Retailers in the sale side market may face strict power deviation assessment for low electricity consumption or load forecasting errors

which may lead to greater losses. For this problem

before the day-ahead trade

based on the scenario analysis method

a day-ahead optimization model is built by using the cost expectation of the retailers as an objective

which includes the cost of interruptible load and power transfer strategy. Then after the market clearing

according to the market clearing price

the interruptible load and power transfer strategy are optimized and updated to further reduce the power deviation. When settling the power costs

Shapley value and minimum costs remaining savings(MCRS)method are adopted to allocate the cost of the retailers individually. The influence of the interruptible load and power transfer price on the costs of the retailers with power deviation in different scenarios is analyzed by case studies. In addition

the results verify the applicability of two cost allocation methods.