Application of Compromise Programming in the Energy Generation Planning

The need for the right electricity planning is closely related to the analysis that has to be done on its generating capacity. Of course, in order to make such planning, the choice of the method by which the process is carried out must be considered. The inclusion of multiple objectives (goals) enables us to create models that are useful in researching and expanding electricity generation systems. Compromised programming used in this paper aims to find compromise solutions among different conflicting objectives in the electricity generation system. One such case is the goal of minimizing the cost and CO2 emissions. Using this logic, the paper deals with an example of electricity generation planning for a given region.

Analysis on the factors of daily electricity sales of urban and rural residents in Hunan province

It’s of practical significance to explore the internal law of the fluctuation of the daily electricity sales of the urban and rural residents in Hunan province for the electricity planning and resource allocation in Hunan province. In this paper, after considering the economic meaning of electricity sales changes, a variety of factors were selected to influence the electricity sales of urban and rural residents in Hunan province, and the monthly residential electricity demand model from 2014 to 2019 was constructed, and the gradual regression was carried out. The results show that the per capita disposable monthly income (dpi) and non-comfortable days (ncd) have significant impacts on the electricity sales of urban and rural residents. And for every 1% increase in dpi or for each additional day of non-comfort days per month, the domestic electricity sales of urban and rural residents will increase by 0.49% or 0.01%. In addition, under high temperature and low temperature conditions, the influence of precipitation presents asymmetric characteristics.