考虑柔性负荷响应的含风电场电力系统多目标经济调度

Multi-objective Economic Dispatch of Power System with Wind Farms Considering Flexible Load Response

根据模糊随机理论对风电场功率预测误差和负荷预测误差进行模糊处理,并建立旋转备用模糊机会条件,将其转化为清晰等价类。在碳交易机制下考虑柔性负荷响应对电力系统经济调度的影响,在目标函数中引入柔性负荷响应的非线性成本和碳排放补偿成本,建立了碳交易收益最大和综合发电成本最低的多目标模型,并增加了柔性负荷约束条件。采用离散细菌群体趋药性算法对模型进行处理,以基于偏小型满意度的折中策略求解多目标函数最优解,并通过4种调度模型的对比验证了该模型的可行性。

The uncertainty of wind farm power and load has a certain impact on the economic dispatch of power system. This paper deals with the forecasting errors of wind farm power and load based on the fuzzy stochastic theory. The fuzzy chance condition for spinning reserve has been established and transformed into a clear equivalence class. In the carbon trading mechanism, considering the effect of flexible load response on the power system economic dispatch, the nonlinear cost and carbon emission compensation cost of flexible load response are introduced to the objective function. A multi objective model with the largest carbon trading revenue and the lowest integrated power generation cost has been developed. Meanwhile the flexible load constraint is added in the model. The discrete bacterial colony chemotaxis algorithm is used to deal with the model, and the optimal solution of the model has been obtained by the compromise strategy based on partial small satisfaction. Finally, the feasibility of the proposed model is verified through the comparison between four scheduling models.