• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2016, Vol. 37 ›› Issue (4): 22-28.doi: 10.3969/j.issn.1000-7229.2016.04.004

• 新能源大规模集中并网规划 ·栏目主持 康重庆教授· • 上一篇    下一篇

气电热联供网络规划与运行联合优化

孙凯华,韩冬,严正,马骏宇   

  1. 电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240
  • 出版日期:2016-04-01
  • 作者简介:孙凯华(1991),男,通信作者,博士研究生,主要研究方向为电力系统规划及优化运行; 韩冬(1984),男,博士研究生,主要研究方向为电力系统分析评估及电力市场; 严正(1964),男,教授,博士生导师,主要研究方向为电力系统优化运行、电力系统稳定分析及电力市场; 马骏宇(1995),男,本科生,主要研究方向为电力系统优化运行。
  • 基金资助:

    :国家自然科学基金项目(51377103)

Planning-Operation Co-Optimization of Gas-Heat-Electricity Co-Generation Network

SUN Kaihua, HAN Dong,YAN Zheng, MA Junyu   

  1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Online:2016-04-01
  • Supported by:

    Project supported by National Natural Science Foundation of China(51377103 )

摘要:

多能源耦合系统是将电力、天然气、热能等通过能源集线器作为能量变换枢纽建立起来的混合能源网络,也是未来能源互联构架的一种发展趋势。该文对多能源耦合系统的结构和运行机制进行了阐述,提出了以能源集线器为调度枢纽的气电热联供网络规划与运行联合优化模型。该模型以规划建设、调度运行、可靠性等方面的总成本最小化为目标函数,同时兼顾了系统满足各能源系统网络约束、能源集线器(energy hub,EH)能量平衡等约束条件,是一个目标函数和约束条件都含有非线性项的混合整数优化问题,采用线性化和大规模优化方法求解,使耦合系统规划和运行共同达到最优。算例仿真将耦合与非耦合规划、耦合系统考虑元件种类不同的情况进行求解和对比,验证了该模型和处理方法的优越性和有效性。

关键词: 多能源耦合系统, 能源集线器(EH), 规划与运行联合优化, 经济调度

Abstract:

The multi-carrier system is hybrid energy network which takes electric, natural gas, heat and others as power conversion hubs through energy hub (EH), and is a development trend of the future energy interconnection structure. This paper discusses the structure and operation mechanism of multi-carrier system, and proposes the planning-operation co-optimization model of gas-heat-electricity co-generation network with taking EH as dispatching hub. This model takes the minimum total cost of planning and construction, scheduling and operation, reliability and other aspects as the objective function. The model considers the constraint conditions that the system can meet the network constraints of each energy system, the energy balance of EH, etc., it is a mixed integer optimization problem in which the objective function and the constraint condition both contain nonlinear terms. Therefore, we adopt linearization and large-scale optimization method to solve the model, in order to make the planning and operation of multi-carrier system to achieve the optimal. Finally, we compare and analyze different situations in example simulation, such as coupling and non-coupling planning, and coupling system considering different types of components, whose results verify the superiority and effectiveness of the proposed model and processing method.

Key words: multi-carrier system, energy hub(EH), planning-operation co-optimization, economic dispatch

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