Collaborative Planning Of Electric-gas Integrated Energy System Considering P2G Plant Station

In recent years,due to the large-scale wind power access in the power system,the increase of the proportion of gas consumption and the emergence of electricity-to-gas technology,the coupling degree between the power network and the natural gas network has been enhanced.Therefore,it is of great significance to strengthen the green economy feasibility of the operation of Electricity-Gas integrated energy system for the consumption of new energy and low-carbon environmental protection operation in the power system.In this paper,the coupling equipment in the integrated energy system of electricity and gas,the site selection of wind farm and the integrated operation of the interconnected system are studied.The research results are as follows:(1)Aiming at the problem that traditional power grid model fails to consider the influence of natural gas network and coupling equipment,the model of electric-gas integrated energy system and hybrid power flow model are established,and the influence of output fluctuation of coupling equipment on natural gas network is analyzed.The example shows that the change of the output of P2 G equipment has the greatest influence on the air pressure at the access point.The change of the output of gas turbine has an effect on the air pressure along its line.Moreover,it proves that the hybrid power flow model of integrated energy is effective in choosing different equilibrium nodes.(2)In view of the high investment cost and long recovery period of P2 G plants and stations in the power-gas integrated energy system,the wind farm is considered as the main investor in the construction of P2 G plants and stations,and the site selection of joint construction is analyzed.A joint construction site selection model with maximum daily revenue as the optimization objective is established,and an improved pigeon swarm algorithm is proposed to solve the problem by introducing Monte Carlo method of simulated annealing algorithm.The simulation results show that the convergence speed and calculation speed of the improved pigeon swarm algorithm are better than traditional methods.The income of energy saving and emission reduction occupies a large proportion in the combined station.The income of the electric power station is only about 30% of the operating income of the wind farm.The node pressure and pipeline flow of the natural gas network are affected by the establishment of the combined station.(3)To solve the problem that the timing and uncertainty of wind power output and load cannot be reflected in the typical sunrise curve in the operation of Electricity-Gas integrated energy,the k-medoids clustering algorithm is used to reduce and merge the scenes of wind power output and load according to the seasonal division.On this basis,the Electricity-Gas integrated energy system is implemented with the multi-objective operation optimization analysis.A multi-objective optimization model for interconnected power system is established with the objective of minimizing the operation cost and the amount of air discarded.Scenario analysis and numerical examples show that the wind power and load output scenarios obtained by reduction and consolidation are representative to some extent.Weighted average can effectively solve the problem that other objective function values can not reach the optimal value in single-objective optimization and differ greatly from the optimal value.The establishment and operation of power conversion station can effectively reduce the system's outflow and improve the system's energy efficiency.