中国电力 ›› 2020, Vol. 53 ›› Issue (12): 119-126.DOI: 10.11930/j.issn.1004-9649.202002127

• 新能源电力系统源网荷储协调运行技术专栏 • 上一篇    下一篇

考虑综合需求响应不确定性的电-气综合能源系统优化运行

罗金满1, 赵善龙1, 封祐钧1, 刘卓贤1, 董文杰2, 杨艳红3   

  1. 1. 广东电网有限责任公司 东莞供电局,广东 东莞 523000;
    2. 东方电子股份有限公司,山东 烟台 264000;
    3. 中国科学院 电工研究所,北京 100190
  • 收稿日期:2020-02-24 修回日期:2020-04-09 发布日期:2020-12-16
  • 作者简介:罗金满(1985—),男,高级工程师,从事电力系统信息管理及综合能源系统研究,E-mail:394176801@qq.com
  • 基金资助:
    南方电网重点信息化项目(031900HK42180010)

Optimal Operation of Integrated Electricity-Gas System Considering Uncertainty of Integrated Demand Response

LUO Jinman1, ZHAO Shanlong1, FENG Youjun1, LIU Zhuoxian1, DONG Wenjie2, YANG Yanhong3   

  1. 1. Dongguan Power Supply Bureau of Guangdong Power Grid Corporation, Dongguan 523000, China;
    2. Dongfang Electronics Co., Ltd., Yantai 264000, China;
    3. Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2020-02-24 Revised:2020-04-09 Published:2020-12-16
  • Supported by:
    This work is supported by Key IT Project of China Southern Power Grid (No.031900HK42180010)

摘要: 为有效分析综合需求响应(integrated demand response,IDR)不确定性给系统安全稳定运行带来的影响,以电-气综合能源系统(integrated electricity-gas system,IEGS)为例,提出一种考虑IDR不确定性的IEGS优化运行模型。首先,根据基于能源价格的IDR项目实施特点,分析出IDR中的模糊性和概率性变量,建立相应的IDR不确定性模型;然后,以点估计法计算系统概率能量流,并将其计算结果作为机会约束,使在最小化IEGS运行成本的同时,保证系统运行的安全性。最后,以改进的IEEE-33节点电力系统和比利时20节点天然气系统构成的IEGS为例,验证所提模型和方法的有效性,并评估不确定性环境下系统的风电消纳能力。

关键词: 电-气综合能源系统, 综合需求响应, 优化运行, 概率能量流

Abstract: In order to effectively analyze the influence of integrated demand response (IDR) uncertainty on the security of system operation, an optimal operation model for integrated electricity-gas system (IEGS) considering the IDR uncertainty is proposed by taking the IEGS as an example. Firstly, according to the implementation characteristics of energy price-based IDR project, different types of IDR uncertainty models are established using the fuzzy method and probability method comprehensively. On this basis, the point estimation method is used to calculate the probabilistic energy flow of the system, and the calculation results are taken as chance constraints to minimize the operation costs of IEGS and ensure the security of the system. Finally, by taking the IEGS consisting of improved IEEE-33 power system and 20-node natural gas system for case study, the effectiveness of the proposed model and method are verified, and the wind power accommodation capacity of the system is evaluated under uncertainty context.

Key words: integrated electricity-gas system, integrated demand response, optimal operation, probabilistic energy flow