计及适应性与经济性的多目标输电系统结构优化方法研究

Structural optimization method of multi-objective transmission system considering adaptability and economy

为了改善风电并网比例提高后适应性指标恶化的现象,提高电网对高比例风电的适应能力,并协调系统运行策略的经济性,建立了考虑适应性与经济性的多目标输电网结构优化模型。采用聚类算法构建多场景的方式处理源—荷波动产生的海量数据,并通过基于粒子群算法的带权极小模理想点法对多目标模型进行求解。在分析高比例风电并网特征的基础上,提出了包含消纳、经济、波动、故障在内的适应性指标。算例结果表明,该多目标输电网结构优化方法提高了原系统对高比例风电接入的适应性。

In order to improve the deterioration of the adaptability index after the increase of the proportion of wind power integration,improve the adaptability of the power grid to high proportion of wind power,and coordinate the economics of the system operation strategy,a multi-objective transmission network structure optimization model considering adaptability and economy is established in this paper.The clustering algorithm is used to construct multi-scene method to process the massive data generated by source-load fluctuation,and the multi-objective model is solved by the weighted minimum modulus ideal point method based on particle swarm optimization.Based on the analysis of the characteristics of high-scale wind power grid-connection,the adaptive index including consumption,economy,fluctuation and fault is proposed.The example results show that the multi-objective transmission network structure optimization method improves the adaptability of the original system to high proportion of wind power access.