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计及网络动态特性的电-气-热综合能源系统日前优化调度

董帅 王成福 徐士杰 张利 查浩 梁军

电力系统自动化2018,Vol.42Issue(13):12-19,8.
电力系统自动化2018,Vol.42Issue(13):12-19,8.DOI:10.7500/AEPS20180115006

计及网络动态特性的电-气-热综合能源系统日前优化调度

Day-ahead Optimal Scheduling of Electricity-Gas-Heat Integrated Energy System Considering Dynamic Characteristics of Networks

董帅 1王成福 1徐士杰 2张利 1查浩 3梁军1

作者信息

  • 1. 电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061
  • 2. 国网山东省电力公司昌邑市供电公司,山东省昌邑市 261300
  • 3. 水电水利规划设计总院,北京市 100120
  • 折叠

摘要

Abstract

The interconnection of the electricity-gas-heat integrated energy system is an effective way to improve the operational flexibility and the ability to accommodate renewable energy.An optimal scheduling model considering dynamic characteristics of heating and gas networks is proposed based on detailedly analyzing the dynamic characteristics of heating and gas networks. First of all,the dynamic characteristics of heating and gas networks are modeled and analyzed,and their energy storage capacities are explored.Then,an optimal scheduling model of the electricity-gas-heat integrated energy system is established and transformed into a linear model to solve the problems.Finally,the impact of the network dynamic characteristics on the system operation is simulated by developed simulation system,and the interaction between different dynamic characteristics and the potential benefits of the collaborative optimization are analyzed,which proves the necessity and feasibility of considering the network dynamic characteristics into the operation of integrated energy system.

关键词

综合能源系统/动态特性/储能/传输延时/日前调度/风电接纳

Key words

integrated energy system/dynamic characteristics/energy storage/transmission delay/day-ahead scheduling/wind power accommodation

引用本文复制引用

董帅,王成福,徐士杰,张利,查浩,梁军..计及网络动态特性的电-气-热综合能源系统日前优化调度[J].电力系统自动化,2018,42(13):12-19,8.

基金项目

国家自然科学基金资助项目(51607107) (51607107)

山东省中青年科学家科研奖励基金资助项目(BS2015NJ005) (BS2015NJ005)

国家电网公司科技项目(SGSDDK00KJJS1600061). 本文受到国家自然科学基金(51477091)、山东大学基本科研业务费专项资金项目(2015GN001,2016TB001)资助,在此表示衷心感谢! This work is supported by National Natural Science Foundation of China (No.51607107),the Research Award Foundation for Outstanding Middle-aged and Young Scientist of Shandong Province,China (No.BS2015NJ005),and State Grid Corporation of China(No.SGSDDK00KJJS1600061). (SGSDDK00KJJS1600061)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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