考虑需求响应的CCHP系统中分布式电源的选址定容

以往对于冷/热/电联供(combined cooling heating and power,CCHP)系统的研究主要集中在其运行优化上,较少对系统中分布式电源(distributed generation,DG)的选址定容问题进行研究,更少有文献将基于价格与基于激励的需求响应(demand response,DR)综合考虑在系统中。该文利用CCHP系统的多能源互补特性,综合考虑基于价格与基于激励的需求响应,以分布式电源接入节点与接入容量为变量,提出了计及需求响应的分布式电源选址定容模型。首先,建立了CCHP系统热电耦合运行模型。其次,综合考虑负荷削减量、中断持续时间与中断时间因子等因素,提出了可中断负荷的单位电量补偿定价的方法。通过在目标函数中分析需求响应成本,使规划目标更为全面,从而节约投资。另外,综合基于激励与基于价格的需求响应作用,考虑用户对于电价、燃气价格、可中断负荷单位电量补偿定价的响应,定义了改进的价格弹性系数,并利用此系数对负荷预测进行修正。最后,通过基于邻域再搜索的改进粒子群算法(neighborhood re-dispatch particle swarm optimization,NR-PSO)对规划模型进行求解,并通过对某13节点综合园区系统的仿真分析,验证了所提模型及方法的有效性。

Distributed Power Siting and Sizing Considering Demand Response in CCHP System

The traditional combined cooling heating and power (CCHP) system researches mainly focus on its operation optimization,and lesson the siting and sizing of distributed generation (DG) in the system.The demand response (DR)based on price and incentive is not taken into account in the process.Based on the multi-energy complementary characteristics of CCHP system,this paper puts forward the siting and sizing model of distributed power with considering price and incentive based DR,which takes distributed power access nodes and access capacity as variables.Firstly,we establish the thermo-electric coupling operation model for CCHP system.Secondly,we propose the pricing method of unit power compensation with interruptible load,comprehensively considering load reduction,interruption duration and interrupt time factor.Then,by analyzing the DR cost in the objective function,the planning goal is more comprehensive and the investment is saved.In addition,based on the consideration of incentive and price-based DR,an improved price elasticity coefficient is defined with considering the influence of electric price,gas price and the compensating price of unit power with interruptible load,which is used to correct the load forecast.At last,the planning model is solved by the neighborhood redispatch particle swarm optimization algorithm (NR-PSO).And through the simulation analysis of a 13-node integrated park system,the validity of the proposed model and method is verified.