基于相变材料储能的建筑光伏一体化小区电-热联供系统双层优化调度

Bi-level Optimal Dispatching of Electric-thermal Combined Supply System in Building-integrated-photovoltaic Community Based on Phase Change Material Energy Storage

建筑光伏一体化小区中富余能源并网将导致居民用电经济性欠优,以及与外电网交换功率不够平滑的问题。为此,该文提出一种面向含相变储能系统(phase change material thermal energy storage system,PCMTESS)的小区建筑电-热联供系统双层调度策略。简要介绍PCMTESS的物理构造和运行模式,并分析其规模化储能和热电解耦的特性。在此基础上,评估阳光辐射等环境因素对光伏发电和建筑热需求的影响,建立计及热泄漏过程的电热联供系统模型。进而,以微网最小化购电成本和对外功率波动为目标,设计一种实时滚动的双层优化调度策略,用于消解预测误差在多时间尺度上的影响。最后,提出近似线性化处理和电力侧-热力侧问题交互迭代的算法,实现优化模型的高效求解。仿真结果表明,该文所提的PCMTESS在维持室温舒适的前提下,既能保障用户侧运行经济性的需求,又能平滑对外交换功率,使得电网与用户双方共同受益。该文为微网综合能源消纳问题的解决提供一个新视角。

The grid-connected redundant energy from the building-integrated-photovoltaic community will lead to the residential high electricity consumption cost and unsmooth power exchange with external power grid.To address the above problem,a bi-level heat-electricity combined dispatching strategy oriented the phase change material thermal energy storage system(PCMTESS)-integrated building was proposed in this paper.The physical structure and operation mode of PCMTESS were briefly introduced,and the advantages of large-scale energy storage and thermoelectric decoupling were analyzed.On this basis,evaluating the impact of environment factors on the photovoltaic output and thermal demand,an electricity-heat combined supply system model considering thermal leakage process was established.Furthermore,to eliminate the influence of prediction errors on multiple time scales,a two-layer optimization dispatch strategy with real-time rolling was designed to minimize the power purchase cost and external power fluctuation.An algorithm for approximate linearization and interactive iteration of electrical-thermodynamic side problems was proposed,which achieves an efficient solution of the optimization model.The simulation results verify that PCMTESS proposed in this paper can not only guarantee the economic demand of user side operation,but also smooth the external exchange power,which benefits both the power grid and users.The paper provides a new perspective for solving the problem of comprehensive energy consumption in microgrid.