光伏-储能-热电联产综合能源系统分解协调优化运行研究

Decomposition-Coordination Based Optimization for PV-BESS-CHP Integrated Energy Systems

为了实现综合能源系统电热网在各自信息隐私保护情况下达到全局最优,该文研究了光伏-储能-热电联产(CHP)综合能源系统的协调优化运行,探讨了在隐私保护前提下运用分解协调优化方法求解的可行性。该文首先建立电热耦合系统的分解优化运行模型。其次,利用Benders分解方法对模型进行求解,将模型分解为热力系统主问题和电力系统子问题,通过两个系统之间迭代计算,得出各系统设备的最优出力分配;然后,研究了基于Benders分解法的系统间交互模式,在尽可能保证主、子问题各自信息有效保护隔离的前提下,两个系统之间只需要交换隐私化后的参数及Benders约束,最大程度地保护了电/热系统的信息隐私。最后,利用三个典型场景下的算例对比分析验证了该文方法的合理性。

To realize the global optimization of the electricity and heat networks in the integrated energy system in the case of information privacy protection, this paper conducted the optimal coordinated operation of the photovoltaic(PV)-battery energy storage system(BESS)-combined heat and power(CHP) integrated energy system,and studied the feasibility of using decomposition and coordination to optimize the solution under the premise of privacy protection. Firstly, an overall optimal operation model of the coupled electricity-heat energy system was established. Secondly, Benders decomposition method was proposed to solve this model. The model was decomposed into the main problem of the thermal system and the sub-problem of the electrical system, the optimal power distribution of each system was obtained through the iterative calculation between two systems. Besides, the interactive mode of systems based on Benders decomposition method was studied. On the premise of ensuring the effective protection and isolation of the information of master problem and sub-problem as much as possible, two systems only exchange the privacy parameters and Benders cuts, to maximize the protection of the electrical/thermal system privacy. Finally, comparative analysis of three typical scenarios was used to validate this method.