大规模光伏电站接入电网可调节鲁棒优化调度

发布时间：2018-04-24 14:48

本文选题：光伏发电 + 优化调度　；参考：《中国电机工程学报》2014年25期

【摘要】：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。
[Abstract]:With the increasing proportion of photovoltaic power stations connected to the power grid, the randomness and volatility of the photovoltaic power generation forces have a great impact on the optimal dispatching of the power system. In order to ensure the reliability of optimal scheduling, a box-set robust optimization theory is proposed for optimal dispatching of power systems with large-scale photovoltaic power plants. In order to coordinate the contradiction between reliability and economy in system scheduling, the concept of uncertain budget is introduced to realize uncertain interval adjustable robust optimization, which makes up for the conservative deficiency of box-set robust optimization. In this paper, a robust optimal scheduling model of uncertain interval for power system with photovoltaic power plants is proposed, which is compatible with reliability and economy. According to the optimal scheduling model, an uncertain budget decision making method is derived to reduce the blindness of uncertain budget decision. Finally, a differential evolutionary algorithm is used to solve the dynamic optimal scheduling problem, and an example is used to test the feasibility and rationality of the proposed model.
【作者单位】：华东交通大学电气与电子工程学院;
【基金】：国家自然科学基金项目(51167005,61165005) 江西省教育厅科技基金项目(GJJ14386) 江西省科技支撑计划项目(20142BBE50001)~~
【分类号】：TM615

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