阶梯电价下居民峰谷分时电价测算优化模型

为了在现有居民阶梯电价的基础上设计峰谷分时电价，使两种价格相结合，从而进一步引导居民合理用电，提高能源效率，提出一套阶梯电价下居民峰谷分时电价测算优化模型与方法。首先，按现行各档阶梯电价的用户覆盖范围，将全体居民户分为相对应的各子群体细分市场；其次，构造各子群体细分市场的分时电价需求响应函数并建立相应的峰谷分时电价优化目标函数集；再次，在各子群体细分市场内构建峰谷分时电价约束条件集；最后，联合目标函数及约束条件，形成各细分市场的峰谷分时电价优化模型，模型的输出结果，即为对应各阶梯的最优峰谷分时电价。算例仿真验证了模型的合理性与可行性，敏感性分析进一步揭示了各阶梯最优峰谷电价结果随需求响应变化的规律。

Optimization Model of Residential Time-of-Use Tariff Calculation under Multi-Step Electricity Price

ABSTRACT： To design time-of-use (TOU) tariff based on the existing residential multi-step electricity price, and combine the two kinds of prices, which further lead to the rational use of electricity and improve energy efficiency, this paper proposes the optimization model and method of residential TOU tariff calculation under multi-step electricity price. Firstly, according to the user coverage of current each step price, we divide whole residential households into the corresponding sub-group market subdivision. Secondly, we construct the TOU tariff responsive function of every market subdivision, as well as the corresponding optimization objective function set of TOU tariff. Thirdly, we build the constraint condition set of TOU tariff in every market subdivision. Lastly, we construct the TOU tariff optimization model of every segment market with combining the objective function and the constraint condition, whose output result is the optimal TOU tariff for each step. The rationality and feasibility of the model are verified in the example simulation, and the sensitive analysis further reveals the changing law of the optimal TOU tariff results for each step with the demand response.