热电联产与风电机组联合运行鲁棒多目标优化调度模型

A Robust Multi-Objective Optimal Economic Dispatching Model with CHP and wind Power Output

提高风电消纳能力,需在电–热联合系统中加装储热设备,提高热电联产机组的调节能力,增强电力系统的灵活性,解决风电消纳问题。风电预测功率的随机性导致调度问题的不确定性,要求调度方案不仅能满足目标费用最优,而且希望目标费用受不确定性的影响在可接受范围之内。本文基于参数的敏感区域方法,建立含储热的热电联产与风电机组联合运行鲁棒多目标优化经济调度模型。模型包含极小化机组运行的煤耗成本,弃风惩罚费用两个目标,约束条件包括联合调度系统的常规约束、鲁棒约束。利用细菌群体趋药性算法和鲁棒条件检验方法求解模型。通过仿真计算,验证了所提模型和算法的鲁棒性,经济性和有效性,并通过三种模型对比说明本文模型费用最优,鲁棒性最好,风电消纳能力得到了提升。

In order to improve the wind power integration, we install the thermal storage equipment in the electric-thermal system, improving the regulation of CHP units to enhance the flexibility of the power system. The randomness of the wind power prediction leads to the uncertainty of economic dispatch. The strategy requires to not only meet the optimal cost functions, but also hope that the cost is affected by the uncertainty within the acceptable range. In this paper, we give a robust multi-objective optimal economic dispatching model with CHP and wind power system based on the parameters sensitive region method. The model includes two objectives minimizing the cost of coal consumption and the cost of wind energy curtailment. The bacterial colony chemotaxis and the robust condition testing method algorithm were used to solve our model. By simulation, the robustness, economy of the proposed model and validity of algorithm are verified. In the last comparison of three models, it shows that the RMOO model is optimal and robust,and the capacity of wind power integration is greatly improved.