计及经济性和可靠性因素的区域综合能源系统双层协同优化配置

Bi-Level Collaborative Configuration Optimization of Integrated Community Energy System Considering Economy and Reliability

现有的区域综合能源系统优化配置方法在可靠性约束条件下求得经济性最优,容易产生过度投资或可靠性不足等问题,限制了配置方案的可选择性和实用性。为了解决上述问题,该文基于区域综合能源系统状态转移时序性模型,以经济性和可靠性作为优化目标,建立了区域综合能源系统规划与运行相结合的双层多目标优化配置模型。上层规划模型以系统年净成本和综合缺能率最小为目标,采用NSGA-Ⅱ算法求取配置方案的Pareto最优解集;下层优化运行模型将上层模型确定的配置方案转换为线性约束条件,以系统切负荷量最低和运行经济性最优为目标实现系统的优化运行,采用序贯蒙特卡洛法对运行可靠性进行量化,并将运行成本和可靠性量化值反馈至上层模型。通过某区域综合能源微网系统进行算例验证,分析了不同配置方案经济性和可靠性之间的关系,并通过给出最优解集的方式实现了多目标优化方案的可选择性。

In order to consider the economy and reliability of integrated community energy system(ICES) in planning, in traditional planning approaches, the goal of minimizing the ICES total cost under constraints of load supply reliability was achieved. But the relationship between economy and reliability of ICES was ignored in traditional approaches, which had defects that the selectivity and practicability of configuration schemes were limited, and led to problems such as excessive investment or insufficient reliability. In this paper, a bi-level multi-objective ICES optimal configuration model considering economical and reliable optimization objectives was proposed. Planning and optimal operation of ICES were combined in the model, and time sequence characteristic of equipment states transition was considered. The model was divided into two levels: in the upper level, the minimum comprehensive cost and expected energy not serve(EENS) were obtained, and the NSGA-Ⅱ algorithm was applied to obtain the Pareto optimal solutions of the configuration scheme;in the lower level, the configuration scheme obtained by the upper level was converted into linear constraints, then the loss of load capacity and operation cost were minimized to achieve the optimal operation of the system. Sequential Monte Carlo simulation method was applied to quantify the reliability, then the operation cost and quantified value of reliability were fed back to the upper level. To verify the proposed ICES planning approach, the configuration optimization of a microgrid-based ICES was investigated, and the relationship between the economics and reliability of different configuration schemes was analyzed. Finally, the selectivity of multi-objective optimization schemes was realized by giving the Pareto optimal solutions.