Load modelling in distributed generation planning
Load modelling in distributed generation planning
复制标题
分布式发电规划中的负荷建模
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Y. Yuan
中科院分区：
文献类型：
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作者：
K. Qian;C. Zhou;M. Allan;Y. Yuan
提高分布式电源(DG)在配电系统中的普及程度是传统电力系统面临的新挑战。虽然人们普遍认为分布式电源具有降低电力系统电能损耗的潜力，但不适当的建模可能会导致分布式电源规划中对降低网损的误导预测。本文研究了负荷模型对电能损耗计算的影响。在简要介绍后，提出了分布式电源规划中负荷的详细建模方法。负荷分为三类：住宅负荷、工业负荷和商业负荷，而不是传统的恒定PQ。利用本文提出的方法，对不同负荷模型和负荷水平下的有功网损和无功网损进行了比较研究。此外，还开发了一个长期预测模型，以预测英国2020年住宅、商业和工业领域的未来客户需求，允许考虑各种因素和方面，如历史负荷需求、天气数据、经济增长和人口信息。以一个电力系统为例，分析了不同分布式发电方案和不同负荷水平下的系统性能。仿真结果表明，负荷模型对分布式电源规划中的网损计算有重要影响。
Increasing the penetration level of Distributed Generation (DG) into the distribution system is a new challenge for traditional electric power systems. Although it is generally recognised that DG has the potential of reducing energy losses in power systems, inappropriate modelling can lead to a misleading predictions for power loss reduction in DG planning. This paper presents an investigation into the impact of load models on the calculation of energy loss. Following a brief introduction the paper proposes detailed modelling of load in DG planning. Load is divided into three categories: residential, industrial and commercial rather than characterised as the traditional constant PQ. A comparative study of real and reactive power losses for various load models and load levels is carried out using the methodology proposed in this paper. In addition, a long term forecasting model is developed to forecast the future customer demand for residential, commercial and industrial sectors in 2020 for the UK, allowing consideration of various factors and aspects, such as, historical load demand, weather data, economic growth and demographic information. A sample power system is adopted to analyse the system performance under various DG scenarios and at various load levels. Simulation results indicate that load models can significantly affect the load losses calculation in DG planning.