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Optimal Sizing Of The Combined Cooling Heating And Power System Considering Flexible Load

Posted on:2021-04-17Degree:MasterType:Thesis
Country:ChinaCandidate:X R WangFull Text:PDF
GTID:2392330611972028Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
With the rapid growth of microgrid technology,distributed power generation technology,and people's ascending desire for load and power quality,building up and optimizing the economics of microgrid and the utilization rate of renewable energy are important for the development of microgrid systems significance.As a kind of micro-grid,the combined cooling and heating power micro-energy network can realize the cascade utilization of energy,and can realize the coordinated planning of multiple energy sources such as cold,heat,electricity,and gas,which effectively improves the energy utilization rate and reduces the investment and operating costs of energy network construction.The flexible load participates in the operation of the micro-energy network,and can cooperate with the energy storage device to reduce the imbalance between the distributed power supply's output on the energy supply side and the load demand on the user side,and effectively implement the three of distributed power supply,energy storage system,and load demand synergy.Therefore,this paper considers the scheduling of flexible loads while studying the capacity configuration of the combined power system and heat,to achieve the goal of enhancing the utilization rate of renewable energy and reducing the investment and operating spend of the micro-energy grid.The specific work of this article is as follows:First of all,in this study,the structural model of the combined heat and power system considering the flexible load is built up,and the energy flow model of the combined power system is defined based on the energy hub to fully elucidate the coupling between various energy sources in the combined system;The working principle and mathematical model of each distributed power supply in the system are elaborated;Then,ground on the electricity consumption traits of the three types of load(cold,heat,and electricity)on the consumer side,an optimal scheduling model with multiple flexible loads is set up and a demand-side energy management strategy is established.Secondly,the effects of three types of flexible loads(cooling,heating and electricity)on the optimal allocation of the capacity of the combined cooling and heating system arestudied,and the role of flexible loads in the operation of the combined supply system is analyzed;And on this basis,a multi-objective function model considering investment economy and grid connection stability was established;Based on the concept of unitary value,the independent optimal solution of each sub-goal is used as the reference value to carry out the dimensionless treatment of the comprehensive goal,so that the two goals are converted from dimensionless quantities of different orders to dimensionless.Through comparative analysis,it is concluded that the flexible load can cooperate with the energy storage device to suppress the imbalanced power output of the distributed power supply,which is dramatically remarkable in raising the utilization rate of renewable energy and increasing the economics of system operation investment.Finally,comprehensively considering the benefits of the combined heat and power system and the user's electricity satisfaction and response enthusiasm,with the goal of the largest net income of the alliance between the supply and demand sides,a combined heat and power system based on cooperative games Capacity optimization configuration model;A net income distribution scheme based on the Shapely value distribution model is further proposed to construct a fair and reasonable income distribution mechanism for all parties;simulation examples are implemented to confirm the rationality and effectiveness of the model establishment and proposed strategy.
Keywords/Search Tags:CCHP, Size optimization, Flexible load, Cooperative game, Demand side energy management, Energy hub
PDF Full Text Request
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