基于最大供电能力的配电网负荷消纳规划方法

发布时间：2018-04-29 19:47

本文选题：最大供电能力 + 负荷消纳　；参考：《天津大学》2014年硕士论文

【摘要】：传统规划方法根据负荷增长首先考虑变电站新建增容再规划线路网络,非常适用负荷快速增长的情况。目前我国很多城市负荷增长逐步放缓,需要发展新的规划方法。在此背景下,本文提出负荷消纳的规划新理念。该方法优先挖掘已有网络供电潜力消纳新增负荷,把新建扩建变电站和线路放到其次。最大供电能力(TSC)理论在挖掘配电网供电潜力方面有很强的优势,本文提出了一种基于TSC的配电网负荷消纳规划方法。首先,提出了基于TSC的负荷消纳。通过TSC理论与传统配电网基于容载比规划方法的对比,提出TSC理论更能挖掘已有配电网的供电潜力。在按照经济成本归纳了配电网常见3大类10种规划措施后,本文提出了基于TSC的负荷消纳流程:1)收集原始数据;2)分析供电盲区;3)计算TSC;4)TSC总量校验与调整;5)TSC分布校验与调整;6)N-1验证。该方法能够从整个配电网角度分析评估,为更精细地负荷消纳提供了指导方向。然后,对于基于TSC负荷消纳中的关键问题—TSC分布校验与调整,本文首先提出了负荷的初步消纳—馈线分配模型。该模型在实现均衡地消纳网络中所有负荷时,考虑了馈线、主变的N-1安全性和负荷分配平衡。该模型在改进的IEEE-bus4配电网和中国某城市实际配电网两个算例中得到了验证,负荷初步消纳的结果包括新增负荷接入到相应馈线进行供电和馈线之间的负荷转移。其中,馈线间负荷转移由于网络中分段或联络开关的限制,尚不能在实际操作中实现。最后,为解决馈线间负荷转移的问题,本文提出了负荷的精确消纳—开关重构再分配模型。该模型以馈线间负荷转移结果为指导,确定了可能需要调整开闭状态的开关集合,以N-1安全原则作为约束,以开关状态作为决策变量,通过遗传算法进行了网络重构。该模型对改进的IEEE-bus4配电网和中国某城市实际配电网进行了重构,重构结果实现了负荷在馈线间的负荷转移,从而形成了完整的、实际可操作的基于最大供电能力的配电网负荷消纳方法。
[Abstract]:According to the load growth, the traditional planning method firstly considers the new line network of substation capacity increase and replanning, which is very suitable for the situation of rapid load growth. At present, the load growth of many cities in China is slowing down gradually, and new planning methods need to be developed. In this context, this paper puts forward a new concept of load absorption planning. This method preferentially excavates the existing network power supply potential to absorb the new load, and puts the new expansion substation and the line to the next place. The theory of maximum power supply capacity (TSC) has a strong advantage in excavating the power supply potential of distribution network. In this paper, a method of load absorption planning based on TSC is proposed. Firstly, the load absorption based on TSC is proposed. By comparing the TSC theory with the traditional distribution network based on load ratio planning method, it is proposed that the TSC theory can better tap the power supply potential of the existing distribution network. After summarizing 10 kinds of planning measures common to 3 categories of distribution network according to the economic cost, This paper presents a load absorption process based on TSC: 1) collecting raw data (2) analyzing the blind area of power supply. (3) calculating TSC4 TSC total quantity check and adjustment 5 TSC distribution check and adjustment 6 / N ~ (-1) verification. This method can be used to analyze and evaluate the whole distribution network and provide guidance for more precise load absorption. Then, to check and adjust the distribution of TSC based on the key problem of TSC load absorption, this paper first proposes a preliminary load rejection feeder distribution model. In order to achieve balanced absorption of all loads in the network, the feeders, the N-1 security of the main transformer and the load distribution balance are considered in the model. The model is verified by two examples of the improved IEEE-bus4 distribution network and the actual distribution network in a certain city in China. The results of the initial load absorption include the addition of the load to the corresponding feeder and the load transfer between the feeders. Among them, load transfer between feeders can not be realized in actual operation because of the limitation of segment or contact switch in the network. Finally, in order to solve the problem of load transfer between feeders, this paper presents an accurate load rescheduling model. Based on the results of load transfer between feeders, this model determines the set of switches that may need to adjust the opening and closing states, takes the security principle of N-1 as the constraint and the switching state as the decision variable, and reconstructs the network by genetic algorithm. The model reconstructs the improved IEEE-bus4 distribution network and the actual distribution network in a certain city in China. The result of the reconfiguration realizes the load transfer between the feeder lines, thus forming a complete one. A practical and operable method for load absorption of distribution network based on maximum power supply capacity.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM715

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