基于Hessian内点法的微型能源网日前冷热电联供经济优化调度

Day-Ahead Optimized Economic Dispatching for Combined Cooling, Heating and Power in Micro Energy-Grid Based on Hessian Interior Point Method

微型能源网包含冷、热、电和气4种能源形式,具有负荷种类多样、供能设备丰富的特点。在对微型能源网内多种供能及蓄能设备进行建模的基础上,提出基于集中互连能源交换网络的冷热电联供微型能源网的供能架构,架构内冷热电负荷被细分为纯电负荷、热水负荷、空间热负荷、冷冻制冷负荷和空间冷负荷,围绕该架构建立冷热电联供微型能源网经济优化调度模型,采用基于Hessian矩阵迭代的内点法对模型进行了求解。算例表明,通过调度微型能源网内各供能设备的运行方式和出力,可以显著降低系统的日运行费用,实现冷热电联供微型能源网的经济优化运行,得出的合理调度方案证实了所提模型和求解方法的正确性及有效性。

Micro energy-grid contains four formsof energy： cold, heat,electricity and gas, possessing features of diversified load forms and energy supply devices. After modeling of a variety of energy supply and storagedevices, this paper proposed an energy supply infrastructure for combined cooling heating and power（CCHP）-based micro energy-grid based on centralized and interconnected energy exchange network. Loads are subdivided into pure electricity, hot water, space heating, refrigeration and space cooling.Optimized economic dispatching model of CCHP-based micro energy-grid is established according to the infrastructure. The model is solved with interior point method with Hessian matrix iteration. Study case shows that the dispatching method can achieveoptimized economic operation of micro energy-grid by reducing operation cost remarkably through controllingoperation mode and output ofenergy supply and storage equipment.Rational dispatching method confirms correctness and validity of the proposed model and solving method.