Shanghai University of Electric Power
需求响应（demand response，DR）在协助园区综合能源系统（park integrated energy system，PIES）消纳分布式电源（distribution generation，DG）上发挥了重要的作用，然而其不确定性却又给PIES经济运行带来了巨大的挑战。鉴于此，提出一种基于信息间隙决策理论（information gap decision theory，IGDT）的PIES经济调度模型。首先，以系统运行成本最小为目标，构建了含DR的冷/热/电联供型PIES经济调度模型。在此基础上，利用IGDT处理DR和DG的不确定性，针对传统IGDT仅适用于单因素偏差系数的问题，赋予DR和DG出力偏差系数不同的权重，兼顾了二者的不确定性对PIES经济运行所带来的影响；针对不同类型的决策者分别建立了风险规避鲁棒模型和风险偏好机会模型，满足不同类型决策的需要。然后，通过GAMS软件求解，量化分析了PIES在不同目标运行成本下，两种不同决策模型所对应的不确定性的等效偏差系数。最后，通过算例验证了所提模型的有效性，为PIES调度计划者制定调度计划提供了定量的决策依据。
Demand response (DR) has played an important role in assisting the park integrated energy system (PIES) to absorb distribution generation (DG), but its uncertainty has brought huge challenges to the economic operation of PIES. In view of this, a PIES economic dispatch model based on information gap decision theory (IGDT) is proposed. First of all, with the objective function of minimizing the operating cost of the PIES, an economic dispatch model of PIES with DR combined cooling/heating/electricity is constructed. On this basis, using IGDT to deal with the uncertainties of DR and DG, in view of the problem that traditional IGDT is only suitable for single-factor deviation coefficients, different weights are given to DR and DG , to taking all the uncertainties into account to analysis the impact of economic operations of PIES; a risk aversion robustness model and a risk seeker opportuneness model were established for different types of decision makers to meet the needs of different types of decision-making. Then, the GAMS software is used to solve the problem and quantitatively analyze the equivalent deviation coefficients of the uncertainties corresponding to the two different decision-making models under different operating cost targets. Finally, the validity of the proposed model is verified by a calculation example, which provides a quantitative decision-making basis for the PIES scheduling planner to make plans.