Capacity Configuration And Optimal Dispatch Of The Wind-PV-Thermo-Electric-Hydrogen Micro-grid System

With the development of economy,the problems of resources,energy and environment have become serious,and the energy structure needs to be reformed.Distributed power generation technology is popular for its efficiency and environmental protection.With the innovation of technology and the increase in the diversity of load demand,the energy storage and supply system with a single energy source can no longer meet the increasingly complex needs of micro-grids.Therefore,developing a multi-energy complementary energy storage system has become one of the solutions.This system can not only achieve efficient utilization and balanced distribution of energy,but also improve the reliability and stability of the micro grid;It also helps to reduce dependence on traditional energy and promote sustainable development.Hydrogen is a clean and competitive energy carrier that can be used for energy transformation and storage,and is an effective way to save energy and reduce emissions in China.Thermal energy control is an important way to achieve energy consumption and structural optimization,clean and low-carbon,and sustainable development.To sum up,it is of great practical significance to study the capacity configuration and optimal scheduling of the Wind-PV-Thermo-Electric-Hydrogen micro-grid system.Firstly,based on the system structure of the Wind-PV-Thermo-Electric-Hydrogen micro-grid system,the operation mechanism of various types of micro-source and energy storage units is described.Build a complete mathematical model of the Wind-PV-Thermo-Electric-Hydrogen micro-grid system.By coupling hydrogen energy systems with thermal and electrical energy systems,mutual conversion and cascade utilization of different forms of energy are achieved,improving the energy utilization rate of the system,and achieving the storage and utilization of multiple energy sources.Then,a rational control and operation strategy is designed to optimize the capacity configuration of the micro-grid system using an improved Beetle Antennae SearchGenetic Algorithm(BAS-GA),with the objectives of economy,environmental friendliness and stability.The validity of the model is verified by setting up configuration scenarios with different combinations and factor ratios.Considering micro-source ageing and load growth,an overall phased planning is carried out to achieve multi-objective balance and economy and stability over the whole life cycle.Thirdly,a day-ahead-internal optimal dispatch framework is proposed for the scenery-thermo-hydrogen micro-grid system to achieve efficient utilization and economy.The framework consists of a day-ahead and an intra-day optimal dispatch model for energy dispatch in different time periods.The day-ahead optimal scheduling model is solved using the Standard Particle Swarm Optimization(SPSO)algorithm with the system cost optimization as the objective function;the intra-day optimal scheduling model is solved using the Improved Multi-objective Particle Swarm(IMPS)algorithm based on ultra-short-term forecasting results and day-ahead scheduling.Finally,a validation is carried out based on the actual situation in a remote area in western China.The results show that the day-ahead optimal scheduling model can meet the energy demand of users in different seasons,and the hydrogen storage system can be well coupled with other micro-sources to improve the economy and environmental protection of the whole system.The intraday optimal dispatch model achieves cost reduction under different seasons,demonstrating the effectiveness of the model.At the same time,the paper also compares and analyses two different optimal dispatch models in terms of micro-source output,further validating the economy and accuracy of the intra-day optimal dispatch model.