| 引用本文: | 徐玉琴,刘杨,谢庆.基于全寿命周期成本的配电网无功规划研究[J].电力系统保护与控制,2018,46(11):30-36.[点击复制] |
| XU Yuqin,LIU Yang,XIE Qing.Research on reactive power planning of distribution network based on life cycle cost[J].Power System Protection and Control,2018,46(11):30-36[点击复制] |
|
| 摘要: |
| 在保证电能质量的基础上，评价一个无功优化补偿方案应该以项目寿命周期内的投资净收益为指标，即一个无功补偿方案不仅需要考虑损耗降低所带来的收益，还要考虑由于无功补偿设备寿命周期内建设、运行维护直至报废等成本的增加。综合系统有功网损最小、电压质量最好建立配电网无功优化模型，利用无功二次电阻矩确定无功补偿点，根据改进的遗传算法确定无功补偿的容量，通过引入全寿命周期成本(Life Cycle Cost, LCC)的概念，对于不同的补偿方案进行计及全寿命周期成本的计算，以寿命周期内投资净收益为判断依据选定补偿方案。在Matlab上以IEEE33节点配电系统为例进行仿真计算，结果表明，采用计及全寿命周期成本的无功优化在实际中更具有合理性和有效性。 |
| 关键词: 无功优化 投资净收益 无功二次电阻矩 改进遗传算法 全寿命周期成本 |
| DOI：10.7667/PSPC170718 |
| 投稿时间：2017-05-12修订日期：2017-11-28 |
| 基金项目:国家自然科学基金资助项目(51307060);新能源电力系统国家重点实验室开放基金项目(LAPS14011) |
|
| Research on reactive power planning of distribution network based on life cycle cost |
| XU Yuqin,LIU Yang,XIE Qing |
| (North China Electric Power University, Baoding 071003, China) |
| Abstract: |
| Based on ensuring power quality, the evaluation of a scheme about reactive power optimization compensation should be focused on net investment income in the life cycle of a project, in other words, a scheme about reactive power compensation should consider not only the benefits brought by loss reduction, but also the increased cost of construction, operation and maintenance in life cycle of the reactive power compensation equipment. In this paper, the reactive power optimization model of distribution network is established with the minimum active network loss and the best voltage quality, the reactive power compensation point is determined depending on reactive secondary resistance moment, and the capacity of reactive power compensation is decided by using the improved genetic algorithm. By introducing the concept of Life Cycle Cost (LCC), the calculation of life cycle cost for different compensation schemes is carried out to select compensation scheme according to the net income during the life cycle. The IEEE33 node distribution system is taken as an example to simulate the calculation in Matlab. The results show that the reactive power optimization considering the life cycle cost is more reasonable and effective. This work is supported by National Natural Science Foundation of China (No. 51307060) and State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (No. LAPS14011). |
| Key words: reactive power optimization net investment income reactive secondary resistance moment improved genetic algorithm life cycle cost |
