With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm impro...With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm improvement.To reduce the operational costs of micro-grid systems and the energy abandonment rate of renewable energy,while simultaneously enhancing user satisfaction on the demand side,this paper introduces an improvedmultiobjective Grey Wolf Optimizer based on Cauchy variation.The proposed approach incorporates a Cauchy variation strategy during the optimizer’s search phase to expand its exploration range and minimize the likelihood of becoming trapped in local optima.At the same time,adoptingmultiple energy storage methods to improve the consumption rate of renewable energy.Subsequently,under different energy balance orders,themulti-objective particle swarmalgorithm,multi-objective grey wolf optimizer,and Cauchy’s variant of the improvedmulti-objective grey wolf optimizer are used for example simulation,solving the Pareto solution set of the model and comparing.The analysis of the results reveals that,compared to the original optimizer,the improved optimizer decreases the daily cost by approximately 100 yuan,and reduces the energy abandonment rate to zero.Meanwhile,it enhances user satisfaction and ensures the stable operation of the micro-grid.展开更多
为提高冷热电联供(Combined Cooling Heating and Power,CCHP)型微网的综合运行效益,建立了以运行费用最小和二氧化碳排放量最小为目标的优化模型。针对源荷的不确定性,提出了基于误差场景整体生成与缩减的典型场景获得方法,并引入伪F-...为提高冷热电联供(Combined Cooling Heating and Power,CCHP)型微网的综合运行效益,建立了以运行费用最小和二氧化碳排放量最小为目标的优化模型。针对源荷的不确定性,提出了基于误差场景整体生成与缩减的典型场景获得方法,并引入伪F-统计(Pseudo F-statistics,PFS)指标用于确定最佳场景缩减数目。实例计算表明,与不考虑源荷不确定的确定性优化方法相比,所提方法在应对源荷的不确定性上具有较好效果,运行费用平均下降0.31%,二氧化碳排放量平均下降4.85%。此外,计算分析表明,应用PFS指标确定最佳聚类数目可以找到模型应对源荷不确定的能力与计算时间之间的平衡点,提高模型计算效率。展开更多
在传统的利用内燃机驱动的冷热电三联供(combined cooling,heating and power,CCHP)系统的基础上,文章提出了结合太阳能发电和内燃机联合驱动的新型冷热电联供系统模型,并加入了储能电池以提高可再生能源的利用率并克服太阳能发电的缺点...在传统的利用内燃机驱动的冷热电三联供(combined cooling,heating and power,CCHP)系统的基础上,文章提出了结合太阳能发电和内燃机联合驱动的新型冷热电联供系统模型,并加入了储能电池以提高可再生能源的利用率并克服太阳能发电的缺点;通过分析新型CCHP系统的能量流动过程,针对该新型模型提出了基于该系统的经济性、一次能源消耗量、用户满足度的多目标优化模型,以天然气的使用量、向电网侧的购电量以及切除的负载数为优化变量,使用字典序优化算法对其进行求解。展开更多
为提高可再生能源的有效利用和冷热电联供系统的综合性能,在天然气冷热电联供系统中引入光伏电池、风力发电、地源热泵和储能单元,构建一种耦合可再生能源的天然气冷热电联供(wind-solar-storage and heat pump,combined cooling,heatin...为提高可再生能源的有效利用和冷热电联供系统的综合性能,在天然气冷热电联供系统中引入光伏电池、风力发电、地源热泵和储能单元,构建一种耦合可再生能源的天然气冷热电联供(wind-solar-storage and heat pump,combined cooling,heating and power,WSSH-CCHP)系统,利用层次分析法(analytic hierarchy process,AHP)建立考虑能效、经济及环境性能的综合评价指标,采用混合整数线性规划(mixed integer linear programming,MILP)算法,对该系统进行设备选型、容量配置及运行策略协同优化,以分供系统(separate production,SP)为参照系统,以山东大学某能源中心为例,分析该系统集成优化效果及其运行特性。研究结果表明,该系统的综合指标优化结果相比SP系统提高37.8%,具有较好的综合性能,为耦合风光储及热泵天然气CCHP系统的发展及其集成优化与运行特性研究提供了参考。展开更多
基金supported by the Open Fund of Guangxi Key Laboratory of Building New Energy and Energy Conservation(Project Number:Guike Energy 17-J-21-3).
文摘With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm improvement.To reduce the operational costs of micro-grid systems and the energy abandonment rate of renewable energy,while simultaneously enhancing user satisfaction on the demand side,this paper introduces an improvedmultiobjective Grey Wolf Optimizer based on Cauchy variation.The proposed approach incorporates a Cauchy variation strategy during the optimizer’s search phase to expand its exploration range and minimize the likelihood of becoming trapped in local optima.At the same time,adoptingmultiple energy storage methods to improve the consumption rate of renewable energy.Subsequently,under different energy balance orders,themulti-objective particle swarmalgorithm,multi-objective grey wolf optimizer,and Cauchy’s variant of the improvedmulti-objective grey wolf optimizer are used for example simulation,solving the Pareto solution set of the model and comparing.The analysis of the results reveals that,compared to the original optimizer,the improved optimizer decreases the daily cost by approximately 100 yuan,and reduces the energy abandonment rate to zero.Meanwhile,it enhances user satisfaction and ensures the stable operation of the micro-grid.
文摘在传统的利用内燃机驱动的冷热电三联供(combined cooling,heating and power,CCHP)系统的基础上,文章提出了结合太阳能发电和内燃机联合驱动的新型冷热电联供系统模型,并加入了储能电池以提高可再生能源的利用率并克服太阳能发电的缺点;通过分析新型CCHP系统的能量流动过程,针对该新型模型提出了基于该系统的经济性、一次能源消耗量、用户满足度的多目标优化模型,以天然气的使用量、向电网侧的购电量以及切除的负载数为优化变量,使用字典序优化算法对其进行求解。
文摘为提高可再生能源的有效利用和冷热电联供系统的综合性能,在天然气冷热电联供系统中引入光伏电池、风力发电、地源热泵和储能单元,构建一种耦合可再生能源的天然气冷热电联供(wind-solar-storage and heat pump,combined cooling,heating and power,WSSH-CCHP)系统,利用层次分析法(analytic hierarchy process,AHP)建立考虑能效、经济及环境性能的综合评价指标,采用混合整数线性规划(mixed integer linear programming,MILP)算法,对该系统进行设备选型、容量配置及运行策略协同优化,以分供系统(separate production,SP)为参照系统,以山东大学某能源中心为例,分析该系统集成优化效果及其运行特性。研究结果表明,该系统的综合指标优化结果相比SP系统提高37.8%,具有较好的综合性能,为耦合风光储及热泵天然气CCHP系统的发展及其集成优化与运行特性研究提供了参考。
