Coordinated Capacity Configuration Method of Source and Storage for Energy Self-sufficient System in Remote Areas
In recent years,numerous studies have been conducted on source and storage capacity configuration in remote areas closely related to wind and solar energy.However,configuring source and storage capacity in remote areas presents distinct challenges due to two significant factors.Firstly,the absence of historical meteorological data makes it difficult to assess the temporal operating characteristics of wind and solar resources.Secondly,the limited connectivity with the main power grid increases the probability of islanded operations.These characteristics challenge source and storage capacity configuration in remote areas,requiring the development of a self-sufficient energy system.To address these challenges,this paper proposes a bi-level optimization strategy for source and storage capacity configuration based on evaluating wind and solar resources while considering grid-connected and islanded operational states.The primary objective is to achieve energy self-sufficiency.First of all,we establish models for wind and solar power output characteristics based on resource endowments such as solar irradiance and wind speed.We then construct a set of typical temporal scenarios for wind and solar energy generation.Subsequently,we develop a bi-level capacity optimization and configuration model,which includes wind and solar power generation,energy storage,and electric vehicles.The study also introduces corresponding model transformation and solution strategies.At the planning layer,the optimization objective is to minimize the overall system cost,determining the capacity allocation for wind,solar,and energy storage.At the operational layer,we consider multi-objective optimization,focusing on minimizing the annual operating costs while simultaneously optimizing grid-connected and islanded performance metrics.Finally,simulation results demonstrate the proposed model's applicability for the remote energy self-sufficient system.The resulting source and storage configuration reduces dependence on the main power grid,promotes local integration of renewable energy sources,and mitigates load-shedding losses.
remote areaenergy self-sufficiencyrenewable energy scenariocapacity configurationmulti-objective evolutionary algorithm
国家科技期刊平台
NSTL
万方数据
维普
