Research of TOU power price based on multi-objective optimization of DSM and costs of power consumers

Qiuwei Wu, Lei Wang, Haozhong Cheng
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引用次数: 26

Abstract

A new method of determining TOU (time of use) power price is studied which is based on multi-objective optimization of DSM and costs of power consumers. Mathematical model of this TOU power price is developed taking account in interests of both power supply and power consumers. Numerical simulation is made using load and power price data of Zhejiang Province and MATLAB. From simulation results, it is verified that using TOU power price determined in this paper can accomplish the aim of maximizing social benefits which is to obtain optimal balance between load shifting and reducing costs of power consumers. Thus peak load can be reduced to a satisfactory level to relieve the situation that power supply capacity is insufficient. Moreover, costs of power consumers can be reduced that will urge power consumers to adapt to TOU power price.
基于DSM和电力用户成本多目标优化的分时电价研究
研究了一种基于电力需求侧管理和电力用户成本多目标优化的分时电价确定新方法。建立了考虑供用电双方利益的分时电价数学模型。利用浙江省的负荷和电价数据,利用MATLAB软件进行了数值模拟。仿真结果验证了采用本文确定的分时电价能够实现社会效益最大化的目标,即在负荷转移与降低电力用户成本之间取得最优平衡。从而将峰值负荷降低到令人满意的水平,缓解供电能力不足的局面。此外,可以降低电力用户的成本,这将促使电力用户适应分时电价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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