Medium- and Long-Term Double-Layer Nested Optimal Scheduling of Hydro-PV Complementary System Considering Short-Term Power Fluctuation and Curtailment Risk
Xianyu Hucheng1, Huang Xianfeng1, Zhang Yanqing2, Li Xu3, Xu Chang4
1. College of Water Conservancy and Hydropower Engineering Hohai University Nanjing 210098 China; 2. Power China Guiyang Engineering Corporation Limited Guiyang 550081 China; 3. Huaneng Lancang River Hydropower Inc. Kunming 650214 China; 4. College of Energy and Electrical Engineering Hohai University Nanjing 210098 China
Abstract:The hydropower (Hydro) and photovoltaic (PV) power complementary system is unified operation through the control center. It contributes to promote the integration of renewable energy and power system. However, the risk of energy loss and transmission power fluctuation will be induced when the Hydro-PV power exceeds the regulation range of the power system. Traditional medium- and long-term scheduling model of Hydro-PV complementary system does not consider short-term Hydro regulation ability and PV random fluctuation. Therefore, the operating rules formulated by such model are difficult to effectively guarantee stable operation of the power system under a state of new energy high proportion penetration. In addition, it’s not conducive to coordinate long-term operation benefits and short-term power grid connection risks. To address these issues, this paper proposes a medium- and long-term double-layer nested scheduling model and solution method considering short-term power fluctuation and curtailment risk. It aims to optimize the decision of medium- and long-term scheduling and guarantee the quality of short-term power generation. Firstly, a complementary relationship between PV fluctuation and Hydro regulation ability was proposed form the perspective of power shape and quantity. Secondly, the point to improve the quality of grid connection was to reduce the risk of power fluctuation and curtailment. And on this basis, a short-term Hydro-PV complementation strategy based on the fluctuation parameters (△S,△R) and fluctuation damping method was proposed. This way could optimize the short-term generation plan and identify the benefit (power accommodation) and risk (power fluctuation and curtailment) information. Thirdly, a two-layer nested scheduling model and solution method coupling the outer monthly reservoir capacity decision search with the inner short-term Hydro-PV complementary strategy was developed. Then, a Hydro-PV complementary vector relation and particle swarm optimization (PSO) were introduced to improve the model solving efficiency. Finally, the decision boundary was determined by Hydro-PV scenarios simulation and fluctuation parameters selection, then the risk and benefit scheme set and scheduling decision platform were established by combining the objective preference. The results show that energy loss risk control can avoid power curtailment during operation cycle. Meanwhile, the fluctuation risk control improves the short-term power grid-connected quality. When △S=0, the PV power is fully compensated and then the system power meets the transmission form of subsection stability, which can effectively reduce the operating pressure of the power system. The decision platform shows that the benefit of storage capacity rising will be gradually damaged with the increase of risk control requirements. In this process, the increase of fluctuation parameters can improve the power grid-connected quality at the expense of power accommodation benefit. This indicates that the accuracy of scenarios prediction and the rationality of fluctuation parameters selection are conducive to coordinate the relationship between benefit optimization and risk aversion. The following conclusions can be drawn from the simulation analysis: (1) The proposed Hydro-PV complementary relationship reveals the effect of fluctuation risk control is positively correlated with the balance power that Hydro can call, but if the balance power exceeds the capacity boundary of transmission channel, the risk of power abandonment will be caused. (2) The proposed short-term Hydro-PV complementary strategy can guarantee the complementary system power as close as possible to the transmission form of subsection stability. (3) The proposed double-layer nested optimization framework can effectively regulate risk and benefit elements at different time scales. It provides a decision platform for Hydro-PV complementary system, which can support administrator to select a reasonable scheduling scheme quickly, and then fully coordinate the energy utilization efficiency with the power grid connection process.
