考虑多重不确定性的虚拟电厂经济优化调度

黄正伟; 李熠俊; 魏业文; 陈庆; 吕荣胜; 翁世洲

doi:10.19912/j.0254-0096.tynxb.2024-0366

PDF(1891 KB)

太阳能学报 ›› 2025, Vol. 46 ›› Issue (7) : 196-205. DOI: 10.19912/j.0254-0096.tynxb.2024-0366

第二十七届中国科协年会学术论文

考虑多重不确定性的虚拟电厂经济优化调度

黄正伟¹, 李熠俊², 魏业文^2,3, 陈庆³, 吕荣胜², 翁世洲^1,4

作者信息 +

ECONOMIC OPTIMAL DISPATCH OF VIRTUAL POWER PLANT CONSIDERING MULTIPLE UNCERTAINTIES

Huang Zhengwei¹, Li Yijun², Wei Yewen^2,3, Chen Qing³, Lyu Rongsheng², Weng Shizhou^1,4

Author information +

文章历史 +

摘要

针对现有能源结构调节能力不足而产生风光消纳率低的问题,提出考虑多重不确定性的虚拟电厂经济优化调度模型。考虑虚拟电厂风光出力的不确定性和相关性,利用拉丁超立方抽样方法构建多个风光出力场景,采用改进的迭代自组织数据分析算法缩减得出典型场景;根据日前预测所得风光出力值制定虚拟电厂日内的动态分时电价以解决电价不确定性,并通过动态分时电价下的价格型需求响应充分调动需求侧资源;在此基础上建立以多能互补虚拟电厂交易日内总运行成本最小化的经济优化调度模型,采用雪消融算法对该模型优化求解;通过算例仿真,结果表明所构建的模型能提高多能互补虚拟电厂运行的经济性。

Abstract

Aiming at the problem of low accommodation rate of wind and solar energy caused by insufficient adjustment ability of existing energy structure, an economic optimal dispatching model of virtual power plant considering multiple uncertainties is proposed. Considering the uncertainty and correlation of the wind and solar output in virtual power plant, multiple scenarios of wind and light output are constructed using a Latin hypercube sampling method and reduced to derive typical scenarios using an improved iterative self-organizing data analysis algorithm. According to the wind and solar output value obtained from the day-ahead forecast, the dynamic time-of-use electricity price of virtual power plant is formulated to solve the uncertainty of the electricity price, and the demand-side resources are fully mobilized through the price-based demand response under the dynamic time-of-use electricity price. On this basis, an economic optimal dispatching model is established to minimize the total operating cost of the multi-energy complementary virtual power plant in the trading day, and the snow ablation algorithm is used to optimize the model. The simulation results show that the model can improve the economy of multi-energy complementary virtual power plant operation.

导出引用

黄正伟, 李熠俊, 魏业文, 陈庆, 吕荣胜, 翁世洲. 考虑多重不确定性的虚拟电厂经济优化调度[J]. 太阳能学报. 2025, 46(7): 196-205 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0366

Huang Zhengwei, Li Yijun, Wei Yewen, Chen Qing, Lyu Rongsheng, Weng Shizhou. ECONOMIC OPTIMAL DISPATCH OF VIRTUAL POWER PLANT CONSIDERING MULTIPLE UNCERTAINTIES[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 196-205 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0366

