Power And Heat Economic Scheduling Of Integrated Energy System

With the development of energy internet,the correlation and complementarity of various energy on different time scales deepen fast,and the coupling relationship of various devices in the system is more intricate.For the multi energy integrated energy system,building a comprehensive economic scheduling model and proposing an appropriate solution is of great significance to break the original dispatching mode of decentralized energy supply,to improve the energy utilization rate and to system economic operating.Therefore,the following researches are carried out in this paper:(1)For the issue of large amount of wind curtailment under the mode “power ordering by heat” in North China and the high cost of power and heat energy scheduling,a day-ahead economic scheduling model of power and heat integrated energy system is established.First of all,economic model of electrical energy storage,heat storage and electric vehicle is constructed,description method of wind power cost is improved;Furthermore,an optimal economic dispatching model of integrated energy system is established in the view of society considering wind curtailment cost,dispatching electric vehicle cost,operation cost of electrical energy storage and heat storage,environmental pollution cost and so on;In addition,the abundance of particles is measured by using information entropy,a chaos particle swarm optimization algorithm improved through greedy mutation strategy based on particle dimension entropy is put forward to calculate the optimal output of each unit and the total operation cost during the scheduling period.Finally,several cases are designed to compare and analyze the effect of each equipment unit in system operating and wind power accommodation,meanwhile,iterative results of the algorithm proposed and other algorithms are contrasted,which verify the effectiveness and practicability of the model and algorithm.(2)For the issue of benefits distribution among different agents in multi-energy microgrid economic day-ahead scheduling which containing heat and power energy,the comparison and analysis of optimization results considering global interests and multi-agent interests are carried out.Firstly,based on the output models of various energy production/conversion devices in multi-energy microgrid and power exchanged between the microgrid and a superior power grid,a day-ahead economic scheduling model objective at minimum the global operation cost in microgrid is constructed;Furthermore,a day-ahead economic scheduling mathematical model considering benefits equilibrium among multiple agents,including renewable energy owner,microgrid energy provider,and electric vehicle owner,is established,the solution method to this model is put forward based on Nash equilibrium game theory;finally,the economic dispatching results on practical cases of global interests unification and multi-agent interests equilibrium are contrasted and analysis,which then verify the effectiveness and practicability of the models and method in the paper.