Grey Wolf Algorithm in Coordinated Hydro and Wind Power Generation

doi:10.12096/j.2096-4528.pgt.2018.007

Abstract

Abstract:

Wind is stochastic that trouble the grid power balance and make wind curtailment occur. The wind power and hydropower could cooperate operation to reduce the influence of wind power fluctuation. Through making full use of the regulating ability of hydropower and wind energy, the coordinated operation of wind power and hydropower can be realized by controlling hydropower units, so that the wind and hydropower coordinating operation system will output according to the plan, stabilize the power system. To achieve the coordinated operation of wind power and hydropower and improve the stationarity of the coordinate output, the Grey Wolf algorithm was used to optimize the PID control of hydraulic turbine, to facilitate hydropower steadily track the change of wind power and make the output of wind power and hydropower output according to plan. The simulation results verified the effectiveness of the method.

Key words: wind power, hydropower, wind and hydropower coordinating operation, grey wolf optimizer algorithm

Xing LI,Xiuyuan YANG,Lijie WANG. Grey Wolf Algorithm in Coordinated Hydro and Wind Power Generation[J]. Power Generation Technology, 2018, 39(1): 43-48.

References

1	王凤蛟, 李鹏. 电力体制改革背景下发电集团面临的挑战和机遇[J]. 发电与空调, 2017, 38 (3): 51- 55.
2	杨秀媛, 陈瑶, 陈麒宇, 等. 导前微分控制在风电水电协同运行中的应用[J]. 中国电机工程学报, 2015, 35 (18): 4591- 4597.
3	王学成, 杨雨. 基于发电效益最大化的水光互补方案优化设计[J]. 发电与空调, 2015, 36 (6): 27- 30, 56.
4	兰维, 张中泉, 雷阳. 风电机组出力性能分析方法研[J]. 发电与空调, 2017, 38 (3): 26- 29.
5	范永威, 潘文霞. 风-水电联合优化运行分析[J]. 太阳能学报, 2008, 29 (1): 80- 84.
6	周宇昊, 张海珍, 宋胜男. 多能互补分布式能源实验平台系统关键技术研究[J]. 发电与空调, 2017, 38 (6): 5- 9, 37.
7	孙春顺, 王耀南, 李欣然. 水电-风电系统联合运行研究[J]. 太阳能学报, 2009, 30 (2): 232- 236.
8	尚志娟, 周晖, 王天华. 带有储能装置的风电与水电互补系统的研究[J]. 电力系统保护与控制, 2012, 40 (2): 99- 105.
9	Chen Q, Littler T, Han S. Large-scale wind generator cascaded tripping[C]. Proceedings of the 3rd IEEE Conference on Computer Science and Automation Engineering, Guangzhou, China, 2013.
10	Chen Q , Littler T , Wang H . Tripping control for transient stability in coordinated hydro and wind generation[J]. Proceedings of IET International Conference on Renewable Power Generation Conference 2013(RPG 2013), Beijing, China, 2013, 1- 4.
11	韩方冰. 基于风电水电联合运行的中长期机组组合研究[J]. 大连理工大学学报, 2013, 25 (10): 103- 106.
12	吴虎胜, 张凤鸣, 吴庐山. 一种新的群体智能算法一狼群算法[J]. 系统工程与电子技术, 2013, 35 (11): 2430- 2438.
13	静铁岩, 吕泉, 郭琳. 水电-风电系统日间联合调峰运行策略[J]. 电力系统自动化, 2011, 35 (22): 97- 103.
14	罗佳, 唐斌. 新型灰狼优化算法在函数优化中的应用[J]. 兰州理工大学学报, 2016, 42 (3): 96- 101.
15	苏永亮, 周彬. 基于自适应粒子群算法的水轮机PID调速参数优化[J]. 水电厂自动化, 2014, 35 (2): 47- 50.
16	方红庆, 沈祖诒. 基于改进粒子群算法的水轮发电机组PID调速器参数优化[J]. 中国电机工程学报, 2005, 25 (22): 123- 127.
17	Lansberry J E . Optimal hydrogenerator governor tuning with a genetic algorithm[J]. IEEE Transactions on Energy Conversion, 1992, 7 (4): 623- 630.
18	周强, 周永全. 一种基于领导者策略的狼群搜索算法[J]. 计算机应用研究, 2013, 30 (9): 2629- 2632.
19	张新明, 涂强, 康强, 等. 强化狼群等级制度的灰狼优化算法[J]. 数据采集与处理, 2017, 32 (5): 879- 889.
20	陈涵.基于灰狼算法的水轮机调速器参数优化[D].武汉:华中科技大学, 2016.
21	施行之, 周宇昊. 分布式能源系统的多目标优化模型研究[J]. 发电与空调, 2015, 36 (2): 1- 4.

