电力系统恢复中机组恢复的优化选择方法

Optimal Strategy for Units Start-up During Power System Restoration

系统研究了电力系统恢复过程中机组恢复的优化选择问题。提出了一种根据恢复过程的实际状况选择被启动机组的优化策略并给出了相应的数学模型。模型以恢复过程中机组发电量最大为全局优化目标,同时计及各种约束条件。该模型为一个典型的多约束条件的背包问题,通过采用基于数据包络分析模型的相对有效性评估的定性方法与利用回溯算法求解背包问题的定量方法相结合的方式,确定恢复过程中某一时刻最合理的被启动机组。所提方法能较好地权衡对所求解问题的快速性和正确性要求。算例结果验证了所提模型与算法的有效性。

The issue which involves how to effectively and rapidly confirm the most appropriate units to be started during power system restoration is thoroughly studied in this paper. A novel optimal strategy involving the corresponding model and approach to this problem is presented. The objective of the model is to maximize the total power generation capability （MWh） over a restoration period whilst being subjected to the specific constraints. The proposed model is a typical multi-constraint knapsack problem from the mathematical point of view. Firstly, the data envelopment analysis （DEA） method is employed to select the initial units to be started with consideration of network constraints. By solving the knapsack problem constructed by the objective function and some specified constraints, the units to be started can be determined finally. The proposed method, to some extent, can make the trade off between the simulation accuracy and the computing efforts better. Case studies demonstrate the effectiveness and validity of the proposed model and method.