计及线路优化投切限流的含风电电网扩展规划方法

doi:10.11930/j.issn.1004-9649.202303056

摘要/Abstract

摘要： 为应对以风电为代表的新能源大规模接入电力系统带来的新挑战，提出了一种计及线路优化投切限流的含风电电网扩展规划模型。首先，从系统负荷变化引起常规火电机组启停的角度出发，将典型场景下的短路电流约束转化为对应机组启停状态下的约束，通过对风电场集电系统的结构等值研究风电场的等效表达式，引入考虑风电接入的短路电流约束。然后，确定电网扩展规划总体思路，以总投资最小为目标函数，建立综合考虑储能、需求侧响应以及短路电流约束的电网规划混合整数线性规划模型并求解。最后，以IEEE-RTS 24节点系统为例，通过设置不同的案例对比分析，验证了所提方法的有效性。

关键词: 短路电流约束, 风电场等效, 线路投切, 电网规划, 机组启停状态

Abstract: In order to address the new challenges brought by the large-scale integration of new energy into the power system represented by wind power, a wind power grid expansion planning model considering line optimization, switching, and current limiting is proposed. First of all, from the perspective of conventional thermal power unit startup and shutdown caused by system load change, the short circuit current constraint in typical scenarios is converted into the constraint under the corresponding unit startup and shutdown status. The equivalent expression of wind farm is studied by the structural equivalence of wind farm’s power collection system, and the short circuit current constraint considering the wind power connection is introduced. Secondly, by determining the overall idea of power grid expansion planning and taking the minimum total investment as the objective function, the mixed integer linear programming model of power grid planning is established and solved that comprehensively considers the energy storage, demand-side response and short-circuit current constraints. Finally, taking IEEE-RTS 24-node system as an example, the effectiveness of the proposed method is verified by setting different cases for comparative analysis.

Key words: short-circuit current constraint, wind farm equivalence, line switching, power grid planning, unit startup and shutdown status

中图分类号:

TM715

董淑文, 刘宝柱, 胡俊杰. 计及线路优化投切限流的含风电电网扩展规划方法[J]. 中国电力, 2023, 56(8): 117-125,142.

DONG Shuwen, LIU Baozhu, HU Junjie. Expansion Planning Method of Power Grid with Wind Power Considering Optimal Switching and Current Limiting[J]. Electric Power, 2023, 56(8): 117-125,142.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202303056

