计及光伏出力不确定性的用户侧需量申报策略

Contract Demand Decision for Electricity Users With Stochastic Photovoltaic Generation

基于当前我国的两部制电价和分布式光伏大量接入的现状,为大型工商业用户的合同最大需量决策建立了一个以期望为导向的随机优化模型,并推导了优化模型解的解析形式。结果表明,用户的最优需量申报策略由惩罚性价格阈值、超额需量电价的倍率、月最大功率分布函数等决定。该模型可以用于求取合同需量申报值,并预估用户的电费支出。仿真结果验证了该模型的全局凸性,以及对各省需量电费细则的有效性。通过仿真分析了需量电费规则的几种调整方式的影响,提出一种改变需量电费规则的建议。

Based on the current practice of two-part electricity price in China,a stochastic model was established for deciding the contract demand of large industrial and commercial customers.The analytical solution of the proposed model was conducted,which shows that the optimal demand for contracting is determined by the threshold of excessive demand,the ratio of excessive demand price to normal demand price,and the inverse of the distribution function of the maximal demand in the next billing period.Simulation results confirm the effectiveness of the proposed solution method to different detailed demand charging rules.Based on simulation results,several ways to change the demand charge rule were discussed,and a suggestion was proposed.