含高比例可再生能源园区混合储能系统能量-功率跨季节协调调度方法

doi:10.16183/j.cnki.jsjtu.2024.243

上海交通大学学报 ›› 2026, Vol. 60 ›› Issue (4): 682-694.doi: 10.16183/j.cnki.jsjtu.2024.243

• 新型电力系统与综合能源 • 上一篇下一篇

含高比例可再生能源园区混合储能系统能量-功率跨季节协调调度方法

石子川¹, 邰能灵²(), 樊飞龙², 陈新仪³, 刘仲³, 张希鹏³

¹ 上海交通大学电气工程学院, 上海 200240
² 上海交通大学国家电投智慧能源创新学院, 上海 200240
³ 国家电网有限公司华东分部, 上海 200002

收稿日期:2024-06-24 修回日期:2024-08-15 接受日期:2024-09-23 出版日期:2026-04-28 发布日期:2026-04-29
通讯作者: 邰能灵 E-mail:nltai@sjtu.edu.cn
作者简介:石子川(1997—),博士生,研究方向为综合能源系统优化调度.
基金资助:
国家自然科学基金(52337006);国家电网有限公司华东分部科学技术项目(SGHD0000WJJS2310330)

Cross-Season Energy-Power Coordinated Dispatch Method for Hybrid Energy Storages Systems in Renewable-Rich Parks

SHI Zichuan¹, TAI Nengling²(), FAN Feilong², CHEN Xinyi³, LIU Zhong³, ZHANG Xipeng³

¹ School of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
² College of Smart Energy, Shanghai Jiao Tong University, Shanghai 200240, China
³ East China Branch of State Grid Corporation of China, Shanghai 200002, China

Received:2024-06-24 Revised:2024-08-15 Accepted:2024-09-23 Online:2026-04-28 Published:2026-04-29
Contact: TAI Nengling E-mail:nltai@sjtu.edu.cn

摘要/Abstract

摘要：

针对能源系统弃风光率高、出力不稳定、经济效益低的问题,提出一种面向含高比例可再生能源园区混合储能系统的协调调度方法,以提升经济效益、降低碳排放为目标.该方法充分利用不同储能的动态响应特性与容量差异:氢储能主要承担大功率、小波动的调节需求,电化学储能主要承担小功率、大波动的调节需求,天然气储能在氢储能和电化学储能的基础上进一步增加储能系统的灵活性,平衡园区能源系统的总功率.该方法充分考虑风电、光伏出力、本地负荷与电价的不确定性,构建跨季节-单日-实时多时间尺度调度框架:在跨季节调度阶段,根据四季典型预测数据决策氢储能和天然气储能的全年存储状态;在单日调度阶段,根据单日长期预测制定混合储能的功率调度指令;在实时调度阶段,结合单日调度结果与不确定场景的短期预测,实时调整风电、光伏出力及联络线功率,制定最优运行方案.算例测试表明,所提方法有效降低了能源系统的弃风光率与碳排放,提升了经济效益.

关键词: 含高比例可再生能源园区, 混合储能系统, 能量-功率跨季节调度, 多时间尺度协调运行, 随机优化, 碳交易

Abstract:

To address the high curtailment of wind and solar power, unstable output, and low economic efficiency in energy systems, a coordinated dispatch method for hybrid energy storage system in renewable-rich parks is proposed, aiming to improve economic benefits and reduce carbon emissions. The proposed method fully leverages the dynamic response characteristics capacity differences of different energy storage type. The hydrogen storage system (HSS) primarily handles large-power, small-fluctuation regulation demands, while the battery storage system (BSS) is utilized for the low power demand with high power fluctuation, and gas storage system (GSS) improves system flexibility of the hybrid energy storage, and operates for the power balance of the energy system. The method takes into full account of uncertainties of wind turbines (WTs) output, photovoltaics (PVs) output, local power demand, and electricity prices. During the cross-season dispatch stage, the state of charges of HSS and GSS are determined based on the typical seasonal predicted data. In the single-day dispatch stage, power dispatch instructions for the hybrid energy storage system are generated according to long-term daily prediction. In the real-time dispatch stage, the WTs output is adjusted based on single-day dispatch results and short-term predictions of uncertainty scenarios to formulate an optimal operation plan. The numerical results show that the proposed method effectively reduces wind and solar curtailment and carbon emissions, while enhancing economic efficiency.

Key words: renewable-rich parks, hybrid energy storage system, cross-season energy-power dispatch, multi-timescale coordinated operation, stochastic optimization, carbon trading

中图分类号:

TM734

石子川, 邰能灵, 樊飞龙, 陈新仪, 刘仲, 张希鹏. 含高比例可再生能源园区混合储能系统能量-功率跨季节协调调度方法[J]. 上海交通大学学报, 2026, 60(4): 682-694.

SHI Zichuan, TAI Nengling, FAN Feilong, CHEN Xinyi, LIU Zhong, ZHANG Xipeng. Cross-Season Energy-Power Coordinated Dispatch Method for Hybrid Energy Storages Systems in Renewable-Rich Parks[J]. Journal of Shanghai Jiao Tong University, 2026, 60(4): 682-694.

图/表 10

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参数	数值
${E}_{max}^{HS}$/(kW·h)	12000
${E}_{min}^{HS}$/(kW·h)	2400
${P}_{max}^{ED}$/(kW·h)	800
${P}_{max}^{FC}$/(kW·h)	600
η^ED	0.74
η^FC	0.5
${E}_{min}^{BS}$/(kW·h)	40
${E}_{max}^{BS}$/(kW·h)	160
${P}_{max}^{BS\_C}$、 ${P}_{max}^{BS\_D}$	120
η^BS_C、η^BS_D	0.92
${E}_{max}^{GS}$/(kW·h)	6000
${E}_{min}^{GS}$/(kW·h)	0
${P}_{max}^{HG}$/(kW·h)	200
${P}_{max}^{GT}$/kW	200
η^HG	0.75
η^GT	0.34
单位发电量的碳排放份额/[t·(MW·h)^-1]	0.7598
燃气机组供热基准值/(t·GJ^-1)	0.059

优化方法	可再生能源弃用量/(kW·h)	总运行成本/美元	碳排放量/kg
方法1	1193310.02	152794.44	2088199.75
方法2	348008.47	67660.69	996478.59
方法3	213290.85	45207.27	768174.37
方法4	189109.96	42551.95	733362.64

情况	可再生能源弃用量/(kW·h)	碳排放量/kg	碳交易收益/美元	总运行成本/美元
不考虑碳交易市场	227535.88	779826.76	0	141578.52
考虑碳交易市场	189109.96	733362.64	116380.50	42551.95

含高比例可再生能源园区混合储能系统能量-功率跨季节协调调度方法

Cross-Season Energy-Power Coordinated Dispatch Method for Hybrid Energy Storages Systems in Renewable-Rich Parks

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