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Evaluating investment strategies for distribution networks based on yardstick competition and DEA

机译:基于YARDSTICK竞争和DEA的分销网络评估投资策略

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摘要

The traditional investment for distribution networks is mainly evaluated and conducted from the static perspective. A dynamic comprehensive evaluation method is essential to obtain an efficient investment strategy. Firstly, a hierarchical evaluation index system is constructed to describe the overall performance of the distribution network, which includes six types of criteria such as information level, power supply capacity, asset utilization efficiency and economy, power supply quality and loss, power supply reliability, and sustainable development level. Each criterion is composed of input and output indicators. Then, using projection pursuit method considering subjective weight constraints, a combined weight optimization model is proposed to calculate the weight vector of each criterion. Furthermore, the data envelopment analysis (DEA) based dynamic evaluation approach is set up to compute the investment efficiency defined as ratio of output and input. The time degree theory is also introduced to realize dynamic evaluation. Via yardstick competition among multiple regions and "reward and punishment" rule, a precise investment planning strategy can be achieved while minimizing construction cost and maximizing efficiency of the resource allocation. The numerical results on a practical 10-region distribution system in four planning cycles verify the effectiveness of the proposed method.
机译:传统的分销网络投资主要评估和进行静态视角。动态综合评估方法对于获得有效的投资策略至关重要。首先,构建分层评估指标系统以描述分销网络的整体性能,包括六种类型的标准,如信息水平,电源,资产利用效率和经济性,供电质量和损失,供电可靠性,和可持续发展水平。每个标准由输入和输出指示器组成。然后,使用考虑主观权重约束的投影追踪方法,提出了组合的权重优化模型来计算每个标准的权重向量。此外,基于数据包络分析(DEA)的动态评估方法设置为将投资效率计算为输出和输入的比率。还引入了时程度理论来实现动态评估。通过衡量多个地区和“奖惩”的竞争,可以实现精确的投资规划战略,同时最大限度地减少建设成本和最大限度地提高资源分配效率。在四个规划周期中的实际10区分配系统上的数值结果验证了所提出的方法的有效性。

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