Research On Multi-objective Optimization Strategy Of Electric-gas Interconnected System

As environmental pollution intensifies,reducing greenhouse gas emissions,accelerating the development of new energy technologies and developing clean energy are put on the agenda,natural gas as a pollution-free,rich,convenient transportation of energy is expected to become an important part of the future energy system.Natural gas is used for power generation to form an energy coupling body of multiple energy forms with the biggest power system important body.Various energy sources can used to be an interconnected,mutually beneficial and complementary to absorb the impact of renewable energy on the large power grid,which can effectively improve the efficiency of multiple energy sources usage become efficiency.At the same time,the increasing demand for clean energy also promotes the accelerated development of natural gas system construction.The in-depth research of Power to Gas(Power to Gas P2G)technology has made the integration of the power network and natural gas network in the integrated energy system closer.Not only the interaction and mutual influence between the two systems through coupling elements but also promotes the electricity-gas interconnected energy system to play a very important part in the future integrated energy system.The connection between the power system and the natural gas system had become closer,making it very becoming important to promote the optimal coupling of the electricity-gas interconnected integrated energy system and which further improve the energy efficiency in the conditions of the dispatch and operation of the two relatively independent systems.This paper mainly uses the electricity-gas interconnected integrated energy system as a model to be research and improve the optimal dispatching algorithm of the collaborative electricity-gas combined network.At first,the basic modeling principle of electricity gas interconnected integrated energy system can be presentation,the modeling methods of power network and natural gas network used to be quested,and the machine of gas device with p2 g device is make use of.Then,the electricity and gas used to be interconnected energy system set up based on the analysis of the construct frame,characteristic,operation mechanism and complementary mechanism of each sub energy system mathematical model.Then,draw lessons from the power flow calculation method of the power system,apply it to the natural gas network energy flow calculation,introduce the natural gas system energy flow calculation method,and verify the correctness of the written energy flow calculation program through a calculation example.The correctness of the energy flow calculation procedure is verified though an example.Then,the two operation modes of the power gas interconnected system are talk over,which are the mode of "determining gas by electricity" and the mode of "determining electricity by gas".In MATLAB,calculate the energy flow of the interconnected system of the 5-node power system and the 10-node natural gas system,and then use the particle swarm algorithm to calculate the optimal energy flow of the objective function of the electricity-gas interconnected system operating cost.Finally,the inertia weight and step factor of the basic particle swarm algorithm are adjusted,and the process of the local optimal solution is postponed.The simulation results show that the improved particle swarm algorithm has faster convergence speed and reduced iteration times.At last,considering multi-objective constraints for the electric gas interconnection system,the environmental pollution emission cost constraints are introduced,which makes the model relatively close to the actual problems.Because of its own intricacy and changeable,Due to its own complexity,the basic particle swarm algorithm is difficult to optimize the multi-objective function.So,the Pareto principle is introduced to obtain the optimal solution to the multi-objective constraint.The two operation modes of interconnected system are certificated by instances,which is more useful for comprehensive energy system in the future on energy saving and emission decreasing.