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基于户间调度的青海农村家庭光储容量配置优化 被引量:4

Configuration Optimization of Photovoltaic and Energy Storage Capacity for Rural Households in Qinghai Province Based on Inter-user Dispatching
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摘要 针对青海农村地区家庭新能源系统光储容量配置优化问题,提出一种基于户间调度与用户分类的全寿命周期光储容量配置方法。首先,以用户是否包含牧民为依据建立用户分类配置模型。其次,建立了包含微网用户间能量调度策略的系统运行方式。最后,以微网年均用能成本最小和可再生能源利用率最大为目标构建优化模型,并采用改进蝴蝶优化算法进行求解。基于青海省刚察县农村地区典型日负荷数据和气象参数进行仿真,结果验证了该方法的有效性与合理性。 A life cycle photovoltaic(PV)and energy storage capacity configuration method based on inter-user dis⁃patching and user classification is proposed to solve the PV-energy storage capacity configuration optimization problem of a renewable energy system of rural households in Qinghai Province.First,a user classification configuration model is established based on whether the users includes herders.Then,a system operation mode including the inter-user energy dispatching strategy is established.Finally,an optimization model is constructed with the objective of minimizing the av⁃erage annual energy consumption cost of microgrid and maximizing the renewable energy utilization rate,and the im⁃proved butterfly optimization algorithm is used to solve the problem.Simulations are performed based on typical daily load data and meteorological parameters in rural areas in Gangcha County,Qinghai Province,and results verify the va⁃lidity and rationality of the proposed method.
作者 赵安军 李旺 于军琪 查波 王鹏柱 焦阳 ZHAO Anjun;LI Wang;YU Junqi;ZHA Bo;WANG Pengzhu;JIAO Yang(School of Building Service Science and Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China;China Northwest Architecture Design and Research Institute Co.,Ltd,Xi’an 710018,China;School of Information and Control Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China)
出处 《电力系统及其自动化学报》 CSCD 北大核心 2023年第7期45-56,共12页 Proceedings of the CSU-EPSA
基金 国家自然科学基金资助重点项目(62192750)。
关键词 新能源系统 容量配置 青海农村家庭 户间调度 用户分类 改进蝴蝶优化算法 renewable energy system capacity configuration Qinghai rural household inter-user dispatching user classification improved butterfly optimization algorithm
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  • 1陈海生,李泓,徐玉杰,徐德厚,王亮,周学志,陈满,胡东旭,阎景旺,李先锋,胡勇胜,安仲勋,刘语,肖立业,蒋凯,钟国彬,王青松,李臻,戴兴建,张宇鑫,俞振华,宋振,彭煜民,马一鸣,郭欢,王星,周鑫,胡傲伟,张弛,相佳媛,张浩,刘为,岳芬,张长昆,谢飞,夏恒恒,杨重阳,邱清泉,艾巍,李浩秒,刘轩,梅文昕,李煌.2023年中国储能技术研究进展[J].储能科学与技术,2024,13(5):1359-1397.

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