The mismatch between energy distribution and power load in China can be alleviated by inter-regio... more The mismatch between energy distribution and power load in China can be alleviated by inter-regional and inter-provincial power transactions. However, it also brings challenges to transaction settlement. In the new round of electric power reform, the transaction settlement deviation quantity needs to be more standardized. Based on the analysis of the related work, this article used the analytical framework of the analytic hierarchy process to calculate the transaction type weight, the inter-regional, and the inter-provincial weight, respectively, and accordingly, quantifies the amount of deviation quantity allocated by the corresponding trading subjects. According to the size and volatility of the trading quantity, we further propose a comprehensive weighting method based on kernel density and entropy weight to quantify the deviation quantity of inter-regional and inter-provincial trading subjects of different trading types. Specifically, this article first used the kernel function ...
IOP Conference Series: Earth and Environmental Science, 2020
Fossil energy power generation still plays a key role in the power generation industry, especiall... more Fossil energy power generation still plays a key role in the power generation industry, especially for countries where thermal power generation still dominates. With such potential considerable impact, this article aims to analyze the drivers of peak and valley electricity prices from the perspective of thermal power fuel. Specifically, the study uses data from the highly market-oriented US PJM power market to conduct an empirical analysis and focused on the links with coal, crude oil, and natural gas. Applying the Barunik and Krehlik index method to measure the spillover effect, we find that there is an obvious two-way spillover effect between the thermal power fuels and the electricity market. Besides, such an effect mainly occurs in the short time horizon, and natural gas plays a key role in transmitting the information to electricity prices. At last, this paper further builds a connectedness network based on the results of the pairwise spillovers, thereby visually displaying the...
Along with the progress of the electricity market reform, the formulation of electricity prices a... more Along with the progress of the electricity market reform, the formulation of electricity prices and the bidding in the electricity market have become hot issues. Given that electricity price contains a variety of information in the electricity market and reflects market changes, insufficient understanding of electricity prices or improper response will not only affect the revenue of power supply companies, but also have adverse effects on consumers in the downstream of the electricity market. Taking Zhejiang Province as an example, this paper uses a Multi-objective optimization based on genetic algorithm to calculate the optimal power structure of Zhejiang Province under a competitive electricity market environment and evaluate the impact of the market. The results show that as the market reduces the transaction cost of purchased power, the purchased power to Zhejiang Province has a significant positive role in power cost, stability and cleanliness. The electricity cost could be cut...
The mismatch between energy distribution and power load in China can be alleviated by inter-regio... more The mismatch between energy distribution and power load in China can be alleviated by inter-regional and inter-provincial power transactions. However, it also brings challenges to transaction settlement. In the new round of electric power reform, the transaction settlement deviation quantity needs to be more standardized. Based on the analysis of the related work, this article used the analytical framework of the analytic hierarchy process to calculate the transaction type weight, the inter-regional, and the inter-provincial weight, respectively, and accordingly, quantifies the amount of deviation quantity allocated by the corresponding trading subjects. According to the size and volatility of the trading quantity, we further propose a comprehensive weighting method based on kernel density and entropy weight to quantify the deviation quantity of inter-regional and inter-provincial trading subjects of different trading types. Specifically, this article first used the kernel function ...
IOP Conference Series: Earth and Environmental Science, 2020
Fossil energy power generation still plays a key role in the power generation industry, especiall... more Fossil energy power generation still plays a key role in the power generation industry, especially for countries where thermal power generation still dominates. With such potential considerable impact, this article aims to analyze the drivers of peak and valley electricity prices from the perspective of thermal power fuel. Specifically, the study uses data from the highly market-oriented US PJM power market to conduct an empirical analysis and focused on the links with coal, crude oil, and natural gas. Applying the Barunik and Krehlik index method to measure the spillover effect, we find that there is an obvious two-way spillover effect between the thermal power fuels and the electricity market. Besides, such an effect mainly occurs in the short time horizon, and natural gas plays a key role in transmitting the information to electricity prices. At last, this paper further builds a connectedness network based on the results of the pairwise spillovers, thereby visually displaying the...
Along with the progress of the electricity market reform, the formulation of electricity prices a... more Along with the progress of the electricity market reform, the formulation of electricity prices and the bidding in the electricity market have become hot issues. Given that electricity price contains a variety of information in the electricity market and reflects market changes, insufficient understanding of electricity prices or improper response will not only affect the revenue of power supply companies, but also have adverse effects on consumers in the downstream of the electricity market. Taking Zhejiang Province as an example, this paper uses a Multi-objective optimization based on genetic algorithm to calculate the optimal power structure of Zhejiang Province under a competitive electricity market environment and evaluate the impact of the market. The results show that as the market reduces the transaction cost of purchased power, the purchased power to Zhejiang Province has a significant positive role in power cost, stability and cleanliness. The electricity cost could be cut...
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