[1] 艾芊, 郝然. 多能互补、集成优化能源系统关键技术及挑战[J]. 电力系统自动化, 2018, 42(4): 2-10, 46. Ai Qian, Hao Ran.Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system[J]. Automation of Electric Power Systems, 2018, 42(4): 2-10, 46. [2] 张晶, 李彬, 戴朝波. 全球能源互联网标准体系研究[J]. 电网技术, 2017, 41(7): 2055-2063. Zhang Jing, Li Bin, Dai Chaobo.Study on standard system for global energy interconnection[J]. Power System Technology, 2017, 41(7): 2055-2063. [3] 张沈习, 王丹阳, 程浩忠, 等. 双碳目标下低碳综合能源系统规划关键技术及挑战[J]. 电力系统自动化, 2022, 46(8): 189-207. Zhang Shenxi, Wang Danyang, Cheng Haozhong, et al.Key technologies and challenges of low-carbon integrated energy system planning for carbon emission peak and carbon neutrality[J]. Automation of Electric Power Systems, 2022, 46(8): 189-207. [4] 武平, 郭巍, 晋春杰, 等. 浅谈我国电力与能源现状及解决途径[J]. 电气技术, 2018, 19(5): 1-4, 14. Wu Ping, Guo Wei, Jin Chunjie, et al.Analysis on the current situation of electricity and energy in China and its solution[J]. Electrical Engineering, 2018, 19(5): 1-4, 14. [5] 姜云鹏, 任洲洋, 李秋燕, 等. 考虑多灵活性资源协调调度的配电网新能源消纳策略[J]. 电工技术学报, 2022, 37(7): 1820-1835. Jiang Yunpeng, Ren Zhouyang, Li Qiuyan, et al.An accommodation strategy for renewable energy in distribution network considering coordinated dispatching of multi-flexible resources[J]. Transactions of China Electrotechnical Society, 2022, 37(7): 1820-1835. [6] 亢丽君, 王蓓蓓, 薛必克, 等. 计及爬坡场景覆盖的高比例新能源电网平衡策略研究[J]. 电工技术学报, 2022, 37(13): 3275-3288. Kang Lijun, Wang Beibei, Xue Bike, et al.Research on the balance strategy for power grid with high proportion renewable energy considering the ramping scenario coverage[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3275-3288. [7] 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1): 1-9. Shu Yinbiao, Zhang Zhigang, Guo Jianbo, et al.Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9. [8] 甘伟, 艾小猛, 方家琨, 等. 风-火-水-储-气联合优化调度策略[J]. 电工技术学报, 2017, 32(增刊1): 11-20. Gan Wei, Ai Xiaomeng, Fang Jiakun, et al.Coordinated optimal operation of the wind, coal, hydro, gas units with energy storage[J]. Transactions of China Electrotechnical Society, 2017, 32(S1): 11-20. [9] Han Shuang, Zhang Luna, Liu Yongqian, et al.Quantitative evaluation method for the complementarity of wind-solar-hydro power and optimization of wind-solar ratio[J]. Applied Energy, 2019, 236: 973-984. [10] Wang Zhenni, Wen Xin, Tan Qiaofeng, et al.Potential assessment of large-scale hydro-photovoltaic-wind hybrid systems on a global scale[J]. Renewable and Sustainable Energy Reviews, 2021, 146: 111154. [11] 韩晓言, 丁理杰, 陈刚, 等. 梯级水光蓄互补联合发电关键技术与研究展望[J]. 电工技术学报, 2020, 35(13): 2711-2722. Han Xiaoyan, Ding Lijie, Chen Gang, et al.Key technologies and research prospects for cascaded hydro-photovoltaic-pumped storage hybrid power generation system[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2711-2722. [12] Wang Xianxun, Mei Yadong, Kong Yanjun, et al.Improved multi-objective model and analysis of the coordinated operation of a hydro-wind-photovoltaic system[J]. Energy, 2017, 134: 813-839. [13] 周永斐, 梅亚东, 谢凡仪, 等. 