考虑旋转备用约束的含风电场电力系统优化调度模型

The power system with wind power generation scheduling optimization model considering of spinning reserve constraints

文章建立电场电力系统优化调度模型,该模型考虑了风电功率预测误差的情况下,系统旋转备用容量满足负荷及风电波动的需求。模型中涉及火电机组、风电场的发电成本以及火电机组环境污染惩罚费用,并提出基于时变加速度的随机黑洞粒子群算法对模型进行求解,时变加速度增强了算法早期全局搜索能力,并保证迭代后期收敛到全局最优,同时黑洞原理避免了算法收敛早熟,陷入局部最优解。最后对含一个风电场的10机系统算例建模仿真,从而验证模型以及算法的合理性和有效性。

Establish power system optimal dispatch model containing wind farms considering the pre- diction errors of wind power. This model maintain the system spinning reserve capacity to meet the de- mand of the load and wind power fluctuation. Take the generations costs of wind farms and thermal units and the punishment cost of environmental pollution into consideration. And this paper proposes a new PSO based on random black hole and time-varying acceleration to solve the model. The time-varying acceleration enhances global search capability and converge to global optimum at last, while the ran- dom black hole principle avoid the algorithm converge to a local optimal solution. At last an example of 10 thermal units system with a wind farm verifies the rationality and effectiveness of the model and algo- tithm.