考虑风光及负荷不确定性的虚拟电厂低碳经济调度

吕游; 毛乃新; 秦瑞钧; 张谦; 辛晓钢

doi:10.19912/j.0254-0096.tynxb.2023-1195

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (11) : 116-123. DOI: 10.19912/j.0254-0096.tynxb.2023-1195

考虑风光及负荷不确定性的虚拟电厂低碳经济调度

吕游¹, 毛乃新¹, 秦瑞钧¹, 张谦², 辛晓钢²

作者信息 +

LOW-CARBON ECONOMIC DISPATCH OF VIRTUAL POWER PLANTS CONSIDERING WIND POWER, PHOTOVOLTAIC AND LOAD UNCERTAINTY

Lyu You¹, Mao Naixin¹, Qin Ruijun¹, Zhang Qian², Xin Xiaogang²

Author information +

文章历史 +

摘要

针对风光出力及负荷预测的不确定性对电力系统调度计划产生的影响,提出考虑不确定性的虚拟电厂低碳经济调度方法。首先,以虚拟电厂运行总成本最小为目标,建立优化调度模型;同时考虑到虚拟电厂的碳排放情况,将阶梯型碳交易模型加入目标函数中进行调度;其次,引入模糊机会约束算法,对风光出力及负荷的不确定性进行处理;最后,算例结果表明所提调度模型的有效性,即综合考虑模糊机会约束和阶梯型碳交易的调度模型可有效提高新能源渗透率并降低系统碳排放。在此基础上,可通过设置置信水平来控制风险,保证系统的安全稳定运行。

Abstract

In view of the influence of uncertainty of wind, solar output and load forecast on power system dispatching, a low-carbon economic dispatching method for virtual power plants considering uncertainty is proposed in this paper. Firstly, the optimal dispatching model is established to minimize the total operating cost of virtual power plants. At the same time, considering the carbon emission of the virtual power plants, the stepped carbon trading model is added to the objective function for dispatching. Secondly, the fuzzy chance constraint algorithm is introduced to deal with the uncertainty of wind, solar output and load. Finally, the results of the example show the effectiveness of the proposed dispatching model, that is, the dispatching model considering fuzzy chance constraints and stepped carbon trading can effectively improve the penetration rate of new energy and reduce the carbon emissions of the system. On this basis, the risk can be controlled by setting the confidence level to ensure the safe and stable operation of the system.

导出引用

吕游, 毛乃新, 秦瑞钧, 张谦, 辛晓钢. 考虑风光及负荷不确定性的虚拟电厂低碳经济调度[J]. 太阳能学报. 2024, 45(11): 116-123 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1195

Lyu You, Mao Naixin, Qin Ruijun, Zhang Qian, Xin Xiaogang. LOW-CARBON ECONOMIC DISPATCH OF VIRTUAL POWER PLANTS CONSIDERING WIND POWER, PHOTOVOLTAIC AND LOAD UNCERTAINTY[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 116-123 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1195

