Risk transmission assessment of electricity price chain in China based on ISM and ECM
Electricity price is influenced by a number of factors. The power pricing mechanism currently in place in China does not reflect the scientific relationship between the price and those factors, so that a rational assessment of the electricity price chain is a major problem for China. This paper will argue from a system point of view that a comprehensive electricity price risk assessment model can be established which is based the Interpretative Structural Modelling (ISM) and Error Correction Modelling (ECM). The factors which influence the chain of electricity price were first analysed from an ISM perspective, after which the layered structure diagram and transmission chain of risk factors to power sale price (PSP) were constructed and sorted. The influences of various risk factors were quantified based on the inputoutput method and ECM, while the sequence and the comprehensive influence coefficients of various factors known to affect PSP were calculated. Based on analysis of the case study, the power generation sector and the fluctuations of alternative energy prices are seen to have greater influences on PSP as compared to other risk chains, while coal price is the most direct and critical risk factor, with a comprehensive influence coefficient of 0.37. Avoiding electricity price risk can be achieved by first improving the mechanism of the coalelectricity price linkage. This model describes a new way to assess electricity price risk, which in turn can provide a decision basis for electricity price management and risk prevention in developing countries.
risk transmission assessment electricity price ism ecm influencing factors