et al Optimization of dynamic economic dispatch with valve-point effect using chaotic sequence based differential evolution algorithms. Energy Conversion & Management, 2011, 52 (2): 1026- 1032.|
|29||YUAN T J, CHAO Q, TOERXUN Y, et al Optimized economic and environment-friendly dispatching modeling for large-scale wind power integration. Proceedings of the CSEE Society for Electrical Engineering, 2010, 30 (31): 7- 13.|
|30||XU Q S, YANG Y, LIU Y J, et al An improved latin hypercube sampling method to enhance numerical stability considering the correlation of input variables. IEEE Access, 2017, 5, 15197- 15205.|
|||Jun CHEN, Xudong GAO, Jia RONG, Xiaoguang GAO. A situation awareness assessment method based on fuzzy cognitive maps [J]. Journal of Systems Engineering and Electronics, 2022, 33(5): 1108-1122.|
|||Jianwei SUN, Chao WANG, Qingzhan SHI, Wenbo REN, Zekun YAO, Naichang YUAN. Intelligent optimization methods of phase-modulation waveform [J]. Journal of Systems Engineering and Electronics, 2022, 33(4): 916-923.|
|||Zihang DING, Junwei XIE, Zhengjie LI. Adaptive transmit beamspace optimization design based on RD-log-FDA radar [J]. Journal of Systems Engineering and Electronics, 2022, 33(1): 91-96.|
|||Shiyun LI, Sheng ZHONG, Zhi PEI, Wenchao YI, Yong CHEN, Cheng WANG, Wenzhu ZHANG. Multi-objective reconfigurable production line scheduling for smart home appliances [J]. Journal of Systems Engineering and Electronics, 2021, 32(2): 297-317.|
|||Qingsong ZHAO, Junyi DING, Yu GUO, Peng LIU, Kewei YANG. A scenario construction and similarity measurement method for navy combat search and rescue [J]. Journal of Systems Engineering and Electronics, 2020, 31(5): 957-968.|
|||Yuxiao KANG, Shuhua MAO, Yonghong ZHANG, Huimin ZHU. Fractional derivative multivariable grey model for nonstationary sequence and its application [J]. Journal of Systems Engineering and Electronics, 2020, 31(5): 1009-1018.|
|||Hongzhi LI, Yong WANG. Particle swarm optimization for rigid body reconstruction after micro-Doppler removal in radar analysis [J]. Journal of Systems Engineering and Electronics, 2020, 31(3): 488-499.|
|||Haowei ZHANG, Junwei XIE, Jiaang GE, Zhaojian ZHANG, Wenlong LU. Finite sensor selection algorithm in distributed MIMO radar for joint target tracking and detection [J]. Journal of Systems Engineering and Electronics, 2020, 31(2): 290-302.|
|||Xu ZHENG, Yejun GAO, Wuxing JING, Yongsheng WANG. Multidisciplinary integrated design of long-range ballistic missile using PSO algorithm [J]. Journal of Systems Engineering and Electronics, 2020, 31(2): 335-349.|
|||Boyuan XIA, Qingsong ZHAO, Kewei YANG, Yajie DOU, Zhiwei YANG. Scenario-based modeling and solving research on robust weapon project planning problems [J]. Journal of Systems Engineering and Electronics, 2019, 30(1): 85-99.|
|||Mingnan TANG, Shijun CHEN, Xuehe ZHENG, Tianshu WANG, Hui CAO. Sensors deployment optimization in multi-dimensional space based on improved particle swarm optimization algorithm [J]. Journal of Systems Engineering and Electronics, 2018, 29(5): 969-982.|
|||Zilong Cheng, Li Fan, and Yulin Zhang. Multi-agent decision support system for missile defense based on improved PSO algorithm [J]. Systems Engineering and Electronics, 2017, 28(3): 514-525.|
|||Yongjian Yang, Xiaoguang Fan, Zhenfu Zhuo, Shengda Wang, Jianguo Nan, and Wenkui Chu. Improved particle swarm optimization based on particles’ explorative capability enhancement [J]. Systems Engineering and Electronics, 2016, 27(4): 900-.|
|||Pengle Zhang, Kewei Yang, Yajie Dou, and Jiang Jiang. Scenario-based approach for project portfolio selection in army engineering and manufacturing development [J]. Systems Engineering and Electronics, 2016, 27(1): 166-.|
|||Lu Wang, Qinghua Xing, and Yifan Mao. Reentry trajectory rapid optimization for hypersonic vehicle satisfying waypoint and no-fly zone constraints [J]. Systems Engineering and Electronics, 2015, 26(6): 1277-1290.|