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投稿时间：2024-03-18
投稿时间：2024-03-18
中文摘要: 高比例新能源接入电网，对电力系统的灵活调节能力提出了更高要求。提出了一种工业园区向上级电力系统提供爬坡服务的优化调度模型。首先，对风光不确定性进行处理生成典型场景，计算系统的灵活爬坡需求。然后，综合考虑调度成本与爬坡收益，以园区运行总成本最小为目标构建两阶段优化调度模型。最后，进行案例分析。结果显示：高载能负荷参与灵活爬坡服务后的园区收益较之前增加了57.01%，园区运行成本较高载能负荷未参与时降低了11.5%，有效提升了系统灵活性和降低了园区的运行成本。
Abstract:High proportion of new energy sources accessing the power grid puts higher requirements on the flexible regulation capability of the power system. In this paper，an optimal dispatch model for industrial parks is proposed to provide ramping services to the superior power system. Firstly，the wind and solar uncertainties are processed to generate a typical scenario to calculate the flexible ramping demand of the system. Then，the scheduling cost and ramping benefit are considered comprehensively to construct a two-phase optimal scheduling model with the objective of minimizing the total cost of the park operation. Finally，the case study is conducted and the results show that the revenue of the park after the participation of high-capacity loads in the flexible ramping service increased by 57.01% compared with the previous one，and the park operating cost decreased by 11.5% compared with the time when the high-capacity loads don’t participate，which effectively improves the flexibility of the system and reduces the operating cost of the park.
keywords: high percentage of new energy sources high energy-carrying loads flexible ramping service linear planning two-stage optimization
文章编号：20245007 中图分类号：TM734 文献标志码：
基金项目:国家自然科学基金(51977127);上海市教育发展基金会和上海市教育委员会“曙光计划”(20SG52)。
| 作者 | 单位 | |
| 王悦祺 | 上海电力大学 | |
| 林顺富 | 上海电力大学 上海市智能电网需求响应技术重点实验室 | shunfu-lin@shiep.edu.cn |
| 周波 | 上海电力大学 上海市智能电网需求响应技术重点实验室 | |
| 沈运帷 | 上海电力大学 |
引用文本：
王悦祺,林顺富,周波,等.高载能工业园区灵活性资源优化调度策略[J].上海电力大学学报,2024,40(5):439-448.
WANG Yueqi,LIN Shunfu,ZHOU Bo,et al.Optimized Scheduling Strategy for Flexibility Resources in High Energy-Carrying Industrial Parks[J].Journal of Shanghai University of Electric Power,2024,40(5):439-448.
王悦祺,林顺富,周波,等.高载能工业园区灵活性资源优化调度策略[J].上海电力大学学报,2024,40(5):439-448.
WANG Yueqi,LIN Shunfu,ZHOU Bo,et al.Optimized Scheduling Strategy for Flexibility Resources in High Energy-Carrying Industrial Parks[J].Journal of Shanghai University of Electric Power,2024,40(5):439-448.