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Aiming at the fuzziness and randomness existed in the electric power market operation efficiency evaluation, and evaluation index selection in different regional electricity market such as subjectivity and uncertainty problems, put forward reasonable and effective method of electric power market operation efficiency evaluation. Firstly, on the basis of the electric power market operation efficiency level boundary information, the subjective weighting method of the analytic hierarchy process and the objective weighting method of entropy weight method are combined to integrate by additive integration to evaluate the comprehensive weight of all indexes of the operation efficiency of the power market. Secondly, the analysis method of the uncertainty of the cloud model is combined with the qualitative and quantitative analysis methods of the matter-element theory in the extension theory, and it establishes an evaluation model of power market operation efficiency based on extension cloud theory. On this basis, the credibility factor and risk factors are introduced to reflect the credibility and risk information of the assessment results. Finally, an example is given to verify the rationality and validity of this method.

The power demand response capacity of electric car, refrigeration storage, communication base station and resident users in the pilot area was studied by Monte Carlo simulation, and the ratio of peak clipping scale to maximum load in summer was quantitatively evaluated based on sample data. The research shows that the electric bus has a more stable electric load, and can participate in the demand response by adjusting the charging period, and the response ratio can reach 80%. The short-term shutdown of the refrigeration storage will not affect the cooling effect, and the way of participating in the demand response is similar to the central air conditioning of the building, with the response ratio reaching 80%. The communication base station can participate in the demand response by enabling the battery, and the response capacity of a single macro station is 3 kw. Residential users can participate in the demand response by cutting electricity consumption during peak hours, and the cut could be about 40% of peak summer consumption.

In order to reduce the peak load in the period of power shortage through power demand side response, it is necessary to evaluate the peak cutting potential of major industries in this region. Based on electricity information acquisition system and big data mining analysis technology, this paper proposes a peak-clipping potential assessment method and process for power demand side response based on the characteristics of different industries, and evaluates and ranks the peak-clipping potential of 17 major industries in Henan Province. The evaluation method and results provide a theoretical basis for studying and judging the peak cutting scale and target in advance.

With the improvement of residents’ living standards, the cooling and heating load are increasing rapidly, and the influence of temperature on the unified scheduling electricity consumption is increasing. Based on the temperature gradient change, the monthly unified scheduling electricity consumption prediction research is carried out to quantify the influence of temperature on the unified scheduling electricity consumption, and the unified scheduling electricity consumption prediction is performed for a provincial power grid. The example further proves the feasibility and effectiveness of the prediction method.

(2004). A Million-Yuan Annual Salary for Professors : Is It Worthwhile After All? Chinese Education & Society: Vol. 37, No. 2, pp. 88-95.