优化不同负荷管理场景下的分时电价

B. Phan, Qui Minh Le, C. V. Vo
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引用次数: 0

摘要

需求响应计划作为一种有效的调节电力消耗的手段在许多国家得到了应用。在这个节目中,使用时间(TOU)关税被广泛使用。根据不同的目标,如降低峰值负荷、改善负荷曲线、节约能源、避免新的峰值负荷,提出了最优分时电价。这是一个具有不同测量单位的多目标函数的问题,采用粒子群算法求解。本文还给出了一个求解某一公用事业单位的最优分时电价的实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing the time of use tariff with different scenarios of load management
Demand Response program is applied in many countries as an effective instrument to regulate the electricity consumption. In this program, time of use (TOU) tariff is used widely. Optimal TOU pricing according to different objectives was mentioned in this paper such as peak load reduction, improving load curve, energy conservation, avoiding a new peak load. This is a problem with multiobjective functions in different unit of measurement and is solved by PSO algorithm. An example to find optimal TOU tariff for one utility is also presented in this paper.
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