基于主从博弈的风光蓄网短期优化调度[J]. 水力发电学报, 2021, 40(12): 52-64. Zhou Yongfei, Mei Yadong, Xie Fanyi, et al.Short-term optimal scheduling of wind-photovoltaic-pumped storage grid based on Stackelberg game[J]. Journal of Hydroelectric Engineering, 2021, 40(12): 52-64. [14] 朱燕梅, 黄炜斌, 陈仕军, 等. 水光互补日内优化运行策略[J]. 工程科学与技术, 2021, 53(3): 142-149. Zhu Yanmei, Huang Weibin, Chen Shijun, et al.Intra-day optimal operation strategy of hydro-PV hybrid system[J]. Advanced Engineering Sciences, 2021, 53(3): 142-149. [15] 金国彬, 潘狄, 陈庆, 等. 考虑源荷不确定性的直流配电网模糊随机日前优化调度[J]. 电工技术学报, 2021, 36(21): 4517-4528. Jin Guobin, Pan Di, Chen Qing, et al.Fuzzy random day-ahead optimal dispatch of DC distribution network considering the uncertainty of source-load[J]. Transactions of China Electrotechnical Society, 2021, 36(21): 4517-4528. [16] Zhu Yanmei, Chen Shijun, Huang Weibin, et al.Complementary operational research for a hydro-wind-solar hybrid power system on the upper Jinsha River[J]. Journal of Renewable and Sustainable Energy, 2018, 10(4): 043309. [17] 明波, 李研, 刘攀, 等. 嵌套短期弃电风险的水光互补中长期优化调度研究[J]. 水利学报, 2021, 52(6): 712-722. Ming Bo, Li Yan, Liu Pan, et al.Long-term optimal operation of hydro-solar hybrid energy systems nested with short-term energy curtailment risk[J]. Journal of Hydraulic Engineering, 2021, 52(6): 712-722. [18] 赵珍玉, 张一, 李刚, 等. 风电并网条件下的梯级水电站长期优化调度[J]. 水力发电学报, 2020, 39(12): 62-75. Zhao Zhenyu, Zhang Yi, Li Gang, et al.Long-term optimal dispatching of cascade hydropower stations under large-scale wind power grid integration[J]. Journal of Hydroelectric Engineering, 2020, 39(12): 62-75. [19] 黄显峰, 格桑央拉, 吴志远, 等. 水光互补能源基地的多时间尺度优化调度[J]. 水力发电, 2022, 48(1): 106-111. Huang Xianfeng, Kelsang Yarlha, Wu Zhiyuan, et al.Multi-time scale optimization scheduling of hydro-photovoltaic complementary energy base[J]. Water Power, 2022, 48(1): 106-111. [20] 丁明, 王伟胜, 王秀丽, 等. 大规模光伏发电对电力系统影响综述[J]. 中国电机工程学报, 2014, 34(1): 1-14. Ding Ming, Wang Weisheng, Wang Xiuli, et al.A review on the effect of large-scale PV generation on power systems[J]. Proceedings of the CSEE, 2014, 34(1): 1-14. [21] 李傲伟, 柳璐, 程浩忠, 等. 高比例可再生能源接入下考虑输配协同的输电网规划测试系统[J]. 电力系统自动化, 2021, 45(11): 19-27. Li Aowei, Liu Lu, Cheng Haozhong, et al.Transmission expansion planning test system considering transmission and distribution coordination with integration of high proportion of renewable energy[J]. Automation of Electric Power Systems, 2021, 45(11): 19-27. [22] Ding Ziyu, Wen Xin, Tan Qiaofeng, et al.A forecast-driven decision-making model for long-term operation of a hydro-wind-photovoltaic hybrid system[J]. Applied Energy, 2021, 291: 116820. [23] 闻昕, 孙圆亮, 谭乔凤, 等. 考虑预测不确定性的风-光-水多能互补系统调度风险和效益分析[J]. 工程科学与技术, 2020, 52(3): 32-41. Wen Xin, Sun Yuanliang, Tan Qiaofeng, et al.Risk and benefit analysis of hydro-wind-solar multi-energy system considering the one-day ahead output forecast uncertainty[J]. Advanced Engineering Sciences, 2020, 52(3): 32-41. [24] Ming Bo, Liu Pan, Cheng Lei, et al.Optimal daily generation scheduling of large hydro-photovoltaic hybrid power plants[J]. Energy Conversion and Management, 2018, 171: 528-540. [25] 杨晶显, 刘俊勇, 韩晓言, 等. 