Research On Coordinated Optimization Of Combined Electro-thermal System Containing Renewable Energy For Clean Heating

Using renewable energy is the trend of world energy development.The volatility of renewable energy is increasing along with its installed capacity magnifying,resulting in abandoned wind,light and other issues,impacting on renewable energy consumption seriously.In order to solve this problem,trading the abandoned wind and light and using them supply heat based on power market means under the existing scheduling system can effectively promote the elimination of renewable energy,reduce the consumption of fossil fuels such as coal,and protect the environment.The coordinated optimization of combined electro-thermal system containing renewable energy for heating with controllable electric heating devices is researched in this paper to improve the consumption of renewable energy.The specific research contents are as follows:Firstly,a method for decomposing the monthly trading power of the combined electro-thermal system is put forward based on the monthly trading of abandoned wind and light.A comprehensive distribution coefficient method considering the remaining trade electricity and the abandoned wind and light is proposed,which taking into account the volatility and uncertainty of renewable energy,reducing the deviation of the impaired renewable energy trading power as the goal.Decomposing daily trading power according to the comprehensive distribution coefficient for scheduling the day-ahead dispatch plans.Then,arranging the day-ahead schedule plan according to the decomposition of the monthly transaction volume.The electric heating device is taken as the main control object in the day-ahead dispatching,and the double-layer optimal dispatching and control model of the combined electro-thermal system is established.The provincial power grid dispatching department is the decision maker of upper model,it taking the least amount of fossil energy consumption as a principle to determine the needs of the electric heating system response to resource scheduling program;the electric heating control center is the decision maker of lower model,it arranges the opening of the electric heating devices reasonably,and schedules the electric heating devices in the jurisdiction according to the user's heat storage,which maximize the consumption of renewable energy.Finally,the online rolling optimization scheduling model is established based on the above researches.The optimal model is established with the aim of minimizing the planned adjustment of renewable energy,thermal power and electric heating system and maximizing the consumption of renewable energy,according to the latest forecast of renewable energy.The optimization algorithm combined genetic algorithm and particle swarm is used to solve the model,and the optimal output of the different power plant and electric heating system in the rolling schedule is calculated.It is effective to absorb more renewable energy in the case of reducing the output adjustment of the system.The coordination and optimization of the combined electro-thermal system containing renewable energy for heating is studied in this paper,a method to decompose the monthly transaction electricity considering the fluctuation of the renewable energy output and the day-ahead and rolling optimal scheduling model of the combined electro-thermal system is proposed,the validity of the model is confirmed by means of case studies,which can effectively promote the elimination of renewable energy.