计及风电、光伏不确定性和相关性的潮流特性分析

随着风电、光伏等新能源大规模接入电网,地理位置相接近的风电场之间、光伏电站之间、以及风电场和光伏电站之间显现出较强的相关性.现有电力系统规划时,通常按照各个风电场、光伏电站的装机容量相加进行电网规划的校核计算,然而由于风电光伏之间存在互补性,同时达到最大出力的概率很小,因此会造成电网资源的浪费,使得经济性下降.为此,提...

Analysis on the Power Flow Characteristics Considering Uncertainty and Correlation of Wind Power and Photovoltaic Station

Along with large scale grid-connection of such new energy as wind power and photovoltaic (abbr. PV) power, strong correlation appears among new energy sources that are not far apart geographically apart. During the planning of existing power grid, usually the verifying calculation of the being proceeded power grid planning is conducted by the adding together the installed capacity of all wind farms and PV stations, however, due to the mutually complementary between wind power and PV power, there is very few probability by which the wind power and PV power simultaneously reach their maximum power output, so such a verifying calculation may lead to the waste of power grid resources and makes the economy decreased. For this reason, a probabilistic power flow analysis model considering the group output characteristic was proposed, and a method combining cumulant and Gram-Charlier series expansion was put forward to solve this model. Taking IEEE 10-macbine 39-bus system connected with wind power and PV power as the reference system, the obtained results were compared with that by Monte Carlo simulation to verify the effectiveness and accuracy of applying the proposed model and algorithm to probabilistic power flow. By means of analysis, the obtained conclusion shows that without considering the wind-PV correlation the power flow in tie-line is always larger than that with wind-PV correlation considered.