检索结果-内蒙古大学图书馆

multi-Water Source Joint scheduling model Using a Refined Water Supply Network: Case Study of Tianjin

WATER 2018年第11期10卷 1580页

作者： Zhang, Shanghong Yang, Jiasheng Wan, Zhongyu Yi, Yujun North China Elect Power Univ Renewable Energy Sch Beijing 102206 Peoples R China Beijing Normal Univ Sch Environm Beijing 100875 Peoples R China

Water shortage problems are increasing in many water-deficient areas. Most of the current research on multi-source combined water supplies depends on an overall generalization of regional water supply systems, which are seldom broken down into the detail required to address specific research objectives. This paper proposes the concept of a water treatment and distribution station (water station), and generalizes the water supply system into three modules: water supply source, water station, and water user. Based on a topological diagram of the water network (supply source-station-user), a refined water resource allocation model was established. The model results can display, in detail, the water supply source, water supply quantity, water distribution engineering, and other information of all users in each water distribution area. This makes it possible to carry out a detailed analysis of the supply and demand of users, and to provide suggestions and theoretical guidance for regional water distribution implementation. Tianjin's water resource allocation was selected as a case study, and a water resource allocation scheme for a multi-source, combined water supply, was simulated and discussed.

关键词： multi-source combined water supply multi-objective optimal scheduling model refined water supply network Tianjin

来源：评论

学校读者我要写书评

暂无评论

multi-objective optimization of integrated gas-electricity energy system based on improved multi-object cuckoo algorithm

引用

ENERGY SCIENCE & ENGINEERING 2021年第10期9卷 1839-1857页

作者： Yang, Bowen North China Elect Power Univ Sch Elect & Elect Engn Beijing 102206 Peoples R China

With the depletion of sources of primary energy across the world, the prospect of a global energy crisis in the near future has raised considerable concern. Among the many sources of clean energy, wind energy is considered to be the most effective means of sustainable and environmentally friendly energy. Traditional systems of energy based on oil and natural gas still operate in a discrete manner, and the promise offered by the mutual coordination between energy systems to draw complementary benefits has not yet been fully exploited. This has prompted all energy sectors to examine the optimal integration of interconnected gas-electricity energy systems. In this context, this study proposes a multi-objective collaborative operational optimization model of P2G for an interconnected, integrated gas-electricity energy system in case of uncertain wind power. Based on the effect of carbon capture by using P2G, the effect of coupling gas and electricity, and the cost of low-capacity reserves, the authors use conditional risk values to design four targets of optimization-the operating cost of the system, rate of consumption of the natural gas system, total carbon emissions and capacity stand-by cost-according to the power system, natural gas system, thermal energy system, and their elements of coupling from multiple perspectives to clarify the constraints on the model. Moreover, to reduce the likelihood of the optimal solution falling into the local optimum, the improved cuckoo algorithm is used to optimize the multi-objective scheduling model. The authors used a 10-node power system and a six-node natural gas system as examples for simulation to verify the proposed model. The results of empirical analysis show the following: (a) Once the P2G equipment had been connected, it reduced the total operating cost and improved the consumption of wind power of the natural gas system regardless of whether backup services were provided. (b) The P2G equipment could be combined with ga

关键词： conditional risk value cuckoo algorithm integrated gas-electricity energy system multi-objective optimal scheduling model

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：