基于鲁棒优化的含风电工业微电网经济调度模型

风电是广泛使用的清洁可再生新能源,将风电引入工业微电网中,对其节能减排有着重要意义。以含风电的工业微电网为研究对象,基于鲁棒优化方法,以发用电成本最低为目标,以生产计划与火电机组出力计划为决策量,建立了含风电工业微电网自发电经济调度双层模型,并利用Benders分解算法对其进行求解。文中还应用某工业微电网数值算例进行测试,结果表明模型能有效平抑负荷波动,降低微电网发用电成本；验证了该鲁棒优化模型在最差情况下优于确定性模型,并且可根据需求改变不确定代价权衡保守性与最优性。

An Economic Dispatch Model in an Industrial Microgrid with Wind Power Based on Robust Optimization

Wind power is a kind of new, clean, renewable and widely used energy. Utilizing wind power in an industrial microgrid is of great significance in energy conservation and emission reduction. This paper researches on an industrial microgrid with wind power, establishes a multi-stage model with self-generation scheduling optimation for an industrial microgrid, which aims at minimizing the energy costs through adjusting the production and power generation schedule properly based on robust optimization, and then utilizes Benders decomposition algorithm to solve the model. Numerical tests on the model are given with data of an industrial microgrid, and it is confirmed that the fluctuation of wind power and load is smoothed by the model effectively and the electric energy costs are decreased. Additionally, the model is proved to perform better than the deterministic optimal model under the worst condition, and the balance of conservatism and optimality can be adjusted by different uncertainty prices according to the requirement. This work is supported by National Natural Science Foundation of China (No. 61221063, No. U1301254, No. 61174146, No. 61304212, No. 61473218) and National High Technology Research and Development Program of China (863 Program) (No. 2012AA011003).