基于深度嵌入聚类的水光荷不确定性源场景生成方法[J]. 中国电机工程学报, 2020, 40(22): 7296-7306. Yang Jingxian, Liu Junyong, Han Xiaoyan, et al.An uncertain hydro/PV/load typical scenarios generation method based on deep embedding for clustering[J]. Proceedings of the CSEE, 2020, 40(22): 7296-7306. [26] 丁明, 鲍玉莹, 毕锐. 应用改进马尔科夫链的光伏出力时间序列模拟[J]. 电网技术, 2016, 40(2): 459-464. Ding Ming, Bao Yuying, Bi Rui.Simulation of PV output time series used improved Markov chain[J]. Power System Technology, 2016, 40(2): 459-464. [27] 夏依莎, 刘俊勇, 刘继春, 等. 奖罚机制下的互补发电系统中长期与日前嵌套鲁棒优化调度模型[J]. 电网技术, 2021, 45(10): 3813-3822. Xia Yisha, Liu Junyong, Liu Jichun, et al.Medium long-term and day-ahead nested robust optimal scheduling for complementary power generation systems under reward-punishment mechanism[J]. Power System Technology, 2021, 45(10): 3813-3822. [28] 叶畅, 曹侃, 丁凯, 等. 基于广义储能的多能源系统不确定优化调度策略[J]. 电工技术学报, 2021, 36(17): 3753-3764. Ye Chang, Cao Kan, Ding Kai, et al.Uncertain optimal dispatch strategy based on generalized energy storage for multi-energy system[J]. Transactions of China Electrotechnical Society, 2021, 36(17): 3753-3764. [29] 杨海涛, 吴国旸, 陈西颖, 等. 用于间歇性电源高渗透电网规划的安全性评估方法[J]. 电力系统自动化, 2012, 36(24): 15-20. Yang Haitao, Wu Guoyang, Chen Xiying, et al.A security assessment method for power grid planning under high penetration of variable generation[J]. Automation of Electric Power Systems, 2012, 36(24): 15-20. [30] 安源, 方伟, 黄强, 等. 水-光互补协调运行的理论与方法初探[J]. 太阳能学报, 2016, 37(8): 1985-1992. An Yuan, Fang Wei, Huang Qiang, et al.Preliminary research of theory and method of hydro/solar complementary operation[J]. Acta Energiae Solaris Sinica, 2016, 37(8): 1985-1992. [31] 朱燕梅, 陈仕军, 马光文, 等. 计及发电量和出力波动的水光互补短期调度[J]. 电工技术学报, 2020, 35(13): 2769-2779. Zhu Yanmei, Chen Shijun, Ma Guangwen, et al.Short-term complementary operation of hydro-photovoltaic integrated system considering power generation and output fluctuation[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2769-2779. [32] 张振东, 罗斌, 覃晖, 等. 风光水互补系统时间序列变量概率预报框架[J]. 水利学报, 2022, 53(8): 949-963. Zhang Zhendong, Luo Bin, Qin Hui, et al.A probabilistic forecasting framework of time series variables for wind-solar-hydropower hybrid systems[J]. Journal of Hydraulic Engineering, 2022, 53(8): 949-963. [33] 李家叶, 贾昆, 李铁键, 等. 多尺度多模型的梯级水库优化调度决策支持系统[J]. 应用基础与工程科学学报, 2018, 26(6): 1164-1176. Li Jiaye, Jia Kun, Li Tiejian, et al.A decision support system for optimal scheduling of cascade reservoirs with multiple time scales and multiple models[J]. Journal of Basic Science and Engineering, 2018, 26(6): 1164-1176. [34] 吴志远, 黄显峰, 李昌平, 等. 基于分段粒子群算法的梯级水库多目标优化调度模型研究[J]. 水资源与水工程学报, 2020, 31(3): 145-154. Wu Zhiyuan, Huang Xianfeng, Li Changping, et al.Multi-objective optimal dispatch model of cascade reservoirs based on piecewise particle swarm optimization algorithm[J]. Journal of Water Resources and Water Engineering, 2020, 31(3): 145-154.