电力系统自动化2017，Vol.41Issue(11)：68-76,9.
基于动态场景集和需求响应的二阶段随机规划调度模型
Two-stage Stochastic Programming Scheduling Model Based on Dynamic Scenario Sets and Demand Response
仉梦林 1胡志坚 1王小飞 1胡梦月 1胡美玉 1张子泳2
作者信息
- 1. 武汉大学电气工程学院,湖北省武汉市 430072
- 2. 广东电网有限责任公司电力调度控制中心,广东省广州市 510600
- 折叠
摘要
Abstract
As the input of stochastic programming scheduling, wind power and load scenarios have great influence on the decision results.In order to make the scenario set reflect the characteristics of wind power and load, a dynamic scenario method is adopted which considers the correlation of random variables to generate wind power, load and net load scenario sets.And the corresponding index for evaluating the quality of scenarios is presented for the purpose of being in line with scheduling.A scheduling model based on the two-stage stochastic programming of here-and-now and wait-and-see (HN-WS) is established, which contains the relevance between the day-ahead and real-time scheduling, and the realization of the real-time scenario is integrated into the decision process, the optimization goal covers the fuel cost during the day-ahead stage and the expected cost of balance correction during the real-time stage.In addition, in order to reduce wind power curtailment, the incentive-based demand response is introduced into the model, which is cooperatively optimized with the reserve capacity of thermal units.Finally, the effectiveness of the proposed scheduling model is verified by adopting the wind power data of the EirGrid, the load data of the Elia power grid and the revised IEEE 118-node system.关键词
风力发电/动态场景法/激励型需求响应/二阶段随机规划Key words
wind power generation/dynamic scenario method/incentive-based demand response/two-stage stochastic programming引用本文复制引用
仉梦林,胡志坚,王小飞,胡梦月,胡美玉,张子泳..基于动态场景集和需求响应的二阶段随机规划调度模型[J].电力系统自动化,2017,41(11):68-76,9.