中图分类号： TM73

参考文献

[1] 高洪超, 王宣元, 邱小燕, 等. 新型电力系统环境下的虚拟电厂辅助调峰市场机制及其商业模式设计[J]. 太阳能学报, 2023, 44(3): 376-385.
GAO H C, WANG X Y, QIU X Y, et al.Ramping energy market mechanism and its business model of virtual power plants oriented to new power system[J]. Acta energiae solaris sinica, 2023, 44(3): 376-385.
[2] 祖广伟, 俞海侠, 张琳, 等. 考虑日前偏差与电网需求的虚拟电厂云边协同实时调控方法[J]. 现代电力, 2025, 42(1): 28-38.
ZU G W, YU H X, ZHANG L, et al.Cloud-edge collaborative real-time optimal schedule method of virtual power plant considering day-ahead deviation and grid demand[J]. Modern electric power, 2025, 42(1): 28-38.
[3] 薛景润, 施啸寒, 曹永吉, 等. 虚拟电厂短时长精细化生产模拟方法与系统[J]. 中国电机工程学报, 2023, 43(9): 3366-3381.
XUE J R, SHI X H, CAO Y J, et al.Refined modeling and system of virtual power plant short term production simulation[J]. Proceedings of the CSEE, 2023, 43(9): 3366-3381.
[4] 李淑静, 谭清坤, 张煜, 等. 虚拟电厂关键技术及参与电力市场模式设计研究[J]. 电测与仪表, 2022, 59(12): 33-40.
LI S J, TAN Q K, ZHANG Y, et al.Research on the key technologies of virtual power plant and its participation in power market mode design[J]. Electrical measurement & instrument, 2022,59(12): 33-40.
[5] LEE J, WON D.Optimal operation strategy of virtual power plant considering real-time dispatch uncertainty of distributed energy resource aggregation[J]. IEEE access, 9(2021): 56965-56983.
[6] 李嘉森, 王进, 杨蒙, 等. 基于随机优化的虚拟电厂热电联合经济优化调度[J]. 太阳能学报, 2023, 44(9): 57-65.
LI J S, WANG J, YANG M, et al.Combined heat power economic optimal dispatching in virtual power plant based on stochastic optimization[J]. Acta energiae solaris sinica, 2023, 44(9): 57-65.
[7] KONG X, XIAO J, LIU D, et al.Robust stochastic optimal dispatching method of multi-energy virtual power plant considering multiple uncertaintiest[J]. Applied energy, 2020, 279:115707.
[8] NAVID R,YASIN P,PIR R M.Optimal stochastic self-scheduling of a water-energy virtual power plant considering data clustering and multiple storage systems[J]. Journal of energy storage, 2023, 65: 107366.
[9] 魏震波, 孙舟倍, 梁政. 基于多目标两阶段规划的虚拟电厂优化调度[J]. 南方电网技术, 2023, 17(4): 109-118.
WEI Z B, SUN Z B, LIANG Z.Virtual power plant optimal dispatching based on multi-objective two-stage planning[J]. Southern power system technology, 2023, 17(4): 109-118.
[10] 刘丽军, 罗宁, 吴桐, 等. 基于混合整数二阶锥规划的考虑需求侧响应虚拟电厂优化调度[J]. 太阳能学报,2021, 42(8): 96-104.
LIU L J, LUO N, WU T, et al.Optimal scheduling of virtual power plants considering demand side response based on mixed integer second-order cone programming[J]. Acta energiae solaris sinica, 2021,42(8): 96-104.
[11] 刘浩田, 陈锦, 朱熹, 等. 一种基于价格弹性矩阵的居民峰谷分时电价激励策略[J]. 电力系统保护与控制,2021, 49(5): 116-123.
LIU H T, CHEN J, ZHU X, et al.An incentive strategy of residential peak-valley price based on price elasticity matrix of demand[J]. Power system protection and control, 2021, 49(5): 116-123.
[12] 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.
[13] 陈厚合, 王子璇, 张儒峰, 等. 含虚拟电厂的风电并网系统分布式优化调度建模[J]. 中国电机工程学报, 2019, 39(9): 2615-2625.
