摘要
现有对柔性负荷的调度主要是通过弹性系数矩阵来处理,但弹性系数矩阵的获取难度大,且无法精确反映柔性负荷对电价的响应情况。为解决这一问题,建立了考虑柔性负荷的机组组合模型。该模型考虑3类柔性负荷,即可平移、可转移和可削减负荷;目标函数包含3个部分,即发电成本、开机成本和柔性负荷用电成本;考虑的约束条件包含机组最小开停机时间约束、机组出力上下限约束、机组爬坡速率约束、直流潮流约束和线路潮流约束。该模型为非线性混合整数规划模型,可通过SOS2变量将模型中的成本函数进行线性化,将其转化为一个线性混合整数规划,再通过MATLAB调用GAMS软件中的CPLEX求解器进行求解。IEEE 118节点系统测试结果表明柔性负荷参与经济调度可减少自身的用电成本,同时进一步降低系统的运行成本,验证了所提模型的有效性。
Current flexible load is mainly dispatched through the elastic coefficient matrix,but the matrix is difficultly acquired and unable to accurately reflect response of flexible load to electricity price.To solve this problem,an unit combined model considering flexible load was established.This model takes three kinds of flexible loads into account including shiftable load,transferable load and diminishable load.The objective function contains three parts of power generation cost,start-up cost and power consumption cost of flexible load,and the constraint conditions include the minimum start-up time constraint,the upper limit and the lower limit of unit output,the ramp rate constraint,DC power flow constraint and line power flow constraint.This model is a nonlinear mixed integer programming model of which the cost function can be linearized by using SOS2 variable and transferred to a linear mixed integer programming.Then by using the CPLEX solver in GAMS software for solution.Testing result of the IEEE 118 node system indicates that it is able to reduce power consumption cost and operating cost of the system as flexible load participating in economy dispatching,which has verified effectiveness of the proposed model.
作者
马伟哲
程韧俐
史军
华栋
孙高星
张聪
MA Weizhe;CHENG Renli;SHI Jun;HUA Dong;SUN Gaoxing;ZHANG Cong(Shenzhen Power Supply Co.,Ltd.,Shenzhen,Guangdong 518000,China;School of Electric Power,South China University of Technology,Guangzhou,Guangdong 510640,China;College of Electrical and Information Engineering,Hunan University,Changsha,Hunan 410082,China)
出处
《广东电力》
2019年第8期73-82,共10页
Guangdong Electric Power
基金
深圳供电局有限公司科技项目(D9180090)
关键词
柔性负荷
机组组合
用电费用
混合整数规划
线路潮流
flexible load
unit combination
power consumption cost
mixed integer programming
line power flow
