As the energy market is being deregulated,the energy price,as a controllable resource,is expected to promote the optimized operation of multi-energy (such as electricity,gas,heat/cool) in the district energy centre (DEC).Based on the energy hub modelling method,the general linear modelling method of power balance equation in DEC is presented.In addition, after taking into account the price elasticity of energy load demand,piecewise linearization modeling of energy load demand is conducted,and the description of piecewise linear function is unified by introducing a 0-1 logic variable and several linear constraints.Further,aiming at DEC net revenue maximization,the mixed integral quadratic programming model for optimal day-ahead dispatch of DEC is developed,in which the controllability of energy price is taken into consideration,and CPLEX called from GAMS is used for solution.Finally,with a case study on microgrid-type DEC,the proposed modeling method is verified,and the influences of control of energy price,different price elasticity and prediction error of new energy on the dispatch results are analyzed.The results show that full use of load price elasticity will help reduce load variance and peak-valley difference,and deep the optimization potential of DEC,while maximize the DEC revenue.%能源市场管制放松的背景下,将能源价格作为一种可控资源,有望进一步推进区域能源中心(DEC)内电、气、冷/热等多种能源的优化运行.文中以能量枢纽为基础模型,提出了DEC功率平衡方程的通用线性化建模方法;同时,计及能源需求的价格弹性,对其进行分段线性化建模,并引入0-1变量及线性约束将分段线性函数的描述统一化.进一步,以DEC净收益最大化为目标,计及能源价格可控性,建立了DEC日前优化调度的混合整数二次规划模型,通过GAMS调用CPLEX进行求解.最后,以微网型DEC为例,验证了所提建模方法的有效性,分析了能源价格是否参与调控、不同价格弹性及新能源预测误差对调度结果的影响.结果表明,充分利用负荷的价格弹性,在最大化DEC净收益之余,有利于减小负荷方差和峰谷差,深度挖掘DEC的优化潜力.
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