摘要
“双碳”目标的提出和新型电力系统的建设使得风电等新能源的并网消纳更为迫切。我国“三北”地区火电机组以热电联产(combined heat and power,CHP)机组为主,供暖季“以热定电”的运行方式使得CHP机组最小强迫出力无法降低,严重挤占风电上网空间,热电解耦是解决这一问题的有效方法。该文提出兼顾风电波动性和负荷侧需求响应(demand response,DR)的多CHP机组热电解耦协调规划模型。此模型首先对负荷侧进行电价型DR建模,然后利用盒式约束对风电出力进行建模并以改进轻鲁棒(improved light robust,ILR)模型优化处理,最后以多CHP机组热电解耦改造容量之和最大及解耦后系统运行成本最低为目标建立规划模型。以改进IEEE24节点系统为例进行仿真分析,算例结果表明所提模型能够协调多CHP机组改造容量与改造成本之间的矛盾,使CHP机组强迫出力降低,从而有效提升系统风电消纳能力。
The proposal of the carbon peaking and carbon neutrality goals and the construction of a new power system make the grid-connected consumption of wind power and other new energy more urgent.The thermal power units in the“three northern areas of China”are mainly combined heat and power(CHP)units.The operation mode of“fixing electricity by heat”in the heating season makes the minimum forced output of CHP units unable to be reduced,which seriously crowds out the grid of wind power space,thermo-electrolytic coupling is an effective way to solve this problem.A coordinated planning model for multi-CHP thermo-electrolytic coupling is proposed that takes into account wind power volatility and load-side demand response(DR).In this model,the load side is firstly modeled for electricity price-based DR,and then the wind power is modeled with box constraints and optimized processing with improved light robust(ILR)model.Finally,a planning model is established with the goal of maximizing the sum of the retrofit capacity of the multi-CHP unit thermo-electrolytic coupling and the lowest operating cost of the system after decoupling.Taking the improved IEEE24 node system as an example for simulation analysis,the results show that the proposed model can coordinate the contradiction between the retrofit capacity and retrofit cost of multiple CHP units,reduce the forced output of CHP units,and effectively improve the wind power consumption capacity of the system.
作者
陈艳波
马彦虎
郑国栋
孙志祥
陈冬晖
高瑜珑
CHEN Yanbo;MA Yanhu;ZHENG Guodong;SUN Zhixiang;CHEN Donghui;GAO Yulong(State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University),Changping District,Beijing 102206,China)
出处
《电网技术》
EI
CSCD
北大核心
2022年第10期3821-3830,共10页
Power System Technology
基金
国家自然科学基金项目(52077076)
国家重点实验室开放课题资助(LAPS202118)。
关键词
热电解耦
风电消纳
需求响应
改进轻鲁棒优化
thermo-electrolytic coupling
wind power consumption
demand response
improved light robust planning