[1]	Xinrong YAN, Ningning ZHANG, Kuichao MA, Chao WEI, Shuai YANG, Binbin PAN. Overview of Current Situation and Trend of Offshore Wind Power Development in China [J]. Power Generation Technology, 2024, 45(1): 1-12.
[2]	Shuai XU, Yufei YANG, Ao GANG, Yuetao XIE, Xiaoming ZHANG, Gongpeng LIU. Research on Key Technologies and Industrial Chain Cooperation Paths of Floating Offshore Wind Power Between China and Europe [J]. Power Generation Technology, 2024, 45(1): 13-23.
[3]	Caixin SUN, Bo ZHANG, Wei TANG, Yiming ZHOU, Mingzhi FU, Meng QIN, Xiaojiang GUO. Research and Practice on Localization of Offshore Wind Turbines [J]. Power Generation Technology, 2023, 44(5): 696-702.
[4]	Wenhu JIA, Qunjie XU. Research Progress of Anti-Corrosion Technology for Offshore Wind Power Facilities [J]. Power Generation Technology, 2023, 44(5): 703-711.
[5]	Jian YANG, Yu LIU, Kunpeng HUANG, Yazhou LUO, Siqing NIU, Wei WANG, Jiafei HUAN, Lei ZHANG, Pei ZHANG, Huawei LI. A Method for Estimating Available Power of Wind Farms by Considering the Power Generation Conditions and Station Losses [J]. Power Generation Technology, 2023, 44(2): 235-243.
[6]	Shuai CHU, Aihua WANG, Weichun GE, Yinxuan LI, Dai CUI. Analytical Method for Power Grid Dispatching Centralized Thermal Storage to Reduce Wind Abandoned Rate [J]. Power Generation Technology, 2023, 44(1): 18-24.
[7]	Yiming ZHOU, Shu YAN, Xin LIU, Bo ZHANG, Yutong GUO, Xiaojiang GUO. Summary of Offshore Wind Support Structure Integrated Design in China [J]. Power Generation Technology, 2023, 44(1): 36-43.
[8]	Ronghui WU, Dong LIU, Ye YU, Kailong MU, Lanhao ZHAO. Two-Way Fluid-Structure Interaction Numerical Simulation Method for Offshore Wind Power Based on Immersed Boundary Method [J]. Power Generation Technology, 2023, 44(1): 44-52.
[9]	Hui DONG, Weichun GE, Shitan ZHANG, Chuang LIU, Shuai CHU. Summary of Differences Between Hydrogen Production From Offshore Wind Power and Direct Outward Transmission of Electric Energy [J]. Power Generation Technology, 2022, 43(6): 869-879.
[10]	Xiaoming LIU, Zukuang TAN, Zhenhua YUAN, Yutian LIU. Comprehensive Optimization of Access Point Selection for Offshore Wind Farm Integrated With Voltage Source Converter High Voltage Direct Current [J]. Power Generation Technology, 2022, 43(6): 892-900.
[11]	Xiaotong GAO, Zhilong QIN, Xinyu GAO. Reliability Evaluation of Multi-Energy Generation and Transmission System With Offshore Wind Power-Photovoltaic-Energy Storage [J]. Power Generation Technology, 2022, 43(4): 626-635.
[12]	Hui ZHANG, Xiufang GU, Yanning CHEN, Zhenpeng LUO, Chen WANG. Benefit Cost Analysis of Thermal Storage Tank in Thermal Power Plant Considering Wind Power Consumption [J]. Power Generation Technology, 2022, 43(4): 664-672.
[13]	Xu LEI, Pengfei MA, Zhishuai SONG, Weidong LI. A Flexible Intraday Load Dispatch Model Considering Wind Power Prediction Errors [J]. Power Generation Technology, 2022, 43(3): 485-491.
[14]	Fang FANG, Dongyang LIANG, Yajuan LIU, Yang HU, Jizhen LIU. Key Technologies for Intelligent Control and Operation and Maintenance of Offshore Wind Power [J]. Power Generation Technology, 2022, 43(2): 175-185.
[15]	Zheng LI, Xiaojiang GUO, Xuhui SHEN, Haiyan TANG. Summary of Technologies for the Development of Offshore Wind Power Industry in China [J]. Power Generation Technology, 2022, 43(2): 186-197.