Research On Capacity Configuration Optimization And Operation Scheduling Of Qinghai Rural Household Renewable Energy System

With the rural revitalization strategy and the support from the "carbon neutrality and emission peak" target,rural households have become increasingly reliant on the renewable energy system represented by distributed photovoltaics and energy storage(PES).Nevertheless,reasonable PES capacity configuration and system operation strategy are important guarantee for efficient and stable operation of the system and for balancing supply and demand.This paper investigates the capacity configuration and operation scheduling of distributed renewable energy systems based on actual research data of typical rural households in Qinghai.The specific content is as follows:(1)Capacity configuration optimization of distributed PES.Aiming at the problem of capacity configuration of PES,firstly,a life-cycle capacity configuration method based on the two-layer virtual power plant architecture,and an energy trading model among multi-household micro-grids is established based on the operation mode of spontaneous self use of surplus electricity for grid connection.Then,the optimal configuration model which aiming at minimizing annual energy cost and maximizing the rate of renewable energy utilization at the village network level is established and solved by the improved butterfly optimization algorithm based on hybrid strategy.The simulation results show that the capacity of PV and energy storage configuration obtained based on the solution of this configuration method can effectively reduce the energy cost and carbon emission and improve the utilization rate of renewable energy,thus verifying the reasonableness of the capacity configuration results.(2)Day-ahead scheduling optimization of home energy system.Aiming at the high cold climate conditions in rural areas of Qinghai and the high cost of traditional electric heating,firstly,a home energy management system architecture based on the energy use mode of "photovoltaic + regenerative thermal heating" is proposed.Secondly,the running process and control strategy of household electrical equipment are modeled.Then,a day-ahead scheduling optimization model is established with the objectives of minimum energy cost,maximum comfort and minimum interactive power’s peak-to-average ratio,and solved by multi-objective atom search optimization algorithm based on the Pareto optimization theory.The results demonstrate that the scheduling strategy can effectively reduce the electricity bills and improve the stability of the system basis on the energy requirement satisfaction.(3)Optimization of energy scheduling in multi-household micro-grid.In order to solve the problem of energy mutual economy among multi-household micro-grids,firstly,a multi-household micro-grid architecture and equipment model under distributed architecture are constructed.Secondly,a distributed scheduling optimization model is set up to minimize the power cost of each household micro-grids.Finally,the model is solved by the distributed alternating direction multiplier method.The simulation experiment takes a multi-micro grid system composed of 50 households as an example,which shows that the proposed scheduling strategy can promote the further utilization of renewable energy by motivating users to prioritize energy trading.The research presented in this paper provides a scientific basis for the capacity configuration and operation scheduling scheme of Qinghai rural household renewable energy system,which is of great importance for achieving the energy transformation,promoting the local consumption of renewable energy,speeding up the rural revitalization and the goal of "carbon neutrality and emission peak".