Wind power curtailment is of great importance with the increase of large-scale wind power connected to the grid. A new concept of redundant wind power accommodated by dispatching electric water heaters(EWHs) is develo...Wind power curtailment is of great importance with the increase of large-scale wind power connected to the grid. A new concept of redundant wind power accommodated by dispatching electric water heaters(EWHs) is developed in the paper. Precise predictions of wind power and EWHs load power are the basis for this work. A hybrid multi-kernel prediction approach integrating an adaptive fruit fly optimization algorithm(AFOA)and multi-kernel relevance vector machine(MKRVM) is proposed to deal with the sample distribution of multisource heterogeneous features uncovered by an energy entropy method, where AFOA is used to determine the kernel parameters in MKRVM adaptively and avoid the arbitrariness. For the large computation of the prediction approach, parallel computation based on the Hadoop cluster is used to accelerate the calculation. Then, an economic dispatching model for accommodating wind power is built taking into account the penalty of curtailed wind power and the operation cost of EWHs. The proposedscheme is implemented in an intelligent residential district.The results show that the optimization performance of the hybrid prediction approach is superior to those of four usual optimization algorithms in this case. Regular or orderly scheduling of EWHs enables accommodation of superfluous wind power and reduces dispatch cost.展开更多
针对居民用户家用电热水器(electric water heater,EWH)电能消耗较大的问题,提出一种基于云模型理论的家用电热水器优化控制策略。该控制策略以电热水器水箱内的实时水温和电网下发至居民用户的电价作为云模型发生器的前件,电热水器的...针对居民用户家用电热水器(electric water heater,EWH)电能消耗较大的问题,提出一种基于云模型理论的家用电热水器优化控制策略。该控制策略以电热水器水箱内的实时水温和电网下发至居民用户的电价作为云模型发生器的前件,电热水器的实时功率档位值作为云模型发生器的后件,建立以居民用户家用电热水器用电花费最少为优化目标的控制策略。同时,经过云模型控制器对电热水器的用户参数调整,实现了将居民用户早晚用电高峰转移至其他用电低谷时期的良好效果。仿真结果表明,在满足居民用户基本用水温度需求的前提下,该方法能够有效降低电力公司高电价时间段的用电消耗,从而保证了电网的稳定性。最后,还针对云模型内部参数不同的优化效果进行了对比。展开更多
基金supported by National Natural Science Foundation of China (No. 51407077)Fundamental Research Funds for the Central Universities of China (No. 2017MS095)Technology Project of State Grid Corporation of China Headquarter (No. 5204BB16000F)
文摘Wind power curtailment is of great importance with the increase of large-scale wind power connected to the grid. A new concept of redundant wind power accommodated by dispatching electric water heaters(EWHs) is developed in the paper. Precise predictions of wind power and EWHs load power are the basis for this work. A hybrid multi-kernel prediction approach integrating an adaptive fruit fly optimization algorithm(AFOA)and multi-kernel relevance vector machine(MKRVM) is proposed to deal with the sample distribution of multisource heterogeneous features uncovered by an energy entropy method, where AFOA is used to determine the kernel parameters in MKRVM adaptively and avoid the arbitrariness. For the large computation of the prediction approach, parallel computation based on the Hadoop cluster is used to accelerate the calculation. Then, an economic dispatching model for accommodating wind power is built taking into account the penalty of curtailed wind power and the operation cost of EWHs. The proposedscheme is implemented in an intelligent residential district.The results show that the optimization performance of the hybrid prediction approach is superior to those of four usual optimization algorithms in this case. Regular or orderly scheduling of EWHs enables accommodation of superfluous wind power and reduces dispatch cost.
文摘针对居民用户家用电热水器(electric water heater,EWH)电能消耗较大的问题,提出一种基于云模型理论的家用电热水器优化控制策略。该控制策略以电热水器水箱内的实时水温和电网下发至居民用户的电价作为云模型发生器的前件,电热水器的实时功率档位值作为云模型发生器的后件,建立以居民用户家用电热水器用电花费最少为优化目标的控制策略。同时,经过云模型控制器对电热水器的用户参数调整,实现了将居民用户早晚用电高峰转移至其他用电低谷时期的良好效果。仿真结果表明,在满足居民用户基本用水温度需求的前提下,该方法能够有效降低电力公司高电价时间段的用电消耗,从而保证了电网的稳定性。最后,还针对云模型内部参数不同的优化效果进行了对比。
