计及消纳惩罚的日前市场优化出清方法

doi:10.12204/j.issn.1000-7229.2023.04.004

电力建设 ›› 2023, Vol. 44 ›› Issue (4): 29-36.doi: 10.12204/j.issn.1000-7229.2023.04.004

• 电力现货市场支撑新型电力系统建设的理论及实践·栏目主持范高锋教高、陈启鑫副教授、何冠楠特别研究员· • 上一篇下一篇

计及消纳惩罚的日前市场优化出清方法

李德鑫¹(), 郑涛岳²(), 姜齐荣²(), 何斓珂²(), 董洪达¹(), 李成钢¹(), 刘座铭¹()

1.国网吉林省电力有限公司电力科学研究院,长春市 130021
2.新型电力系统运行与控制全国重点实验室(清华大学),北京市 100084

收稿日期:2022-08-08 出版日期:2023-04-01 发布日期:2023-03-30
作者简介:李德鑫(1985),男,硕士,高级工程师,主要研究方向为新能源并网与消纳,E-mail:lidexin0323@163.com;
郑涛岳(1999),男,硕士研究生,主要研究方向为电力市场,E-mail:zhengty.22@pbcsf.tsinghua.edu.cn;
姜齐荣(1968),男,博士,教授,主要研究方向为柔性输配电技术、电能质量分析与控制、新能源发电/分布式发电技术,E-mail:qrjiang19@tsinghua.edu.cn;
何斓珂(1999),女,硕士研究生,主要研究方向为电力市场,E-mail:lucky_ke99@163.com;
董洪达(1987),男,硕士,高级工程师,主要研究方向为电力系统自动化,E-mail:971416192@qq.com;
李成钢(1986),男,硕士,高级工程师,主要研究方向为电力系统保护与控制,E-mail:lcgdky@126.com;
刘座铭(1982),男,硕士,教授级高级工程师,主要研究方向为电力系统及其自动化,E-mail:lzmhero_@126.com。
基金资助:
国家电网有限公司科技项目(SGJLDK00KJJS2100099)

Day-ahead Optimized Market Clearing Method Considering Renewable Energy Absorption

LI Dexin¹(), ZHENG Taoyue²(), JIANG Qirong²(), HE Lanke²(), DONG Hongda¹(), LI Chenggang¹(), LIU Zuoming¹()

1. State Grid Jilin Electric Power Research Institute, Changchun 130021, China
2. State Key Laboratory of Power System Operation and Control (Tsinghua University), Beijing 100084, China

Received:2022-08-08 Online:2023-04-01 Published:2023-03-30
Supported by:
State Grid Corporation of China Research Program(SGJLDK00KJJS2100099)

摘要/Abstract

摘要：

随着电力市场建设不断完善,电力市场交易电量占比不断攀升,电网逐渐由常规机组主导的计划方式向高比例新能源的市场方式转变,使得新型电力系统运行及规划面临严峻考验。为此,在电力市场情景下针对新能源高渗透率的消纳问题进行探讨,提出一种促进风光高效消纳的解决方案。首先提出了对于风光等新能源出力的模拟方式,并利用场景削减技术获得典型出力;进而从日前市场的角度出发,提出了计及系统网络约束的实时平衡市场出清模型并将全系统弃风、失负荷惩罚费用加入模型;最后,针对不同弃风、失负荷情景进行量化对比分析,提出了一种高比例可再生能源接入电力系统后的可行消纳模式。该模式有望从电力市场设计角度助力“双碳”目标的实现。

关键词: 新能源, 高渗透率, 运筹优化, 市场出清, 机组组合

Abstract:

With the construction of the power market, the proportion of electricity transaction through the market is growing significantly. Meanwhile, the grid is gradually changing from the planning mode dominated by conventional units to the market mode with high proportion of renewable energy. Hence, the power system operation is facing serious challenges due to the marketization of the main behavior of power generation as well as the tendency of the system to be extremely complicated. Under the background of high penetration rate of new energy in power system, this paper discusses the absorption problem of renewable energy in the electric power market, and tries to put forward a solution to promote the efficient absorption of wind and solar power. Firstly, on the basis of the simulation of high-penetration-rate new energy power system, the simulation of new energy and acquire the typical output relying on the scene reduction algorithm are carried out. Later, a day-ahead clearing model considering real-time market and the network constraints is proposed, at the same time, the penalty of wind abandoning and load loss are included. Finally, quantitative comparative analysis are made for different scenarios of wind abandoning and load loss, which reveals a feasible consumption model after high proportion of renewable energy is connected to the power system. Such framework will help realize the double carbon target from the perspective of electricity market.

Key words: renewable energy, high permeability, operation research, market clearing, unit commitment

中图分类号:

TM73

李德鑫, 郑涛岳, 姜齐荣, 何斓珂, 董洪达, 李成钢, 刘座铭. 计及消纳惩罚的日前市场优化出清方法[J]. 电力建设, 2023, 44(4): 29-36.

LI Dexin, ZHENG Taoyue, JIANG Qirong, HE Lanke, DONG Hongda, LI Chenggang, LIU Zuoming. Day-ahead Optimized Market Clearing Method Considering Renewable Energy Absorption[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(4): 29-36.

图/表 6

图1 拉丁超立方采样流程

Fig.1 Process of Latin hypercube sampling

图2 场景削减基本流程

Fig.2 Process of scene reduction

图3 风电典型出力曲线

Fig.3 Typical curve of wind power

图4 日前及平衡市场出力曲线

Fig.4 Power curve in day-ahead market and real-time market

表1 不同弃风惩罚下的参数对比

Table 1 Parameter comparison in different wind penalty

表2 不同失负荷惩罚下的参数对比

Table 2 Parameter comparison in different load loss

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计及消纳惩罚的日前市场优化出清方法

Day-ahead Optimized Market Clearing Method Considering Renewable Energy Absorption

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