Fuzzy comprehensive evaluation method for peak shaving capability of coal-fired power units

GU Yujiong; XU Jing; LI Qianqian; LI Hongfei; CHEN Dongchao

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Fuzzy comprehensive evaluation method for peak shaving capability of coal-fired power units

更新时间：2025-09-28

- Fuzzy comprehensive evaluation method for peak shaving capability of coal-fired power units
- Thermal Power Generation Vol. 46, Issue 2, Pages: 15-21(2017)
- 作者机构：
  
  华北电力大学国家火力发电工程技术研究中心
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621
- Published：2017
- 稿件说明：
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GU Yujiong, XU Jing, LI Qianqian, et al. Fuzzy comprehensive evaluation method for peak shaving capability of coal-fired power units[J]. Thermal power generation, 2017, 46(2): 15-21.
DOI：

GU Yujiong, XU Jing, LI Qianqian, et al. Fuzzy comprehensive evaluation method for peak shaving capability of coal-fired power units[J]. Thermal power generation, 2017, 46(2): 15-21. DOI：

摘要

为保证火电机组在调峰期间处于低负荷运行时设备的安全、经济及环保性

结合机组的实际可操作性

建立了一套评价机组调峰能力的指标体系。采用层次分析法确定各指标权重

结合模糊综合评判法对机组调峰能力进行评价;选取7台不同容量及不同冷却形式的煤电机组

基于K均值算法聚类

求取各指标值并进行综合评价

根据评价结果进行纵向比较。结果表明:超超临界660、1 000 MW等级机组应在中、高以上负荷参与电网变负荷调峰任务

以更好发挥其能耗水平低的特性;超临界600MW等级机组变负荷调节性能良好

可在中、高负荷承担变负荷调峰任务

也可适度参与降负荷深度调峰;亚临界600、300 MW等级机组装机数量最多

容量占比最大

可适时参与电网深度调峰;同时在峰谷差矛盾突出的地区或时段

安排亚临界机组参与轮停调峰。

Abstract

The capacity of renewable energy power generation has been soaring with the development of global energy internet

which results in the growing of the difference between the maximum and minimum power requirements from a power grid.To solve this problem

coal-fired power plants have to undertake more peak shaving task which means they will stay in low-load operation state for a long period of time.A set of index system for evaluating the capability of coal-fired power units in low-load operation was established

considering its feasibility.By fuzzy comprehensive evaluation(FCE)method

the indexes of safety

energy-consumption and environment protection were evaluated

and the weight of each index obtained by the analytic hierarchy process(AHP)was ascertained.Moreover

seven different types of coal-fired power units were selected as the examples to carry out comprehensive evaluation for the value of indexes

on the basis of the K-means K-means clustering algorithm.According to the evaluation results

several suggestions for the optimization of different level units and the dispatching of the power gird were proposed.

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