Research On Complementary Operation And Benefit Distribution Strategies Of Distributed Electricity-natural Gas Coupling Facilities | | Posted on:2022-08-02 | Degree:Master | Type:Thesis | | Country:China | Candidate:Y J Yang | Full Text:PDF | | GTID:2492306566976549 | Subject:Technical Economics and Management | | Abstract/Summary: | PDF Full Text Request | | In the era of energy revolution with the theme of "clean,low-carbon,safe and efficient",distributed electricity-natural gas coupling facilities,which can improve energy utilization efficiency and strengthen the accommodation of renewable energy,have received widespread attention.Among them,the combined cooling heating and power(CCHP)micro-grid(typical distributed natural gas→electricity(cooling,thermal energy one-way coupling facility)and power-to-gas(P2G)facility(typical distributed electricity→natural gas one-way coupling facility)have the characteristics of being close to users,high flexibility and environmental friendliness,which are significant carriers to promote the transformation of energy structure in China.Therefore,this paper takes CCHP micro-grid and P2 G facility as the research objects,specifically studies their complementary operation and the distribution of the benefits between them,which are key issues related to their sustainable development.The research contents are as follows:(1)This paper analyzes the technical economic characteristics of CCHP micro-grid and P2 G facility.Then,a CCHP-P2 G complementary system is proposed by introducing a carbon capture equipment,which can realize the bidirectional flow of electrical power and natural gas.Moreover,the operation mechanism of CCHP-P2 G complementary system that participates in electricity and natural gas markets is described.(2)The risk explicit interval parameter programming(REIPP)method is improved in this paper based on fuzzy set theory.Specifically,the uncertainties of electricity and natural gas market prices and wind power outputs are described by interval numbers.After that,the system risk caused by the fluctuation of uncertainties is quantified.Then,taking the minimum risk value as the objective function and the stable operation and cost control as the constraints,the operation optimization model for CCHP-P2 G complementary system using REIPP method is constructed.Furthermore,the fuzzy set theory is introduced to improve the model.Finally,the energy scheduling strategy of the complementary system is obtained by solving the improved REIPP model.(3)A benefit distribution model is proposed based on Shapley value method to solve the problem of incremental revenue division caused by different investment entities of CCHP micro-grid and P2 G facility in practical application.Specifically,the operation optimization models for CCHP micro-grid and P2 G facility are firstly constructed based on the improved REIPP method.According to the solution results of the three operation models mentioned above,the characteristic functions for the complementary system,CCHP microgrid and P2 G facility are defined based on their operational costs.Then,the Shapley value method is applied to obtain the cost allocation strategy for the complementary system,and the benefits to be allocated are defined by calculating the incremental revenues.Finally,in the light of the contribution degrees of CCHP microgrid and P2 G facility,the benefit distribution strategy considering individual rationality and holistic rationality is acquired.(4)The simulations of the abovementioned three operation models are carried out to obtain the individual operation strategies for CCHP micro-grid and P2 G facility as well as the integrated operation strategy for the complementary systems.The simulation results verify the rationality of the proposed complementary operation mechanism,the superiority of the improved REIPP method and the effectiveness of the benefit distribution model. | | Keywords/Search Tags: | combined cooling,heating and power micro-grid, power-to-gas, interval parameter programming, fuzzy set theory, Shapley-value method | PDF Full Text Request | Related items |
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