Large electricity consumers can be either a large industrial consumer or a coalition of small electricity consumers. Large consumers (LCs) confront with various uncertainties due to the use of various power resources in the power procurement process, such as renewable resources, self-generation units, forward contracts, and pool market. These uncertainties can be lead to many financial risks for LCs. In this paper, the stochastic power procurement problem of large consumers is solved, and the new risk-measurement method is used to analyze the large consumer risks in power procurement process. The mentioned risk-measurement method is called downside risk constraints (DRC) method, which is used to model the financial risk imposed from uncertain parameters along with the stochastic problems. According to obtained results, it can be concluded that DRC method is a non-equilibrium method, which is applied clearly as a constraint to the optimization problem. In addition by using the DRC, LC can experience lower-risk strategy in the power procurement problem. Also, using DRC can make the total cost of large consumer independent of scenarios, which led to the lower-risk experiencing by the large consumer. Finally, results are expressed that lower-risk cost in DRC is less than the cost of the worst scenario in stochastic programming.

大型电力消费者可以是大型工业消费者，也可以是小型电力消费者的联盟。由于在电力采购过程中使用各种电力资源，例如可再生资源、自备发电机组、远期合同和联营市场等，大用户（LC）面临着各种不确定性。这些不确定性可能会给信用证带来许多财务风险。本文解决了大用户的随机购电问题，并采用新的风险度量方法对购电过程中的大用户风险进行了分析。上述风险衡量方法称为下行风险约束（DRC）方法，用于对不确定参数和随机问题带来的财务风险进行建模。根据所得结果，可以得出DRC方法是一种非平衡方法，明确将其作为优化问题的约束。此外，通过使用DRC，LC可以在电力采购问题上体验到较低风险的策略。而且，使用DRC可以使大消费者的总成本与场景无关，从而降低大消费者的体验风险。最后，结果表明 DRC 中的较低风险成本小于随机规划中最坏情况的成本。