CHEN H H, WANG Z X, ZHANG R F, et al.Decentralized optimal dispatching modeling for wind power integrated power system with virtual power plant[J]. Proceedings of the CSEE, 2019, 39(9): 2615-2625.
[14] 刘吉成, 冯淑贤, 宋亚楠, 等. 计及源荷不确定性的虚拟电厂优化调度模型[J/OL]. 现代电力, 1-11[2024-06-15].
LIU J C, FENG S X, SONG Y N, et al.A scheduling model of virtual power plant considering source-load uncertainty[J/OL]. Modern power, 1-11[2024-06-15].
[15] 袁桂丽, 王琳博, 王宝源. 基于虚拟电厂“热电解耦”的负荷优化调度及经济效益分析[J]. 中国电机工程学报, 2017, 37(17): 4974-4985.
YUAN G L, WANG L B, WANG B Y.Optimal dispatch of heat-power load and economy benefit analysis based on decoupling of heat and power of virtual power plant[J]. Proceedings of the CSEE. 2017, 37(17): 4974-4985.
[16] 韩志永, 张宇华, 李兵. 基于多场景技术的冷热电虚拟电厂两阶段优化调度[J]. 电测与仪表, 2022, 59(3): 174-180.
HAN Z Y, ZHANG Y H, LI B.Two-stage optimal dispatching of CCHP virtual power plant based on multi-scenario technology[J]. Electrical measurement & instrument, 2022, 59(3): 174-180.
[17] 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/solar/gas/storage virtual power plant based on time-of-use power price[J]. Acta energiae solaris sinica, 2020, 41(8): 115-122.
[18] 闫鹏, 曾四鸣, 李铁成, 等. 基于改进量子遗传算法的虚拟电厂在多时间尺度下参与AGC优化调度[J]. 电网与清洁能源, 2023, 39(3): 23-32.
YAN P, ZENG S M, LI T C, et al.Optimal scheduling of virtual power plant participating in AGC based on improved quantum genetic algorithm on mult-time scale[J]. Power system and clean energy, 2023, 39(3): 23-32.
[19] 檀勤良, 梅书凡, 代美, 等. 基于动态响应电价的微电网优化调度研究[J]. 价格理论与实践, 2021, (11): 173-176, 200.
TAN Q L, MEI S F, DAI M, et al.Optimal scheduling research based on dynamic response electricity price[J]. Price theory and practice, 2021, (11): 173-176, 200.
[20] 别朝红, 胡国伟, 谢海鹏, 等. 考虑需求响应的含风电电力系统的优化调度[J]. 电力系统自动化, 2014, 38(13): 115-120, 159.
BIE C H, HU G W, XIE H P, et al.Optimal dispatch for wind power integrated systems considering demand response[J]. Automation of electric power systems ,2014, 38(13): 115-120, 159.
[21] 严岩, 苏宏升, 车玉龙. 基于改进LHS的含风电电力系统概率潮流计算[J]. 太阳能学报, 2018, 39(4): 1111-1118.
YAN Y, SU H S, CHE Y L.Probabilistic power flow calculation of power system considering wind power based on improved LHS[J]. Acta energiae solaris sinica, 2018, 39(4): 1111-1118.
[22] 杜宇龙, 徐天奇, 李琰, 等. 基于自适应扩散高斯核密度风电预测误差估计的风火联合优化调度研究[J]. 电力系统保护与控制, 2022, 50(21): 11-21.
DU Y L, XU T Q, LI Y, et al.Wind-fire joint optimal dispatching based on adaptive diffusion Gaussian kernel density wind farm output power forecast error estimation[J]. Power system protection and control, 2022, 50(21): 11-21.
[23] DENG L Y,LIU S Y.Snow ablation optimizer: a novel metaheuristic technique for numerical optimization and engineering design[J]. Expert systems with applications, 2023, 225: 120069.
[24] 吉铭成, 范雨顺, 党恩帅, 等. 梯形半云PBDR-VPP源荷协调经济调度[J]. 电力系统及其自动化学报, 2024,36(1): 132-140.
JI M C, FAN Y S, DANG E S, et al.Trapezoidal semi cloud PBDR-VPP coordinated economic dispatch of source and load[J]. Proceedings of the CSU-EPSA, 2024,36(1): 132-140.