考虑随机性的区域综合能源系统多目标日前优化调度方法

doi:10.3969/j.issn.1000-7229.2018.12.005

电力建设 ›› 2018, Vol. 39 ›› Issue (12): 39-46.doi: 10.3969/j.issn.1000-7229.2018.12.005

• 电气热综合能源系统的建模、分析与优化 • 上一篇下一篇

考虑随机性的区域综合能源系统多目标日前优化调度方法

李琳1，徐晶2，林威1，穆云飞1，靳小龙1，贾宏杰1，余晓丹1，杜丽佳1，原凯3

1.智能电网教育部重点实验室（天津大学），天津市 300072;2.国网天津市电力公司经济技术研究院，天津市 300171;3.国网经济技术研究院有限公司，北京市 102209

出版日期:2018-12-01
作者简介:李琳（1995），女，硕士研究生，主要研究方向为配电网运行规划; 徐晶（1982），男，硕士，高级工程师，主要研究方向为配电网规划、新能源发电网源协调、能源互联网; 林威（1994），男，硕士研究生，主要研究方向为综合能源系统能量管理; 穆云飞（1984），男，博士，副教授，本文通讯作者，主要研究方向为电力系统安全性与稳定性、综合能源集成与应用及电动汽车并网规划与运行控制; 靳小龙（1990），男，博士研究生，主要研究方向为集成智能楼宇的综合能源系统能量管理及运行规划; 贾宏杰（1973），男，博士，教授，主要研究方向为综合能源系统及智能电网领域的建模、优化、分析及控制; 余晓丹（1973），女，博士，副教授，主要研究方向为电力系统安全性与稳定性及综合能源集成与应用; 杜丽佳（1995），女，硕士研究生，主要研究方向为楼宇能源系统优化管理; 原凯（1989），男，博士，工程师，主要研究方向为配电网动态仿真与分布式发电技术、电动汽车接入、综合能源系统。
基金资助:
国家杰出青年科学基金项目（51625702）；国家自然科学基金委员会-国家电网公司智能电网联合基金（U1766210）；国家电网公司总部科技项目（SGTJJY00GHJS1800123）

Multi-objective Day-ahead Optimal Scheduling Method for Integrated Community Energy System Considering the Stochastic Behaviors

LI Lin1，XU Jing2，LIN Wei1, MU Yunfei1，JIN Xiaolong1，JIA Hongjie1，YU Xiaodan1，DU Lijia1，YUAN Kai3

1. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;2. State Grid Tianjin Electric Power Company Economic and Technological Research Institute, Tianjin 300171, China;3. State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China

Online:2018-12-01
Supported by:
This work is supported by the National Natural Science Foundation of China （No. 51625702）, National Natural Science Fund of China-State Grid Joint Fund for Smart Grid （No. U1766210） and State Grid Corporation of China Research Program （No. SGTJJY00GHJS1800123）.

摘要/Abstract

摘要： 为了满足终端用户对电力、天然气以及热能等多类型用能需求，实现对区域范围内的配电系统、配气系统以及能量中心（energy center, EC）系统的多维度优化调度和能量管理，同时考虑新能源发电设备以及负荷等不确定性因素带来的影响，该文提出了一种考虑随机性的区域综合能源系统（integrated community energy system, ICES）多目标日前优化调度方法。首先，构建了ICES中配电系统、配气系统以及EC系统的数学模型；随后，基于机会约束法构建了多目标随机优化数学模型，以最小化运行成本和温室气体及污染气体排放量为目标函数，采用NSGA-II优化算法对多目标随机优化问题进行求解；最后，针对一个典型的ICES进行考虑随机性的多目标日前优化调度分析。结果表明所提方法能够为系统调度员提供一系列可选方案，优化结果合理反映了随机性条件下ICES的运行特性，能够满足多种能源系统的潮流约束，实现了ICES在随机性条件下的经济环保运行。

关键词: 区域综合能源系统（ICES）, 能量中心（EC）, 多目标随机优化, 随机性

Abstract: In order to satisfy the energy demands for electricity, natural gas and heat, and realize multi-objective scheduling and management of electric distribution system, natural gas distribution system and energy center （EC） system, a multi-objective day-ahead optimal scheduling method for integrated community energy system （ICES） considering the stochastic behaviors is proposed in this paper. Firstly, the mathematical models of electric distribution system, natural gas distribution system and EC system are developed. Secondly, the multi-objective stochastic optimization model is developed based on the chance constrained programming. The operation cost and total emission are considered as the objective functions and the model is solved by the non-dominatied sorting genetic algorithm II （NSGA-II）. Finally, by applying the proposed method to a typical ICES, a series of alternative solutions are provided to the operator, which can not only consider the effects of stochastic behaviors, but also satisfy the constraints of multi-energy power flow and realize the economic and environmental-friendly operation of ICES.

Key words: integrated community energy system （ICES）, energy center （EC）, multi-objective stochastic optimization, stochastic behaviors

中图分类号:

TM 72
TK01

李琳，徐晶，林威，穆云飞，靳小龙，贾宏杰，余晓丹，杜丽佳，原凯. 考虑随机性的区域综合能源系统多目标日前优化调度方法[J]. 电力建设, 2018, 39(12): 39-46.

LI Lin，XU Jing，LIN Wei, MU Yunfei，JIN Xiaolong，JIA Hongjie，YU Xiaodan，DU Lijia，YUAN Kai. Multi-objective Day-ahead Optimal Scheduling Method for Integrated Community Energy System Considering the Stochastic Behaviors[J]. Electric Power Construction, 2018, 39(12): 39-46.

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考虑随机性的区域综合能源系统多目标日前优化调度方法

Multi-objective Day-ahead Optimal Scheduling Method for Integrated Community Energy System Considering the Stochastic Behaviors

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