摘要
目前与风光新能源密切相关的城市源储容量配置研究较多,但在偏远地区进行源储容量配置具有显著不同的两个特点:一是普遍缺失气象历史数据,难以评估风、光时序运行特性;二是与主网联系薄弱,离网运行可能性较高。上述特点给偏远地区源储容量配置带来了挑战,需要构建以自给自足为特征的能源自洽系统。为此提出一种基于风光自然资源评估且兼顾并/离网两个运行状态、以能量自给自足为主要目标的源-储双层优化配置策略。首先建立由太阳辐射强度和风速等资源禀赋确定的风光出力特性模型,并在此基础上构建风光出力典型时序场景集;然后建立包含风光、储能、电动汽车等在内的系统源-储-荷规划-运行双层容量优化配置模型,并提出相应模型转化和求解策略。其中,规划层以系统综合成本最小为优化目标,确定风电、光伏和储能配置容量;运行层基于并网和离网综合指标,实现兼顾并/离网两个状态的年运行成本最小以及并/离网指标最优的多目标优化。最后算例仿真结果证明了所提模型适用于偏远地区能源自洽系统,所得源储配置可减少系统对电网依赖,促进新能源就地消纳,减少负荷缺电损失。
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 l
作者
伍峻杭
刘继春
吴沂洋
WU Junhang;LIU Jichun;WU Yiyang(College of Electrical Engineering,Sichuan University,Chengdu 610065,Sichuan Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2024年第5期2031-2042,I0065,共13页
Power System Technology
基金
国家自然科学基金项目“竞争性售电服务市场基础理论与关键技术”(U2066209)。
关键词
偏远地区
能源自洽
可再生能源场景
容量配置
多目标进化算法
remote area
energy self-sufficiency
renewable energy scenario
capacity configuration
multi-objective evolutionary algorithm
