电网技术2016，Vol.40Issue(4)：1094-1099,6.DOI:10.13335/j.1000-3673.pst.2016.04.017
含风电电力系统的多时间尺度模糊机会约束动态经济调度模型
Multi-Time Scale Fuzzy Chance Constrained Dynamic Economic Dispatch Model for Power SystemWith Wind Power
摘要
Abstract
Fuzzy uncertainty of wind power output increases difficulty of dispatching decision. This paper used fuzzy parameters to express wind power and load forecast. Based on credibility theory, traditional deterministic system constraints were transformed into fuzzy opportunity constraints. Because accuracy of wind power and load forecasting improves with shortening of forecasting time scale. Therefore, this paper set fuzzy confidence level as incremental vector to reflect change of forecast accuracy. A fuzzy chance constrained dynamic economic dispatch model with multiple fuzzy parameters in multi-time scale was established. Multi-time scale dispatching plan was divided into a day-ahead 24-hour plan, an intra-day 4-hour rolling plan, a real-time 15-minute plan and automatic generation control (AGC). Dispatching plan of each time scale was in harmonic coordination, and balanced economy and reliability. Rolling amendment of original generation plan and absorption of forecast deviation step by step according to the latest forecast information of wind power and system load were achieved. An example of an actual wind field data in Shanxi Province was calculated to verify that this model effectively reduced uncertainty impact of wind power and load forecasting and relieved adjustment pressure of dispatchers and AGC units.关键词
多时间尺度/风电消纳/滚动协调调度/可信性理论/不确定性/模糊机会约束Key words
multi-time scale/wind power absorption/rolling coordination dispatching/credibility theory/uncertainty/fuzzy chance constraint分类
信息技术与安全科学引用本文复制引用
翟俊义,任建文,周明,李整..含风电电力系统的多时间尺度模糊机会约束动态经济调度模型[J].电网技术,2016,40(4):1094-1099,6.基金项目
国家自然科学基金项目(51177043)；中央高校基本科研业务费专项资金资助(2015MS128)；河北省自然科学基金项目(F2014502081)。Project Supported by National Natural Science Foundation of China (51177043) （51177043）
The Fundamental Research Funds for the Central Universities (2015MS128) （2015MS128）
Project Supported by Natural Science Foundation of Hebei Province (F2014502081) （F2014502081）
