面向灵活性的电能量与辅助服务日前市场联合出清模型

doi:10.11930/j.issn.1004-9649.202006277

中国电力 ›› 2020, Vol. 53 ›› Issue (8): 182-192.DOI: 10.11930/j.issn.1004-9649.202006277

• 技术经济 • 上一篇

面向灵活性的电能量与辅助服务日前市场联合出清模型

杨萌¹, 张粒子¹, 吕建虎², 薛必克², 袁浩²

1. 华北电力大学电气与电子工程学院，北京 102206;
2. 中国电力科学研究院有限公司南京分院，江苏南京 210003

收稿日期:2020-06-25 修回日期:2020-07-13 发布日期:2020-08-05
作者简介:杨萌(1982-),男,博士研究生,从事电力系统调度优化与辅助服务市场研究,E-mail:emri_yangmeng@sina.com;张粒子(1963-),女,博士,教授,从事电力市场及电力经济研究,E-mail:lizizhang2000@sina.com;吕建虎(1987-),男,高级工程师,从事电力系统自动化、电力市场研究,E-mail:lvjianhu@epri.sgcc.com.cn;薛必克(1976-),男,高级工程师,从事电力系统自动化、电力市场研究,E-mail:xuebike@epri.sgcc.com.cn;袁浩(1973-),男,高级工程师,从事电力系统自动化、电力市场研究,E-mail:yuanhao@epri.sgcc.com.cn
基金资助:
国家电网有限公司科技项目(配额制背景下促进高比例可再生能源消纳的交易机制及关键技术研究与应用，SGLNDK00KJJS1900043)

Flexibility-Oriented Day-ahead Market Clearing Model for Electrical Energy and Ancillary Services

YANG Meng¹, ZHANG Lizi¹, LV Jianhu², XUE Bike², YUAN Hao²

1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;
2. Nanjing Branch of China Electric Power Research Institute, Nanjing 210003, China

Received:2020-06-25 Revised:2020-07-13 Published:2020-08-05
Supported by:
This work is supported by the Science and Technology Project of SGCC (Research and Application of Trading Mechanism and Key Technologies to Promote High Proportion of Renewable Energy Consumption under Renewable Portfolio Standard, No.SGLNDK00KJJS1900043)

摘要/Abstract

摘要： 电能量和辅助服务日前市场作为支撑电力系统短期运行灵活性的主要交易平台，其出清模型关系到对灵活性资源的有效激励和利用效率。结合电力系统对灵活性电力资源的需求，分析了传统机组组合模型对灵活性资源利用效率的影响，提出了一种面向系统灵活性的日前市场联合出清模型。模型将爬坡变量纳入决策变量，考虑了机组启停过程出力、优化时间间隔、辅助服务调节方向等因素对系统灵活性的影响，实现了不同交易品种的联合出清。对含可再生能源、核电和储能系统的电力系统进行了案例分析，结果显示该方法可以体现不同灵活性资源的性能差异，更好地适应高比例可再生能源系统的需要。

关键词: 辅助服务市场, 联合出清, 机组组合, 灵活性, 电力市场

Abstract: In the power system with high penetration rate of renewable energy, the day-ahead market of electric energy and ancillary services acts as the primary trading platform to support the short-term operation flexibility of the power system. Therefore, its market clearing model is of vital importance for the effective incentive and utilization efficiency of flexible resources. In this paper, combined with the system demand for flexible power resources, the influence of traditional unit commitment model on the utilization efficiency of flexible resources is analyzed, and a flexible day-ahead market co-optimization model is then proposed. The model incorporated the ramping variables into the decision variables, and took into account the effects of the unit start-stop process output, optimal time interval, ancillary service adjustment direction and other factors on the system flexibility, so as to achieve the joint clearing of different trading varieties. Case studies on the system including renewable energy, nuclear power and energy storage indicates that the application of this method exhibits the performance differences of various flexible resources and hence better meet the needs of high-proportion renewable energy systems.

Key words: ancillary service market, co-optimization, unit commitment, flexibility, power market

杨萌, 张粒子, 吕建虎, 薛必克, 袁浩. 面向灵活性的电能量与辅助服务日前市场联合出清模型[J]. 中国电力, 2020, 53(8): 182-192.

YANG Meng, ZHANG Lizi, LV Jianhu, XUE Bike, YUAN Hao. Flexibility-Oriented Day-ahead Market Clearing Model for Electrical Energy and Ancillary Services[J]. Electric Power, 2020, 53(8): 182-192.

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面向灵活性的电能量与辅助服务日前市场联合出清模型

Flexibility-Oriented Day-ahead Market Clearing Model for Electrical Energy and Ancillary Services

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面向灵活性的电能量与辅助服务日前市场联合出清模型

Flexibility-Oriented Day-ahead Market Clearing Model for Electrical Energy and Ancillary Services

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