Power Customer Resource Value Evaluation Model Based on TOPSIS and Grey Correlation Degree Method Under Background of Power Sales Side Market Liberalization

摘要

In the future the electricity selling companies need to evaluate customer resource value scientifically and rationally for improving profitability. This paper analyzes the connotation of power customer resource value, divided into the current value and potential value. It evaluates the current value according to power customers' financial situation, the level of purchase, electrical characteristics and evaluates the potential value through the power customer credit status, power customer development potential, building a power customer resource value evaluation index system containing 46 four level segment indexes. In order to improve the rationality of giving weight to various factors, it constructs TOPSIS comprehensive evaluation method based on gray correlation degree optimization, evaluating the customer resource value to provide support for the electricity selling companies making decision.