李建华,周灵刚
LI Jianhua,ZHOU Linggang

• 1:国网浙江省电力有限公司台州供电公司

摘要(Abstract)：

需求侧响应是增强电力系统供需平衡能力,提升网络利用效率的重要途径,其开展主要依赖有效的电价机制引导。我国目前普遍采用较为简单的峰谷电价体系,无法有效反映平衡资源稀缺程度,不利于需求响应大规模开展。通过分析柔性电力负荷的电价弹性,以削峰填谷为目标,建立了优化峰谷电划分时段和对应价格水平的运筹模型,将电网与用户获利均不能减少作为经济约束条件纳入优化模型,保证各参与方的利益,并引入遗传算法进行迭代求解,得到了颗粒度更高、资源配置能力更强的峰谷电价体系,最后通过实际算例结果证明其有效性。
Demand response(DR) is an important way to enhance the balance between electricity supply and demand in power system and improve the efficiency of network utilization. The implementation of DR projects depends on an effective electricity price mechanism. At present, a relatively simple time-of-use(TOU) system is adopted in China, which cannot effectively reflect the scarcity of balanced resource, nor is conducive to large-scale development of DR. This paper analyzes the price elasticity of flexible power loads and establishes a mathematical model to optimize the division and duration of peak valley and the corresponding price levels.The guarantee of profits of power grid and users is considered as a constraint condition is included in the optimization model to ensure the interests of all participants. The genetic algorithm(GA) is introduced to solve the problem iteratively. Finally, a peak-valley TOU pricing system with higher granularity and resource allocation capacity is obtained, and the effectiveness of the system is verified by an example.

关键词(KeyWords)： 需求响应;分时电价;削峰填谷;价格弹性;优化模型
demand response;TOU;peak shaving and valley filling;price elasticity;optimization model

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目（5211TZ1900S5）

作者(Author): 李建华,周灵刚
LI Jianhua,ZHOU Linggang

DOI: 10.19585/j.zjdl.202012008

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