A search strategy based on the maximal information gain principle is presented for the cued search of phased array radars. First, the method for the determination of the cued search region, arrangement of beam positio...A search strategy based on the maximal information gain principle is presented for the cued search of phased array radars. First, the method for the determination of the cued search region, arrangement of beam positions, and the calculation of the prior probability distribution of each beam position is discussed. And then, two search algorithms based on information gain are proposed using Shannon entropy and Kullback-Leibler entropy, respectively. With the proposed strategy, the information gain of each beam position is predicted before the radar detection, and the observation is made in the beam position with the maximal information gain. Compared with the conventional method of sequential search and confirm search, simulation results show that the proposed search strategy can distinctly improve the search performance and save radar time resources with the same given detection probability.展开更多
综合需求响应(integrated demand response,IDR)在有效提升综合能源系统(integrated energy system,IES)运行灵活性的同时,其不确定性也使系统的供需平衡调节面临着严峻挑战。为准确量化并应对这一不确定性,该文提出了一种IDR不确定性...综合需求响应(integrated demand response,IDR)在有效提升综合能源系统(integrated energy system,IES)运行灵活性的同时,其不确定性也使系统的供需平衡调节面临着严峻挑战。为准确量化并应对这一不确定性,该文提出了一种IDR不确定性建模及优化决策方法。首先,基于消费者心理学理论及多类型负荷响应机制,建立反映用户随机响应行为的IDR不确定性概率区间模型。其次,提出一种考虑IDR不确定性的IES两阶段随机优化策略。第一阶段基于IDR概率区间与经济激励之间的映射关系,以负荷波动率及IDR偏差率最小为目标,获取引导用户削峰填谷并能降低系统风险储备容量的IDR价格策略。第二阶段考虑价格策略对应的多随机IDR场景,通过价格策略修正、购能和设备出力优化,获得有效应对功率偏差的IES最优随机运行策略。最后,算例分析验证了所提模型和两阶段随机优化决策方法在缓解IDR不确定性风险、提高系统供需平衡调节能力等方面的有效性。展开更多
基金the High Technology Research and Development Programme of China (2003AA134030)
文摘A search strategy based on the maximal information gain principle is presented for the cued search of phased array radars. First, the method for the determination of the cued search region, arrangement of beam positions, and the calculation of the prior probability distribution of each beam position is discussed. And then, two search algorithms based on information gain are proposed using Shannon entropy and Kullback-Leibler entropy, respectively. With the proposed strategy, the information gain of each beam position is predicted before the radar detection, and the observation is made in the beam position with the maximal information gain. Compared with the conventional method of sequential search and confirm search, simulation results show that the proposed search strategy can distinctly improve the search performance and save radar time resources with the same given detection probability.
文摘综合需求响应(integrated demand response,IDR)在有效提升综合能源系统(integrated energy system,IES)运行灵活性的同时,其不确定性也使系统的供需平衡调节面临着严峻挑战。为准确量化并应对这一不确定性,该文提出了一种IDR不确定性建模及优化决策方法。首先,基于消费者心理学理论及多类型负荷响应机制,建立反映用户随机响应行为的IDR不确定性概率区间模型。其次,提出一种考虑IDR不确定性的IES两阶段随机优化策略。第一阶段基于IDR概率区间与经济激励之间的映射关系,以负荷波动率及IDR偏差率最小为目标,获取引导用户削峰填谷并能降低系统风险储备容量的IDR价格策略。第二阶段考虑价格策略对应的多随机IDR场景,通过价格策略修正、购能和设备出力优化,获得有效应对功率偏差的IES最优随机运行策略。最后,算例分析验证了所提模型和两阶段随机优化决策方法在缓解IDR不确定性风险、提高系统供需平衡调节能力等方面的有效性。
