| 引用本文: | 林顺富,张 琪,沈运帷,等.面向灵活爬坡服务的高比例新能源电力系统可调节资源优化调度模型[J].电力系统保护与控制,2024,52(2):90-100.[点击复制] |
| LIN Shunfu,ZHANG Qi,SHEN Yunwei,et al.Optimal dispatch model of adjustable resources in a power system with high proportion ofrenewable energy for flexible ramping product[J].Power System Protection and Control,2024,52(2):90-100[点击复制] |
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| 面向灵活爬坡服务的高比例新能源电力系统可调节资源优化调度模型 |
| 林顺富1,2,张琪1,沈运帷1,2,周波1,2,边晓燕1,李东东1,2 |
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| (1.上海电力大学电气工程学院，上海 200090;2.上海市智能电网需求响应技术重点实验室，上海 200063) |
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| 摘要: |
| 随着高比例新能源接入电网，新能源出力和负荷的波动性及不确定性对系统的灵活爬坡能力提出更高的要求。提出了一种面向灵活爬坡服务的针对高比例新能源电力系统中常规发电机组、储能、柔性负荷等可调节资源的优化调度模型。首先，提出一种考虑日前预测净负荷不确定性的灵活爬坡需求估计方法，根据爬坡起始和结束时刻净负荷及其安全裕度，量化估计电力系统灵活爬坡需求。其次，基于生成的净负荷不确定性场景，提出了考虑系统灵活爬坡需求的基于两阶段混合整数线性规划的可调节资源优化调度模型，从日前-实时两个阶段实现可调节资源的优化调度。最后，基于IEEE-RTS-24节点系统，在4种典型方案场景下对比验证所提优化调度模型。结果表明所提模型能有效提升系统灵活性，降低系统运行成本。 |
| 关键词: 新能源 可调节资源 灵活爬坡服务 混合整数线性规划 优化调度 |
| DOI：10.19783/j.cnki.pspc.230183 |
| 投稿时间：2023-02-24修订日期：2023-10-22 |
| 基金项目:国家自然科学基金项目资助(51977127)；上海市教育发展基金会和上海市教育委员会“曙光计划”项目资助(20SG52)；上海市青年科技英才扬帆计划项目资助(21YF1414700)；上海市教育委员会和上海市教育发展基金会“晨光计划”项目资助(21CGA64) |
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| Optimal dispatch model of adjustable resources in a power system with high proportion ofrenewable energy for flexible ramping product |
| LIN Shunfu1 ,2,ZHANG Qi1,SHEN Yunwei1 ,2,ZHOU Bo1 ,2,BIAN Xiaoyan1,LI Dongdong1 ,2 |
| (1.College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2.Shanghai Key Laboratory of Smart Grid Demand Response, Shanghai 200063, China) |
| Abstract: |
| With the integration of a high proportion of renewable energy, the fluctuations and uncertainties bring a higher demand on the flexible ramping capacity of the power system. This paper proposes an optimal dispatch of adjustable resources such as conventional generation units, energy storage systems and flexible loads of the power system for a flexible ramping product (FRP). First, an estimation method of the flexible ramping requirements considering the uncertainties of the day-ahead forecasting net load is proposed according to the start- and end-time net load and its safety margin to quantitatively estimate flexible ramping requirements. Second, based on the generated uncertain scenarios of the net load, it proposes an optimal dispatching model of the adjustable resources with a two-stage mixed-integer linear programming approach. The dispatching model is implemented from the day-ahead unit commitment and real-time economic dispatch. Finally, four typical cases are considered to compare and validate the optimal dispatching model based on the IEEE-RTS-24 bus system. The results show that the proposed dispatching model can effectively improve system flexibility and reduce operating costs. |
| Key words: renewable energy adjustable resources flexible ramping product mixed-integer linear programming optimal dispatch |
