摘要
随着风电等可再生能源装机比例不断增大,电网对调峰辅助服务的需求日益增加。目前中国六大发电区域在调峰辅助服务的补偿上存在对火电机组深度调峰的补偿标准单一,以及调峰能力较弱的中小型机组难以得到补偿的问题。现行调峰辅助服务补偿机制中的不公平因素造成了大量火电机组缺乏调峰的积极性。文中基于火电机组容量和最高调峰率指标,采用K均值聚类分析对机组进行了分类,提出对于不同类别的机组应采取不同的有偿调峰与无偿调峰划分界限;进一步提出一种考虑机组调峰能力实现程度的调峰辅助服务补偿模型,旨在激励更多的机组在电网负荷低谷期参与调峰辅助服务,在增加电网稳定性的同时为更多的风电并网创造条件。通过对东北电网统一调度的63台机组的算例分析,证明了改进后模型对激励更多火电机组参与调峰辅助服务的有效性。
With the increasing penetration level of wind power and other renewable energy resources, the demands for peak- regulating ancillary services are rising rapidly. Currently, some problems about the peak-regulating auxiliary services exist in six major power grid regions such as the single standard of compensation for deep peak-regulating of the thermal power units, small and medium capacity units with weaker peak-regulating capacity can barely obtain compensation. The unfairness during the existing peak-regulating auxiliary service compensation mechanisms leads to the consequence that a large number of thermal power units lack the incentives of providing peak-regulating auxiliary services. K-means cluster analysis is used to classify the units based on the unit capacity and the highest peaking rate indicators, and then the boundary line between basic peak- regulating .and deep peak-regulating across various units is identified. Moreover, a new auxiliary service compensation model is put forward to encourage more units providing peak-regulating auxiliary services during low-load period, thus increasing stability of the electricity grid as well as promoting more wind power integration into the grid. The case studies of 63 units dispatched by the Northeast Power Grid are given to verify the effectiveness of the improved model on encouraging more thermal power units to participate in the provision of peak-regulating auxiliary services.
出处
《电力系统自动化》
EI
CSCD
北大核心
2013年第4期57-61,共5页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(71073053)
美国能源基金会资助项目(G-1106-14305)~~
关键词
调峰辅助服务
补偿机制
火电机组
K均值聚类
peak-regulating ancillary services
compensation mechanism
thermal power units
K-means clustering
