耦合可再生能源的分布式联供系统设计及运行策略优化
邱雨微,郑徐跃,詹翔燕,朱兴仪,孟 超,赵英汝*

(厦门大学能源学院,福建 厦门 361102)

数学优化; 可再生能源; 风力发电; 光伏

The optimal design and operation strategy for combined cooling,heating and power system coupled with renewable energies
QIU Yuwei,ZHENG Xuyue,ZHAN Xiangyan,

(College of Energy, Xiamen University, Xiamen 361102, China)

mathematical optimization; renewable energy; wind power; photovoltaic cell

DOI: 10.6043/j.issn.0438-0479.201803026

备注

基于通用数学建模(the general algebraic modeling system, GAMS)软件,针对耦合可再生能源技术的分布式冷热电联供(renewable energy coupled combined cooling, heating and power, RCCHP)系统构建数学模型,并结合上海市某综合区域为案例,选取2项经济性指标和1项环境性指标,对4种情景下RCCHP系统的运行情况进行模拟计算与分析,分析该系统的设备组合、逐时运行策略、经济性与环境性,同时分析了可再生清洁发电技术与能源政策对分布式多联供系统的影响.结果表明,夜间采用电网购电与风力发电互补供应电负荷、白天使用CCHP耦合风力发电联合互补供能是经济性最佳的运行策略,能够抑制可再生能源的波动性并且实现多种电能的完全消纳.与传统分产(separated production,SP)系统相比,RCCHP系统能够极大地降低系统对电网的依赖度,减少耗气量,同时极大地提高系统的环境性,但其较高的初始投资费用限制了其经济性与实用性.

To evaluate the economic and environmental performance of the combined cooling, heating and power(CCHP)system coupled with wind power and photovoltaic cell, a mixed integer nonlinear model is formulated in GAMS to determine the optimal technology combination, capacity and operation strategy taking the separated production(SP)system as reference. In this paper, net present value(NPV)and internal rate of return(IRR)are introduced as economic indicators, and CO2 emission reduction rate(CER)as the environmental indicator, to perform multi-objective analysis. The model is applied to a comprehensive area in Shanghai by four different scenarios to figure out the contribution made by renewable energy to the CCHP system. The results illustrate that a combination of electricity purchased from the grid, generated by wind turbines for electric load balance at night and CCHP system coupled with renewable energy operating in daytime, is capable of eliminating the fluctuation of renewable energy and meeting power consumption. Compared with SP system, CCHP system coupled with renewable energies(RCCHP)system is a potentially interesting option to reduce grid dependence and gas fuel consumption and improve environment benefit. However, high initial investment costs of RCCHP system limit its economic performance and practicality.