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Energy stations and pipe network collaborative planning of integrated energy system based on load complementary characteristics
Sustainable Energy Grids & Networks ( IF 5.4 ) Pub Date : 2020-07-09 , DOI: 10.1016/j.segan.2020.100374
Xiaoou Liu

In view of the lack of effective energy station site optimization method in the existing integrated energy system (IES) planning, and the failure to consider the load characteristics in the division process of the energy supply area of energy stations, a collaborative planning method of energy stations and pipe networks considering the complementary load characteristics is proposed. Firstly, based on the analysis of the interaction between the station and network planning of IES, an alternated optimal method framework of energy station site, energy supply area division and pipe network layout are proposed. Secondly, based on the energy supply radius of the energy station, this paper proposes a method to determine the number of new energy stations, and based on the topological characteristics of the cellular networks, a method of determining the initial energy station site is proposed. Thirdly, considering the complementary load characteristics, the evaluation index and division method of energy supply area of integrated energy station are proposed. Fourthly, aiming at the problem of pipe network layout on the road, a pipe network optimization method based on Kruskal algorithm is proposed, and optimizes the direction of load access to the pipe network by the linear optimization model. Fifthly, the calculation method of equivalent energy distance of load and the optimization method of energy station site based on equivalent energy distance are proposed. Finally, the rationality and effectiveness of this method are verified by an example.



中文翻译:

基于负荷互补特征的能源站与管网联合能源系统协同规划

鉴于现有的综合能源系统(IES)规划中缺乏有效的能源站选址方法,并且在能源站能源供应区域的划分过程中未考虑负荷特征,因此采用了一种能源协同计划方法提出了考虑互补负荷特性的电站和管网。首先,在分析IES与电站规划之间的相互作用的基础上,提出了能源站选址,供能区划和管网布置的交替最优方法框架。其次,基于能量站的能量供应半径,本文提出了一种确定新能量站数量的方法,并基于蜂窝网络的拓扑特性,提出了确定初始能量站位置的方法。第三,考虑互补负荷特性,提出了综合能源站能源供应区域的评价指标和划分方法。第四,针对道路上的管网布置问题,提出了一种基于Kruskal算法的管网优化方法,并通过线性优化模型对管网的负荷接入方向进行了优化。第五,提出了负荷等效能量距离的计算方法和基于等效能量距离的电站站点优化方法。最后通过实例验证了该方法的合理性和有效性。提出了综合能源站能源供应区域的评价指标和划分方法。第四,针对道路上的管网布置问题,提出了一种基于Kruskal算法的管网优化方法,并通过线性优化模型对管网的负荷接入方向进行了优化。第五,提出了负荷等效能量距离的计算方法和基于等效能量距离的电站站点优化方法。最后通过实例验证了该方法的合理性和有效性。提出了综合能源站能源供应区域的评价指标和划分方法。第四,针对道路上的管网布置问题,提出了一种基于Kruskal算法的管网优化方法,并通过线性优化模型对管网的负荷接入方向进行了优化。第五,提出了负荷等效能量距离的计算方法和基于等效能量距离的电站站点优化方法。最后通过实例验证了该方法的合理性和有效性。并通过线性优化模型优化了对管道网络的负载访问方向。第五,提出了负荷等效能量距离的计算方法和基于等效能量距离的电站站点优化方法。最后通过实例验证了该方法的合理性和有效性。并通过线性优化模型优化了对管道网络的负载访问方向。第五,提出了负荷等效能量距离的计算方法和基于等效能量距离的电站站点优化方法。最后通过实例验证了该方法的合理性和有效性。

更新日期:2020-07-13
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