The Optimization Models Of Provincial Power Grid Companies’ Purchasing And Selling Electricity Under The Energy-Saving Dispatching Environment

The rapid development of the global economy caused a rapid increase in energy consumption. Coal, oil, natural gas and other primary energy consumption has increased year by year, which led to the constantly rise of carbon dioxide emissions. According to the relevant agencies’statistical data, as the main energy consumption of China, the proven storage capacity of coal would be used up in105years. While, the oil will be depleted in15years, natural gas resources in30years and oil reserves-only in50years. With the depletion of oil, coal and other fossil energy and the continuously deteriorating of environmental pollution and the greenhouse effect, the energy crisis and environmental protection has become major problems to be solved, in order to achieve the goal of sustainable development. From2006, overtaken the U.S. as the world’s largest greenhouse gas emitting country, China is facing increasing environmental pressures. Coal consumped by power industry takes for more than half of the total coal consumption of the nation, being the major energy consumption and pollution emissions industry. Therefore, the measures to reduce emissions implemented in power industry have an important role in the implementation of China’s overall energy saving policy. As the most important measures of the electricity sector responding to the energy saving policy, the energy-saving generation scheduling has been proposed in2007. In the energy-saving dispatching environment, the environment of power companies’purchase and sale electricity changed a lot, compared with the previous ones. In order to analysis the electric power company how to make purchase and sale tragedy choice in energy-saving dispatching environment, this paper analyzed the environment changes of the power companies’purchase and sale electricity in energy-saving scheduling environment, and then established the provincial power company purchase and sale electric optimization model inside and outside the province, providing an important basis for electric power company in choosing the strategy of purchasing and sailing electric. The main work accomplished by this paper as follows:(l)From the structure of the power market, trading mode and the content of energy-saving dispatching policy, the article analysis the environment changes of the power companies’purchase and sale electricity in the energy-saving dispatching environment.(2)The article studied the electric power companies’purchase and sale process in energy-saving dispatching environment. Based on the planning scheduling optimization model of electricity purchasing, this paper introduced the power generation right trading process and optimization model in the energy-saving dispatching environment, then established the water, thermal power purchase of electricity optimization model and the wind, thermal power purchase of electricity optimization model and the wind, water, thermal power purchase of electricity optimization model. At last, compared wind power, water and electricity grid amount, wind energy utilization and electric power company constitute a cost under the three kinds of power purchase optimization model.(3)Researched on the interregional power generation right trading mechanism, the article puts forward the power generation calculation model under the consideration of the loss of power coal transportation and the loss of the power transmission, and generating power dealmaker model.(4)Based on the analysis of the provincial power companies’income and cost, put forward the power company profit’s influencing model inside and outside the province, analyzing the influence of the price gap between purchase and sales power on power company profit. And then the article made uncertainty analysis of provincial power companies’purchase and sale power profit. Based on the above research, this paper proposed the power purchase optimization model for the power company in contract and real-time power market, and in time-of-use electricity price of purchasing price under the energy-saving dispatching environment.(5) Using the ISM analysis model analyzed the risk factors that the power company is facing, and then proposed some risk control management advice.