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
针对燃气轮机冷热电联产系统在"以热定电"运行方式下可能造成的电能过剩和部分负荷时效率不高等问题,该文提出一种太阳能与压缩空气耦合储能(solar andcompressed air energy storage,S-CAES)的燃气轮机冷热电联产系统。通过...针对燃气轮机冷热电联产系统在"以热定电"运行方式下可能造成的电能过剩和部分负荷时效率不高等问题,该文提出一种太阳能与压缩空气耦合储能(solar andcompressed air energy storage,S-CAES)的燃气轮机冷热电联产系统。通过燃气轮机冷热电联产系统典型变工况模型和储能系统的Aspen Plus分析模型,获得S-CAES燃气轮机冷热电联产系统的变工况特性;讨论了各子系统的变工况特性和耦合系统在不同储能率下的运行性能,比较了储能系统释气流量调节与空气透平入口温度调节两种调节方式对系统性能的影响。将S-CAES燃气轮机冷热电联产系统用于华南地区某宾馆建筑进行案例分析,结果表明:与无储能燃气轮机冷热电联产系统相比,在夏季、过渡季、冬季典型日,该系统每天分别节约能量16.57、15.94、11.87GJ;平均能量利用率分别提高5.68%、7.88%和4.69%。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.
文摘针对燃气轮机冷热电联产系统在"以热定电"运行方式下可能造成的电能过剩和部分负荷时效率不高等问题,该文提出一种太阳能与压缩空气耦合储能(solar andcompressed air energy storage,S-CAES)的燃气轮机冷热电联产系统。通过燃气轮机冷热电联产系统典型变工况模型和储能系统的Aspen Plus分析模型,获得S-CAES燃气轮机冷热电联产系统的变工况特性;讨论了各子系统的变工况特性和耦合系统在不同储能率下的运行性能,比较了储能系统释气流量调节与空气透平入口温度调节两种调节方式对系统性能的影响。将S-CAES燃气轮机冷热电联产系统用于华南地区某宾馆建筑进行案例分析,结果表明:与无储能燃气轮机冷热电联产系统相比,在夏季、过渡季、冬季典型日,该系统每天分别节约能量16.57、15.94、11.87GJ;平均能量利用率分别提高5.68%、7.88%和4.69%。
