MULTI-SCENARIO DISTRIBUTED ROBUST OPTIMAL SCHEDULING OF MULTI-AREA INTEGRATED ENERGY SYSTEMS CONSIDERING PHOTOVOLTAIC UNCERTAINTY

Zheng Shicheng; Xu Hao; Lang Jiahong; Xia Hui

doi:10.19912/j.0254-0096.tynxb.2022-1078

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (3) : 460-469. DOI: 10.19912/j.0254-0096.tynxb.2022-1078

MULTI-SCENARIO DISTRIBUTED ROBUST OPTIMAL SCHEDULING OF MULTI-AREA INTEGRATED ENERGY SYSTEMS CONSIDERING PHOTOVOLTAIC UNCERTAINTY

Zheng Shicheng, Xu Hao, Lang Jiahong, Xia Hui

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Abstract

In order to reduce the influence of photovoltaic output uncertainty on the economy and safety of a multi-region integrated energy system（IES） and improve the stable operation capability of a multi-area IES system in various extreme scenarios, a multi-scene optimization scheduling strategy for multi-area integrated energy system considering the uncertainty of photovoltaic output is proposed. Aiming at the uncertainty of photovoltaic power generation, Latin hypercube sampling and improved artificial bee colony K-means clustering algorithm are used to form a typical photovoltaic scene sets. A thermal network model is established according to the thermal characteristics of heating pipes and the dynamic characteristics of thermal energy transmission. Based on photovoltaic scene information, the operating cost in the day-ahead stage and the adjustment cost of the system under the worst photovoltaic scenario in the real-time stage are taken as the optimization objectives, and a two-stage distribution robust optimization scheduling model is constructed. The two-stage model is solved using a column-and-constraint generation （C&CG） algorithm. Finally, the correctness and feasibility of the proposed strategy are verified by an example.

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renewable energy / uncertainty analysis / scheduling algorithms / multi-area integrated energy system / multi-scenario / distribution robust optimization

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Zheng Shicheng, Xu Hao, Lang Jiahong, Xia Hui. MULTI-SCENARIO DISTRIBUTED ROBUST OPTIMAL SCHEDULING OF MULTI-AREA INTEGRATED ENERGY SYSTEMS CONSIDERING PHOTOVOLTAIC UNCERTAINTY[J]. Acta Energiae Solaris Sinica. 2024, 45(3): 460-469 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1078

References

[1] GEIDL M, ANDERSSON G.Optimal power flow of multiple energy carriers[J]. IEEE transactions on power systems, 2007, 22(1): 145-155.
[2] 徐筝, 孙宏斌, 郭庆来. 综合需求响应研究综述及展望[J]. 中国电机工程学报, 2018, 38(24): 7194-7205, 7446.
XU Z, SUN H B, GUO Q L.Review and prospect of integrated demand response[J]. Proceedings of the CSEE, 2018, 38(24):7194-7205, 7446.
[3] YANG M S, LI J Y, SUN J, et al.Robust optimal scheduling of EHG-IES based on uncertainty of wind power and PV output[J]. International transactions on electrical energy systems, 2022, 2022:1-10.
[4] 王瑾然, 卫志农, 张勇, 等. 计及不确定性的区域综合能源系统日前多目标优化调度[J]. 电网技术, 2018, 42(11): 3496-3506.
WANG J R, WEI Z N, ZHANG Y, et al.Multi-objective optional day-ahead dispatching for regional integrated energy system considering uncertainty[J]. Power system technology, 2018, 42(11): 3496-3506.
[5] 曾贤强, 张警卫, 王晓兰. 计及多重不确定性及光热电站参与的区域综合能源系统配置与运行联合优化[J]. 高电压技术, 2023, 49(1): 353-363.
ZENG X Q, ZHANG J W, WANG X L.Optimal configuration of regional integrated energy system after taking into account multiple uncertainties and the participation of concentrating solar power stations[J]. High voltage engineering, 2023, 49(1): 353-363.
[6] 韩子娇, 李正文, 张文达, 等. 计及光伏出力不确定性的氢能综合能源系统经济运行策略[J]. 电力自动化设备, 2021, 41(10): 99-106.
HAN Z J, LI Z W, ZHANG W D, et al.Economic operation strategy of hydrogen integrated energy system considering uncertainty of photovoltaic output power[J]. Electric power automation equipment, 2021, 41(10): 99-106.
[7] 潘华, 梁作放, 肖雨涵, 等. 多场景下区域综合能源系统的优化运行[J]. 太阳能学报, 2021, 42(1): 484-492.
PAN H, LIANG Z F, XIAO Y H, et al.Optimal operation of regional integrated energy system under multiple scenes[J]. Acta energiae solaris sinica, 2021, 42(1): 484-492.
[8] 钟永洁, 孙永辉, 谢东亮, 等. 含电-热-气-冷子系统的区域综合能源系统多场景优化调度[J]. 电力系统自动化, 2019, 43(12): 76-84.
ZHONG Y J, SUN Y H, XIE D L, et al.Multi-scenario optimal dispatch of regional integrated energy system with power-heating-gas-cooling subsystems[J]. Automation of electric power systems, 2019, 43(12): 76-84.
[9] PENG X, JIRUTITIJAROEN P.A probabilistic unit commitment problem with photovoltaic generation system[C]//TENCON 2009-2009 IEEE Region 10 Conference.Singapore, 2009: 1-6.
[10] 董骁翀, 孙英云, 蒲天骄, 等. 一种基于Wasserstein距离及有效性指标的最优场景约简方法[J]. 中国电机工程学报, 2019, 39(16): 4650-4658, 4968.
DONG X C, SUN Y Y, PU T J, et al.An optimal scenario reduction method based on Wasserstein distance and validity index[J]. Proceedings of the CSEE, 2019, 39(16): 4650-4658, 4968.
[11] 王群, 董文略, 杨莉. 基于Wasserstein距离和改进K-medoids聚类的风电/光伏经典场景集生成算法[J]. 中国电机工程学报, 2015, 35(11): 2654-2661.