大规模光伏电站接入电网可调节鲁棒优化调度

Adjustable Robust Optimal Dispatch of Power System With Large-scale Photovoltaic Power Stations

随着光伏电站接入电网的比例不断提高,光伏电站出力的随机性和波动性给电力系统优化调度带来较大影响。为保证优化调度的可靠性,提出将盒式集合鲁棒优化理论引入到含大规模光伏电站的电力系统优化调度中。同时为了协调系统调度中可靠性与经济性之间的矛盾,提出引入不确定性预算的概念以实现不确定区间可调节鲁棒优化,弥补盒式集合鲁棒优化偏于保守的不足,构建可靠性与经济性相协调的含光伏电站的电力系统不确定区间可调节鲁棒优化调度模型。并根据所构建的优化调度模型推导出一个不确定性预算决策方法,从而降低不确定性预算决策的盲目性。最后采用微分进化算法对提出的动态优化调度问题进行求解,并用算例进行测试,结果验证所构模型的可行性和合理性。

With the increase of penetration of photovoltaic power, the randomness and volatility of photovoltaic power output would have a greater impact on power system optimization scheduling. To ensure the reliability of optimal scheduling, this paper applied box set robust optimization theory into power system optimization scheduling. To coordinate the contradiction between the reliability and economy of system scheduling, the concept of uncertainty budget was applied to achieve robust optimization in adjustable uncertain intervals, and to make up for the conservation deficiencies which box set robust optimization method has. The robust optimization model in adjustable uncertain intervals was established for power ~ystem to achieve coordination between reliability and economy. Based on the constructed optimization model, this paper derived an uncertainty budget decision- making method, which can effectively reduce the blindness in the uncertainty budgetary decision-making. Finally, differential evolution algorithm was employed to solve the dynamic optimization dispatch problems. The feasibility and rationality of the constituted model is verified by a testing example.