风火调峰权交易促进风电再次接纳研究

系统调峰能力不足导致负荷低谷时期风电场大量弃风,成为制约风电接纳水平的主要原因之一,调峰权交易可以激励火电机组发挥调峰潜力,为风电提供消纳空间。将风电引入调峰权交易模型中,提出风电参与调峰权交易的市场模式,分析火电机组调峰权交易成本和风电场调峰权交易效益,建立以社会效益最大和风电再次接纳量最大为多目标的调峰权交易模型,并采用多目标粒子群优化算法对模型进行求解。IEEE 14节点测试系统的仿真结果验证了所提模型的有效性。

Peak regulation right trading between wind farm and thermal unit for second accommodation of wind power

The lack of system peak regulation capacity causes large-scale wind power curtailment at the load valley, which becomes one of the main reasons for limiting wind acceptance level. The peak regulation right trading can motivate the peak regulation potential of thermal units, which increases the second accommodation of wind power. The wind power is introduced into the peak regulation right trading model and the market mode of wind power participating in peak regulation right trading is proposed. The benefits of wind farms and costs of thermal units in the peak regulation right trading are analyzed, and a peak regulation right trading model is established, which takes maximum social benefit and maximum second acceptance capacity of wind power as its multi-objectives, and solved by MOPSO(Multi-Objective Particle Swarm Optimization)algorithm. Simulative results of IEEE 14-bus test system verify the effectiveness of the proposed model.