Advanced Materials Research Vols. 1070-1072

Abstract: Trading regulatory risk arises prominently in the preliminary formulation of a unified and interconnected electricity market in China. Risk indices, evaluation models and methods as well as index weights are three important aspects of a comprehensive trading regulatory risk evaluation. In this paper, firstly, on the basis of the current electricity market environment in China, systematic trading regulatory risk indices used to quantify the risk level of the unified and interconnected electricity market are established. Secondly, evaluation models and a evaluation method of the trading regulatory risk are developed on the basis of synthesis of fuzzy inference and analytic hierarchy process (AHP). The fuzzy set approach is employed to identify the membership degree of each index to various risk levels, while the AHP is used to acquire the weights of the proposed trading regulatory risk indices. Finally, a simulation based case study on the trading regulatory risk evaluation is presented to illustrate the effectiveness of the proposed indices and the evaluation method.

Abstract: In this paper, the fuzzy analytic hierarchy process (AHP) is used to establish the comprehensive evaluation index system for tiered electricity pricing scheme. First the calculation method of each factor is given, and it is translated into centesimal system. Than the fuzzy analytic hierarchy process (AHP) is used to calculate the weights of each factor. This evaluation method quantifies the qualitative indexes, to enhance the scientific and reliability for evaluation of tiered electricity pricing.

Abstract: With the development of electric power system, the people pay more attention to demand-side management. Valid for load classification is an important prerequisite for improving demand side management level. Based on common indicators and load clustering algorithms, new SVC algorithm, cluster validity analysis and similarity measurement of the impact of the judgment are proposed based on load clustering method, and finally the effectiveness of the method is demonstrated by an example.

Abstract: Tou price is based on the price as the guidance, guiding power users according to their own electricity utilization way of flexibility and interest adjustment behavior to realize the purpose of peak peel and improve the load rate. This paper is on the basis of considering the user satisfaction, using plastic load capacity and power generation side coal saving benefit after two measures of implementing peak valley price demand response potential quantitative analysis, and feasibility of implementing peak valley price for a specific region. At last, a big industrial user in a certain area as an example for analysis, the result shows that the implementation of peak valley price can bring potential benefits, and provide a guide that the feasibility of implementing peak valley price in the region.

Abstract: Monthly maintenance schedule has an important guiding significance to day ahead maintenance arrangement. However, the current management of monthly maintenance schedule is short of quantitative analysis methods. Consequently it can’t effectively take the security risk that may exist under monthly maintenance schedule. This paper presents a static security checking method for monthly maintenance schedule. First, established the monthly power grid network model based on the realtime model and device state changes, including the commissioning and decommissioning devices and maintenance devices. Next, the month-contract energy was decomposed to every day and every hour, then combined with monthly load forecast and maintenance schedule, the power system typical operation modes were generated automatically. Finally, quantitative assessment of monthly maintenance schedule was completed by power flow calculation, security analysis and evaluation indexes, including load supply adequacy and equivalent generation capacity loss. This method is instructive for monthly maintenance arrangement and its feasibility is proved by practical application.

Abstract: After the establishment of the unified and interconnected electricity market in China, electricity trading range will cover the entire State Grid operating region, and headquarters market and provincial market will become interconnected, unified and coordinated operation. Aiming at the surveillance risk under the unified and interconnected electricity market, a relatively complete surveillance risk index system is proposed. The proposed risk index system includes six first grade indices, i.e., market state, transaction plan, contract and settlement, market coordination, energy efficiency and power grid operation. The risk index system can reasonably and overall reflect the risk level of the electric power transaction under the unified and interconnected electricity market circumstances. It is useful for State Grid to achieve risk management and control of electricity trading surveillance, rectify the irregularities, and maintain a fair and impartial market order.

Abstract: In the new energy power generation process, because it’s difficult to balance the dynamic energy and the system operation cost is high, the paper puts forward the basic structure of the commercial virtual power plant based on BESS system, then discuss the proper run mode of the virtual power plant to maximize the total revenue. On the basis of the electricity price of the Chinese typical areas and the cost of the BESS system, the paper builds the mathematical model of the economic benefits of the virtual power plant based on BESS system. This paper also builds the regulation optimization simulation model of the virtual power plant based on the aim of maximizing the overall profit of the energy supply and demand sides, and calculates the dynamic balance elements and optimization optimal power output value based on optimization algorithm. The simulation results show that using the virtual power plant based on BESS system to peak load shifting and control frequency is feasible in the economy.

Abstract: The paper deals with the Day-ahead Market of California between Apr. 1st, 1998 and Jan. 31, 2001 and divided each day to high-load period and low-load period, described the characteristics of electricity price fluctuation by ARCH models. The results showed that ARCH models under t-distribution matched the volatility of the sample series quite well, captured the series’ heteroscedasticity and the obvious peak and fat tail effectively; the total risk of the day-ahead market in the sample was high, the impacts from external information on the conditional variances was permanent and sustainable, the impacts could not disappear in a short time once the price were fluctuated; the daily mean price fluctuation and low-load period price fluctuation were not asymmetric; while high-load period were significantly asymmetrical.

Abstract: This paper is provided a method of input the operation point of the electrical power system, located on the existence boundary, in the permissible values range for a given value of the stock. Also the some results of the effect of weighting coefficients accounting for the resulting capacities adjustment using the Newton's method in optimization. The investigations were carried out on a five node test scheme.

Abstract: An evaluation system of loss reduction efficiency was established for power supply companies by using data envelopment analysis methods,and the empirical demonstration research was conducted for loss reduction efficiency of power supply companies in Sichuan.The evaluation results indicate that Institutional reform, grid construction and informationization promote the loss reduction efficiency of the power supply companies in Sichuan. However, due to the development foundation is weak, the scale efficiency is a key factor that restricts the loss reduction efficiency of the power supply companies in Sichuan, therefore, the investment must be increasing in order to improve the overall efficiency work of the power supply companies.