关键词: 峰谷分时定价, 天然气定价模型, 多目标优化, 蚁群算法, 居民用户

Abstract: For the natural gas residential customer, establishing appropriate time-of-use natural gas price, it can shift peak load, and ensure the gas pipelines securely and stably operate. The reaction curve of residential customer and function of satisfaction index are constructed, and then based on this, to minimize the maximum peak load as well as the difference peak load and valley load, and maximize customer satisfaction, the optimized model of Time-of-use price are established on the demanding side. The improved ant colony algorithm is adopted to solve the model, the algorithm has good convergence, and also avoids the shortcoming of local optimum. In ensuring fairness and efficiency, both the customer and gas company can benefit at the same time. The results show the existence of an optimal price for peak, flat and valley, and the customer satisfaction can be maximized, the maximum peak load as well as the difference of peak load and valley load can be reduced effectively, which verify the effectiveness and feasibility of the model. This method provides a theoretical basis for the reasonable natural gas pricing mechanism and the establishment of policies.

Key words: time-of-use pricing, natural gas pricing model, multi-objective optimizing, ant colony algorithm, residential customer