引用本文: | 韩小齐,刘文颖,庞清仑,等.考虑日前现货市场风险的电力负荷参与系统调峰控制模型[J].电力系统保护与控制,2022,50(17):55-67.[点击复制] |
HAN Xiaoqi,LIU Wenying,PAN Qinglun,et al.Peak shaving control model of power load participation system considering day-ahead spot market risk[J].Power System Protection and Control,2022,50(17):55-67[点击复制] |
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摘要: |
我国发布的“双碳”政策进一步促进了以风光电为主的新能源发展,高比例新能源并网的同时带来了系统调峰问题。为增加系统的调峰能力,将电力可调节负荷逐步纳入系统调峰,使电力负荷参与现货市场交易可达到间接调峰效果,但负荷参与现货市场交易存在一定的收益风险。为此,提出一种考虑日前现货市场风险的电力负荷参与系统调峰控制模型。首先,分析电力负荷参与系统调峰的作用机理。其次,在国内日前现货市场交易机制的基础上,基于VaR(Value of Risk)法与极值理论,对电力可调节负荷参与日前现货市场交易风险进行量化分析。基于此,同时考虑风光电出力与基础负荷的不确定性风险,建立考虑日前现货市场风险的负荷参与系统调峰双层控制模型,并通过KKT条件转化为单层混合整数线性规划。最后,通过实例仿真,验证所提模型的有效性。结果表明,所提模型在保证日前调峰效果的同时可提高负荷收益,为现货市场交易环境下的系统日前调峰提供可行的新思路。 |
关键词: 调峰 可调节负荷 日前现货市场 交易风险 VaR 极值理论 |
DOI:DOI: 10.19783/j.cnki.pspc.211507 |
投稿时间:2021-11-06修订日期:2022-01-13 |
基金项目:国家重点研发计划项目资助(2018YFE0208400);国家电网有限公司总部科技项目资助“面向跨境互联的多能互补新型能源系统关键技术研究” |
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Peak shaving control model of power load participation system considering day-ahead spot market risk |
HAN Xiaoqi,LIU Wenying,PAN Qinglun,SHEN Ziyu,LI Yalou |
(1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;
2. China Electric Power Research Institute, Beijing 100192, China) |
Abstract: |
The “dual-carbon” policy issued in China has further promoted the development of new energy sources based on wind and photovoltaics. The integration of a high proportion of new energy sources into the grid has also brought about system peak shaving problems. To increase the system's peak-shaving capability, the power adjustable load can be incorporated into the system's peak-shaving gradually, so that power loads can participate in spot market transactions to achieve indirect peak shaving effects. However, there is a certain income risk when participating in the spot market transaction. Therefore, this paper proposes a load-participating system peak shaving control model considering the risk of day-ahead spot market. First, it analyzes the mechanism of the power load participating in the system peak shaving. Secondly, given the current conditions of the domestic electricity spot market transaction mechanism, and based on the VaR method and extreme value theory, the risk of power adjustable loads participating in the day-ahead spot market transaction is analyzed quantitatively. Then, considering the uncertainty risk of wind power, photoelectric and basic load, it establishes a two-level control model of load participating system peak shaving. It considers the risk of day ahead spot market, and then converts it into a single-level mixed integer linear programming problem through KKT condition. Finally, an example simulation is used to verify the effectiveness of the model proposed. It shows that the proposed model can improve the load income while ensuring the peak shaving effect, and provides a feasible new idea for system peak shaving with the background of day-ahead spot market transactions.
This work is supported by the National Key Research and Development Program of China (No. 2018YFE0208400). |
Key words: peak shaving adjustable load day-ahead spot market transaction risk VaR extreme value theory |