https://www.electricpower.com.cn/CN/Y2023/V56/I8/117

参考文献

[1] 别朝红, 王旭, 胡源. 能源互联网规划研究综述及展望[J]. 中国电机工程学报, 2017, 37(22): 6445–6462, 6757
BIE Zhaohong, WANG Xu, HU Yuan. Review and prospect of planning of energy Internet[J]. Proceedings of the CSEE, 2017, 37(22): 6445–6462, 6757
[2] 金晨, 任大伟, 肖晋宇, 等. 支撑碳中和目标的电力系统源-网-储灵活性资源优化规划[J]. 中国电力, 2021, 54(8): 164–174
JIN Chen, REN Dawei, XIAO Jinyu, et al. Optimization planning on power system supply-grid-storage flexibility resource for supporting the “carbon neutrality” target of China[J]. Electric Power, 2021, 54(8): 164–174
[3] 郭琦, 卢远宏. 新型电力系统的建模仿真关键技术及展望[J]. 电力系统自动化, 2022, 46(10): 18–32
GUO Qi, LU Yuanhong. Key technologies and prospects of modeling and simulation of new power system[J]. Automation of Electric Power Systems, 2022, 46(10): 18–32
[4] 黄英, 刘宝柱, 王坤宇, 等. 考虑风电接纳能力的储输联合规划[J]. 电网技术, 2018, 42(5): 1480–1489
HUANG Ying, LIU Baozhu, WANG Kunyu, et al. Joint planning of energy storage and transmission network considering wind power accommodation capability[J]. Power System Technology, 2018, 42(5): 1480–1489
[5] 黄宗龙, 江修波, 刘丽军. 低碳化背景下配电网“源—储—荷”多目标优化配置[J]. 电力科学与技术学报, 2020, 35(5): 36–45
HUANG Zonglong, JIANG Xiubo, LIU Lijun. Multi-objective optimal allocation of “generation-storage-load” under the low-carbon background[J]. Journal of Electric Power Science and Technology, 2020, 35(5): 36–45
[6] 刘沅昆, 张维静, 张艳, 等. 面向新型电力系统的新能源与储能联合规划方法[J]. 智慧电力, 2022, 50(10): 1–8
LIU Yuankun, ZHANG Weijing, ZHANG Yan, et al. Joint planning method of renewable energy and energy storage for new-type power system[J]. Smart Power, 2022, 50(10): 1–8
[7] ZENG B, ZHANG J H, YANG X, et al. Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response[J]. IEEE Transactions on Power Systems, 2014, 29(3): 1153–1165.
[8] 陈倩, 王维庆, 王海云. 基于需求侧响应的主动配电网双层优化方法[J]. 电力系统保护与控制, 2022, 50(16): 1–13
CHEN Qian, WANG Weiqing, WANG Haiyun. Bi-level optimization model of an active distribution network based on demand response[J]. Power System Protection and Control, 2022, 50(16): 1–13
[9] 王伟臣, 张天宇, 宣文博, 等. 考虑机组组合和网络结构优化的电网规划方法[J]. 电力系统及其自动化学报, 2021, 33(2): 108–115
WANG Weichen, ZHANG Tianyu, XUAN Wenbo, et al. Power system planning method considering unit commitment and optimal transmission switching[J]. Proceedings of the CSU-EPSA, 2021, 33(2): 108–115
[10] NUMAN M, FENG D H, ABBAS F, et al. Impact assessment of a co-optimized dynamic line rating and transmission switching topology on network expansion planning[J]. International Transactions on Electrical Energy Systems, 2020, 30(8): e12457.
[11] UÇKUN C, BOTTERUD A, BIRGE J R. An improved stochastic unit commitment formulation to accommodate wind uncertainty[J]. IEEE Transactions on Power Systems, 2016, 31(4): 2507–2517.
[12] 王子文, 张英敏, 刘天琪, 等. 基于伴随网络的直流电网短路电流计算方法[J]. 中国电力, 2021, 54(10): 2–10, 27
WANG Ziwen, ZHANG Yingmin, LIU Tianqi, et al. A short-circuit current calculation method based on adjoint network for DC grid[J]. Electric Power, 2021, 54(10): 2–10, 27
[13] 华浩丞, 刘天琪, 何川, 等. 计及机组启停与线路投切显式短路电流约束的电力系统日前优化调度[J]. 中国电机工程学报, 2022, 42(5): 1724–1736
HUA Haocheng, LIU Tianqi, HE Chuan, et al. Day-ahead optimal scheduling of power system considering explicit short-circuit current constraints with the impact of commitment of units and transmission switching[J]. Proceedings of the CSEE, 2022, 42(5): 1724–1736
[14] 任乙沛. 面向短路电流越限消除的多馈入系统网架结构优化方法[D]. 北京: 华北电力大学, 2021.
REN Yipei. Optimal transmission switching method for eliminating short circuit current overlimit in multi-infeed system[D]. Beijing: North China Electric Power University, 2021.
[15] 李少岩, 任乙沛, 顾雪平, 等. 基于短路电流约束显式线性建模的输电网结构优化[J]. 电工技术学报, 2020, 35(15): 3292–3302
LI Shaoyan, REN Yipei, GU Xueping, et al. Optimization of transmission network structure based on explicit linear modeling of short circuit current constraints[J]. Transactions of China Electrotechnical Society, 2020, 35(15): 3292–3302
[16] 程浩忠, 张程铭, 柳璐, 等. 可再生能源接入下考虑短路电流限制的发输电鲁棒规划方法[J]. 电力系统自动化, 2021, 45(10): 68–76
CHENG Haozhong, ZHANG Chengming, LIU Lu, et al. Robust planning method for power generation and transmission with renewable energy integration considering short-circuit current limit[J]. Automation of Electric Power Systems, 2021, 45(10): 68–76
[17] 宋柄兵, 顾洁. 考虑线路开断限流的输电网双层扩展规划模型及应用[J]. 水电能源科学, 2016, 34(3): 192–196
SONG Bingbing, GU Jie. Transmission system Bi-level expansion planning model and its application considering opening lines for short circuit current limiting[J]. Water Resources and Power, 2016, 34(3): 192–196
[18] 李媛媛, 孙自安, 张志刚, 等. 大规模风电机组集中接入对系统短路电流的影响[J]. 中国电力, 2018, 51(4): 33–38, 88
LI Yuanyuan, SUN Zian, ZHANG Zhigang, et al. Impact of wind centralized access on system short circuit current[J]. Electric Power, 2018, 51(4): 33–38, 88
[19] 石志伟. 计及FACTS校正的N-k故障约束鲁棒机组组合[J]. 南方电网技术, 2021, 15(12): 11–19
SHI Zhiwei. N-k contingency constrained robust unit commitment considering the corrective control of FACTS[J]. Southern Power System Technology, 2021, 15(12): 11–19
[20] 王清. 双馈风电接入对电力系统稳定性影响机理研究[D]. 北京: 华北电力大学, 2016.
WANG Qing. Mechanism of the impact of DFIGs on power system stability[D]. Beijing: North China Electric Power University, 2016.
[21] 孙建锋. 风电场建模和仿真研究[D]. 北京: 清华大学, 2004.
SUN Jianfeng. Research on wind farm modeling and simulating[D]. Beijing: Tsinghua University, 2004.
[22] 高钰莹. 大规模风电场集电线和送出线故障选线与测距新方法研究[D]. 昆明: 昆明理工大学, 2020.
GAO Yuying. Study on new method of fault line selection and location for gathering and sending lines of large-scale wind farm[D]. Kunming: Kunming University of Science and Technology, 2020.
[23] GRIGG C, WONG P, ALBRECHT P, et al. The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee[J]. IEEE Transactions on Power Systems, 1999, 14(3): 1010–1020.
[24] TEIMOURZADEH S, AMINIFAR F. MILP formulation for transmission expansion planning with short-circuit level constraints[J]. IEEE Transactions on Power Systems, 2016, 31(4): 3109–3118.
[25] 夏冰阳. 配网考虑风储与DR协调优化规划与运行控制策略研究[D]. 北京: 华北电力大学, 2018.
XIA Bingyang. Research on optimal planning and operation control strategy of distribution network considering wind power integration and demand response strategies[D]. Beijing: North China Electric Power University, 2018.