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考虑电动汽车影响的农村家庭新能源容量优化配置方法
引用本文:赵安军,王鹏柱,荆竞,高之坤,李旺. 考虑电动汽车影响的农村家庭新能源容量优化配置方法[J]. 中国电力, 2022, 55(8): 31. DOI: 10.11930/j.issn.1004-9649.202110007
作者姓名:赵安军  王鹏柱  荆竞  高之坤  李旺
作者单位:1. 西安建筑科技大学 建筑设备科学与工程学院,陕西 西安 710055;2. 西安建筑科技大学 信息与控制工程学院,陕西 西安 710055;3. 中国建筑西北设计研究院有限公司,陕西 西安 710015
基金项目:国家自然科学基金资助项目(含氢多能源供需系统协同运行的基础理论与关键技术,62192750)。
摘    要:针对以光伏发电为主体的农村家庭新能源系统容量优化配置问题,从用户经济效益的角度出发,提出一种将电动汽车(electric vehicle,EV)用作储能装置且考虑用户出行需求的农村家庭新能源系统全寿命周期优化配置方法。首先构建了以系统年均用能成本最小和自发自用率最大为目标的优化配置模型,并结合市场电价机制及EV的使用需求制定了新能源系统综合运营模式,然后以粒子群优化(particle swarm optimization,PSO)算法求解得到家庭新能源系统中分布式电源的最优配置容量。最后,基于河北省石家庄某典型农村家庭实际用电负荷数据和气象参数进行仿真实验,结果表明:将EV与光伏出力结合,可以有效提高系统能源利用效率,减小家庭用能成本。

关 键 词:农村家庭  运营模式  光伏发电  电动汽车  优化配置  
收稿时间:2021-10-08

Optimal Configuration Method of New Energy Capacity for Rural Households Considering Impact of Electric Vehicles
ZHAO Anjun,WANG Pengzhu,JING Jing,GAO Zhikun,LI Wang. Optimal Configuration Method of New Energy Capacity for Rural Households Considering Impact of Electric Vehicles[J]. Electric Power, 2022, 55(8): 31. DOI: 10.11930/j.issn.1004-9649.202110007
Authors:ZHAO Anjun  WANG Pengzhu  JING Jing  GAO Zhikun  LI Wang
Affiliation:1. School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;2. School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;3. China Northwest Architecture Design and Research Institute Co., Ltd., Xi'an 710015, China
Abstract:For optimal configuration of the rural household new energy system with photovoltaic power generation as main source, a new life cycle optimization configuration method is proposed for rural household new energy system from the perspective of user economic benefits, which uses electric vehicles (EVs) as energy storage facilities and considers the travel demands of users. Firstly, an optimal configuration model is established with the objective of minimum annual system energy cost and maximum self-generation and self-use rate. And a new energy system integrated operation model is formulated based on the electricity price and the demand for electric vehicles. And then the particle swarm optimization (PSO) algorithm is applied to solve the optimal configuration capacity of distributed power in the household new energy system. Finally, simulation experiments are carried out based on actual electricity load data and meteorological parameters for typical rural households in Shijiazhuang, Hebei. Results show that the combination of electric vehicles and photovoltaic power can effectively improve the system energy efficiency and reduce the energy cost.
Keywords:rural family  operating model  photovoltaic power  electric vehicles  optimized configuration  
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