基于综合优化目标的低碳园区能源系统规划配置

Multi-energy System Planning and Configuration Study for Low-Carbon Parks Based on Comprehensive Optimization Objectives

低碳园区复合式能源系统合理的规划与配置对提升系统能效、降低成本、减少污染物排放等具有重要意义。首先,基于园区用能需求快速预测方法和能源系统动态仿真平台,提出了以综合评价指标为导向的低碳园区复合式能源系统优化规划配置方法,建立了虎克-捷夫算法和粒子群算法相融合的混合优化算法。然后,以典型低碳园区冷热电三联供耦合地源热泵、蓄能与燃气锅炉的多能系统为例,对比分析了不同优化算法的配置结果和优化速度,研究了综合优化目标最优、全生命周期成本、能耗最低等不同优化目标对容量优化配置结果和系统典型日运行情况的影响。结果表明,本文提出的优化配置方法和混合优化算法可以保证寻优能力、优化精确度,同时提高了优化计算性能。以综合评价目标最优的能源系统配置结果可以兼顾系统成本、经济运行、环境影响及低碳排放等多方因素,更有利于构建低碳园区最优能源形态。

The reasonable planning and configuration of composite system in low-carbon park is of great significance for improving system energy efficiency and reducing costs and pollutant emissions.Firstly,based on the energy-demand fast prediction method for park and the composite energy system dynamic simulation platform,this paper proposed an optimal planning and configuration method for low-carbon park composite energy system,and established a hybrid optimization algorithm combining Hook-Jeff algorithm and particle swarm optimization.Secondly,by taking a multi-energy system with triple supply of cooling,heating and power system coupled with ground source heat pump,energy storage,and gas boiler in a typical low-carbon park as an example,a comparative analysis was made on the configuration results and optimization speed with different optimization algorithms,and a study was conducted on the impacts of different optimization objectives such as optimal comprehensive optimization objective and lowest whole life-cycle cost and energy consumption on the capacity optimization configuration results and typical daily operation situation.The results show that the proposed optimal configuration method and hybrid optimization algorithm can ensure the optimization capacity and accuracy with higher calculation performance.The energy system configuration results with optimal comprehensive evaluation objectives can take into account multiple factors such as system cost,economic operation,environmental impacts and low-carbon emissions,which can effectively realize the optimal energy form of low-carbon parks.