中国电机工程学报Issue(34)：6074-6082,9.DOI:10.13334/j.0258-8013.pcsee.2014.34.008
风电水电协同运行计划的优化
Optimal Scheduling for Coordinated Wind and Hydro Power Generation
陈麒宇 1Tim Littler 1王海风 2姜文玲 3季晓东4
作者信息
- 1. 贝尔法斯特女王大学电子电气与计算机科学学院，英国 贝尔法斯特 BT9 5AH
- 2. 华北电力大学电气与电子工程学院，北京市 昌平区 102206
- 3. 中国电力科学研究院，北京市 海淀区 100192
- 4. 东北电力设计院，吉林省 长春市 130021
- 折叠
摘要
Abstract
With increasing penetration of large wind farms, significant stochastic power variation may have an impact on the power balance between load demand and generation, particularly during peak and valley extreme load periods, therefore, the curtailment of wind generation occurs frequently. To ensure balanced generation provision optimal dispatch is required, particularly in a diverse generation mix. A high level of connected wind penetration can result in broad generation variability, thus to ensure reliable and robust generation provision, having access to large-scale reserve is essential. One viable choice is hydroelectric generation, which, when integrated alongside substantial wind sources, can be used in a coordinated hydro and wind power generation (CHWG) strategy, as proposed in this paper. In this strategy, a phasor measurement unit (PMU) was used to connect a wind farm and a hydropower plant. The hydro generator was used to compensate fluctuations in wind provision and hence balance the total output. The CHWG strategy can therefore take part in generation scheduling. The paper proposed an optimal dispatch model for CHWG which includes a wind forecasting confidence interval and electricity tariff. The boundary constraint and inertia coefficient of a particle swarm optimization algorithm were adopted and used to solve the optimal dispatch model. The model was applied to a wind farm system in North China to exemplify the proposed strategy.关键词
风电/水电/互补/优化调度/粒子群算法Key words
wind power/hydro power/complementary/optimal dispatch/particle swarm optimization (PSO)分类
信息技术与安全科学引用本文复制引用
陈麒宇,Tim Littler,王海风,姜文玲,季晓东..风电水电协同运行计划的优化[J].中国电机工程学报,2014,(34):6074-6082,9.
