共 50 条
- [1] Coordinated Optimal Dispatch of Wind-nuclear Power Considering Peak Load Shaving of Nuclear Power Plant [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2019, 39 (04): : 1018 - 1028
- [2] Coordinated Day-Ahead Optimal Dispatch Considering Wind Power Consumption and the Benefits of Power Generation Group [J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2021, 36 (03): : 579 - 587
- [3] Multi-granularity hazard detection method for electrical power system [J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2021, 47 (03): : 520 - 530
- [4] Coordinated Dispatch Method of Energy-extensive Load and Wind Power Considering Risk Constraints [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019, 43 (16): : 9 - 16
- [5] Study of optimal load dispatch for thermal power plant [J]. PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 98 - 102
- [6] Research on Source-load Coordinated Dispatch Based on Multi-scenario Wind Power Consumption [J]. 2021 3RD INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS (SPIES 2021), 2021, : 421 - 425
- [7] Multi-load Groups Coordinated Load Control Strategy Considering Power Network Constraints [J]. 2017 2ND ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2017), 2017, 199
- [8] Coordinated rolling dispatch of wind and thermal power considering forecasting error [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2020, 40 (12): : 88 - 95
- [9] Research on Method of Tree Structure Selecting Optimal Medication Granularity Based on of Multi-granularity Decision System [J]. 14TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND EDUCATION (ICCSE 2019), 2019, : 601 - 605
- [10] Optimal Control for Complex Systems under Multi-granularity Based on Data Mining [J]. PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 3063 - 3068