Coal-Electric Power Supply Chain Reduction and Operation Strategy under the Cap-and-Trade Model and Green Financial Background

For reliving the pressure of air pollution and corresponding the sustainability development policy in China, the companies are urging the creation of a highly productive low-carbon supply chain. This work uses price regulation, the cap-and-trade model, and a green financial policy background to establish a strategy for the coal–electric power supply chain with two-level carbon reduction and operation with financial constraints. A Stackelberg model was built to help investigate the rate of thermal order realization, the carbon reduction strategy in the coal enterprise, and the amount of thermal energy ordered in the electric enterprise. Results show that under a green financial background, a high bank loan discount rate for investing in carbon reduction technology equates to large carbon reduction in coal enterprises, large quantities of thermal energy ordered in electric enterprises, and high profit for coal and electric enterprises. However, the realization rate of thermal power ordered decreased when the price regulation become strict, thereby reducing the profit and carbon emission in electric enterprise. Therefore, the thermal price regulation level increased, the profit on both company and the production did not respond with sensitivity, and the government could encourage a low carbon model by controlling the bank loan rate.

A Synthetic Condition Assessment Model for Power Transformers Using the Fuzzy Evidence Fusion Method

Condition-based maintenance decision-making of transformers is essential to electric enterprises for avoiding financial losses. However, precise transformer condition assessment was tough to accomplish because of the negligence of the influence of bushing and accessories, the difficulty of fuzzy grade division, and the lack of reasonable fuzzy evidence fusion method. To solve these problems, a transformer assessing model was proposed in the paper. At first, an index assessing system, considering the main body, the bushing and the accessories components, was established on the basis of components division of transformers. Then, a Cauchy membership function was employed for fuzzy grades division. Finally, a fuzzy evidence fusion method was represented to handle the fuzzy evidences fusion processes. Case studies and the comparison analysis with other methods were performed to prove the effectiveness of this model. The research results confirm that the proposed model could be recommendation for condition based maintenance of power transformers for electric enterprises.

Design of Large Consumer Electric Quantity Settlement System

Having a good electric quantity settlement of large consumer is the basic work of electric power enterprises to receive fee in time and ensure the electricity supply. For the conditions that great labour intensity, calculation inaccurate, not timely settlement of traditional manual electric quantity settlement, this paper designs automatic electric settlement system. First, design database and logical structure based on the concept structural design with E-R diagram. Then, research the twelve mathematical formulas used by large consumer electric quantity settlement. Finally, describe the process of electric quantity settlement in natural language. The content of this study, aims to play the superiority of computer system, improve the informationize level of electric enterprises. And provide a practical technology and guidelines for the majority of electric enterprises and developers to develop large consumer settlement system.