中图分类号： TM73

参考文献

[1] 李晖, 刘栋, 姚丹阳. 面向碳达峰碳中和目标的我国电力系统发展研判[J]. 中国电机工程学报, 2021, 41(18): 6245-6258.
LI H, LIU D, YAO D Y.Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality[J]. Proceedings of the CSEE, 2021, 41(18): 6245-6258.
[2] 张大海, 贠韫韵, 王小君, 等. 计及风光不确定性的新能源虚拟电厂多时间尺度优化调度[J]. 太阳能学报, 2022, 43(11): 529-537.
ZHANG D H, YUN Y Y, WANG X J, et al.Multi-time scale of new energy scheduling optimization for virtual power plant considering uncertainty of wind power and photovoltaic power[J]. Acta energiae solaris sinica, 2022, 43(11): 529-537.
[3] 潘华, 梁作放, 薛强中, 等. 基于分时电价的含风-光-气-储虚拟电厂经济调度[J]. 太阳能学报, 2020, 41(8): 115-122.
PAN H, LIANG Z F, XUE Q Z, et al.Economic dispatch of wind/PV/gas/storage virtual power plant based on time-of-use power price[J]. Acta energiae solaris sinica, 2020, 41(8): 115-122.
[4] 杜刚, 赵冬梅, 刘鑫. 计及风电不确定性优化调度研究综述[J]. 中国电机工程学报, 2023, 43(7): 2608-2626.
DU G, ZHAO D M, LIU X.Research review on optimal scheduling considering wind power uncertainty[J]. Proceedings of the CSEE, 2023, 43(7): 2608-2626.
[5] 周博, 吕林, 高红均, 等. 基于两阶段随机规划的虚拟电厂优化交易策略[J]. 电力建设, 2018, 39(9): 70-77.
ZHOU B, LYU L, GAO H J, et al.Optimal bidding strategy based on two-stage stochastic programming for virtual power plant[J]. Electric power construction, 2018, 39(9): 70-77.
[6] 崔杨, 张家瑞, 仲悟之, 等. 计及电热转换的含储热光热电站与风电系统优化调度[J]. 中国电机工程学报, 2020, 40(20): 6482-6493.
CUI Y, ZHANG J R, ZHONG W Z, et al.Optimal scheduling of concentrating solar power plant with thermal energy storage and wind farm considering electric-thermal conversion[J]. Proceedings of the CSEE, 2020, 40(20): 6482-6493.
[7] 蒋方帅, 曹俊波, 周志华, 等. 计及风险的分布式电源与储能虚拟电厂鲁棒优化调度[J]. 现代电力, 2023, 40(4): 570-576.
JIANG F S, CAO J B, ZHOU Z H, et al.Robust optimal scheduling of distributed power and storage virtual power plants considering risks[J]. Modern electric power, 2023, 40(4): 570-576.
[8] TAN Z F, FAN W, LI H F, et al.Dispatching optimization model of gas-electricity virtual power plant considering uncertainty based on robust stochastic optimization theory[J]. Journal of cleaner production, 2020, 247: 119106.
[9] 邱革非, 何超, 骆钊, 等. 考虑源、荷不确定性的工业园区电-气互联综合能源系统模糊优化调度[J]. 电力自动化设备, 2022, 42(5): 8-14.
QIU G F, HE C, LUO Z, et al.Fuzzy optimal scheduling of integrated electricity and natural gas system in industrial park considering source-load uncertainty[J]. Electric power automation equipment, 2022, 42(5): 8-14.
[10] 张涛, 黄明娟, 刘伉, 等. 计及源荷不确定性和变工况特性的区域综合能源系统优化调度[J]. 智慧电力, 2022, 50(8): 109-117.
ZHANG T, HUANG M J, LIU K, et al.Optimal scheduling of regional integrated energy system considering source-load uncertainty and variable condition characteristic[J]. Smart power, 2022, 50(8): 109-117.
[11] 张通, 刘理峰, 杨才明, 等. 考虑需求响应和风电不确定性的能源系统调度[J]. 浙江大学学报(工学版), 2020, 54(8): 1562-1571.
ZHANG T, LIU L F, YANG C M, et al.Energy system scheduling considering demand response and wind power uncertainty[J]. Journal of Zhejiang University (engineering science), 2020, 54(8): 1562-1571.
[12] 仲悟之, 黄思宇, 崔杨, 等. 考虑源荷不确定性的风电-光热-碳捕集虚拟电厂协调优化调度[J]. 电网技术, 2020, 44(9): 3424-3432.
ZHONG W Z, HUANG S Y, CUI Y, et al.W-S-C capture coordination in virtual power plant considering source-load uncertainty[J]. Power system technology, 2020, 44(9): 3424-3432.
[13] 朱建全, 刘海欣, 叶汉芳, 等. 园区综合能源系统优化运行研究综述[J]. 高电压技术, 2022, 48(7): 2469-2482.
ZHU J Q, LIU H X, YE H F, et al.Review on optimal operation of park-level integrated energy system[J]. High voltage engineering, 2022, 48(7): 2469-2482.
[14] 袁桂丽, 刘培德, 唐福斌, 等. 计及绿色电力证书与碳交易制度的 “源-荷” 协调优化调度[J]. 太阳能学报, 2022, 43(6): 190-195.
YUAN G L, LIU P D, TANG F B, et al.Source-load coordination optimal scheduling considering green power certificate and carbon trading mechanisms[J]. Acta energiae solaris sinica, 2022, 43(6): 190-195.
[15] 杨柳, 张超, 蒋勃, 等. 考虑用户满意度的虚拟电厂热电联合低碳经济调度模型[J]. 热力发电, 2019, 48(9): 40-45.
YANG L, ZHANG C, JIANG B, et al.A combined low-carbon economic dispatching model for virtual power plant considering customer satisfaction index[J]. Thermal power generation, 2019, 48(9): 40-45.
[16] 崔杨, 周慧娟, 仲悟之, 等. 考虑源荷两侧不确定性的含风电电力系统低碳调度[J]. 电力自动化设备, 2020, 40(11): 85-91.
CUI Y, ZHOU H J, ZHONG W Z, et al.Low-carbon scheduling of power system with wind power considering uncertainty of both source and load sides[J]. Electric power automation equipment, 2020, 40(11): 85-91.
[17] 李政洁, 于强, 龚文杰, 等. 计及模糊机会约束的电-气-热能源枢纽多目标优化调度[J]. 电力系统及其自动化学报, 2021, 33(9): 49-56.
LI Z J, YU Q, GONG W J, et al.Multi-objective optimal scheduling of electricity-gas-heat energy hub considering fuzzy chance constraint[J]. Proceedings of the CSU-EPSA, 2021, 33(9): 49-56.
[18] 叶浩劼, 谢丽蓉, 邓佳桐, 等. 考虑碳交易机制的风-火协调低碳优化调度[J]. 太阳能学报, 2023, 44(6): 106-112.
YE H J, XIE L R, DENG J T, et al.Wind-fire coordinated low-carbon optimal dispatch considering carbon trading mechanism[J]. Acta energiae solaris sinica, 2023, 44(6): 106-112.