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考虑可再生能源消纳的CCHP微能源网优化配置模型
作者姓名:陈灵敏  吴杰康  唐惠玲  熊焰  黎昌杰
作者单位:广东工业大学自动化学院;南方电网调峰调频发电有限公司
基金项目:广东省自然科学基金资助项目(S2013010012431,2014A030313509)
摘    要:微能源网中电、气、热等多种能源相互耦合,其容量与运行协调优化是促进可再生能源消纳和提高能源利用率的关键。针对含冷热电联供系统(CCHP)的微能源网优化配置问题,首先分析了含电、气输入和电、热输出耦合的微能源网系统构架和能量流,提出考虑促进可再生能源消纳和提高能源利用率的运行策略,建立基于能量流的供热可靠性指标,然后建立考虑投资费用、一次能源消耗、CO2排放、供能可靠性的综合评价指标的含CCHP的微能源网系统容量和运行策略的优化配置模型。算例仿真结果表明,所建立的模型在保证系统供能可靠性下能够促进可再生能源的消纳并提高系统的经济性。

关 键 词:微能源网  可再生能源消纳  优化配置  可靠性  冷热电联供
收稿时间:2019/3/21 0:00:00
修稿时间:2019/4/27 0:00:00

Optimal allocation model of the micro-energy grid with CCHPconsidering renewable energy consumption
Authors:CHEN Lingmin  WU Jiekang  TANG Huiling  XIONG Yan  LI Changjie
Affiliation:School of Automation, Guangdong University of Technology, Guangzhou 510006, China; CSG Power Generation Company, Guangzhou 510630, China
Abstract:Electricity, gas, heat and other energy sources are coupled in the micro-energy network, and the coordination optimization of capacity and operation of micro-energy grid is the key to to promote the absorption of renewable energy and improve energy efficiency. Aiming at the problem of optimal allocation of micro-energy network with CCHP, the system architecture and energy flow of micro-energy network with electricity, electricity input and electricity and heat output coupling are firstly analyzed, operational strategies to promote renewable energy consumption and improve energy utilization are proposed, and heat supply reliability index based on energy flow is established, then, the micro-energy grid system capacity and the operation strategy system optimal allocation model is established, considering the comprehensive evaluation index of investment cost, primary energy consumption, carbon dioxide emission and energy supply reliability. The simulation results show that the model can promote the consumption of renewable energy and improve the economy of the system while ensuring the reliability of energy supply.
Keywords:micro-energy grid  renewable energy consumption  optimization allocation  reliability  combined cooling heating and power
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