为了掌握无协调控制下分布式光伏电源接入配电网的容量区域。文中建立了负荷功率和分布式光伏电源容量在任意分布条件下馈线上所引起的电压偏差与电压波动的数学模型。在此基础上，以分布式光伏电源接入配电网引起的最大电压上偏差值与最大电压波动值不越限以及无分布式光伏电源接入配电网时单纯由负载引起的最大电压下偏差值不越限为约束条件。 对6种典型负荷功率分布和6种典型分布式光伏电源容量分布构成的36种场景下的电压偏差和电压波动进行了分析。对负荷功率与分布式光伏电源容量分布规律接近的6种场景进行了最值分析，得到接近分布下6种场景的可接入容量区域。对负荷功率和分布式光伏电源容量分布规律不接近的30种场景，由于负荷末端集中接入而分布式光伏结合负荷在末端集中接入的情况很少存在，故在分析过程中略去这5种场景，得到了其余25种场景下能够满足电压质量要求的分布式光伏电源的可接入容量区域，因分析中运用了不等式关系对其进行简化处理，得出的结果较实际情况更严格些。 通过分析计算10kV城市配电网和农村配电网的典型参数下分布式光伏电源的可接入容量区域。并对所提出方法行了分析和说明，研究结果表明所提出的方法是可行的，并且能够有效得出允许接入的分布式光伏电源容量区域。只要分布式光伏电源接入配电网的容量落在对应场景的容量区域内，则负荷功率和分布式光伏电源容量按相应的分布组合接入，配电网馈线上都不至于产生不可接受的电压偏差和电压波动，为分布式光伏电源接入和规划提供科学理论支持。

In order to obtain the access capacity constraints of distributed photovoltaic power generation under un-coordinated control conditions. In this thesis, the mathematical models of voltage deviation and voltage fluctuation caused by various distribution of loads and photovoltaic power generations are established. There are three constraints included in the models: (a) the maximum upper voltage deviation caused by accessing distributed photovoltaic power generations, (b) the maximum voltage fluctuation caused by accessing distributed photovoltaic power generations, and (c) the maximum lower voltage deviation caused by the loads, when no photovoltaic power generation accessed. This thesis attempts to analyze the voltage deviation and fluctuation under thirty-six settings consist of six typical load distribution patterns and six typical distributed photovoltaic power generation distribution patterns. There are three stages involved in the research processes. First, the extremum about the six settings included parallel load distribution and photovoltaic power generation distribution is evaluated. In this stage, the constraints about access capacity of distributed photovoltaic power generation are developed. Second, the five settings of that the loads concentrate in the end of the feeder while the photovoltaic power does not follow are not discussed in this stage, because those situations rarely exist in practice. Third, the range of access capacity of distributed photovoltaic power generation in the other twenty-five settings is determined. Due to inequality is utilized in the process of simplification in this stage, the calculating results would be stricter than the practical ones. The 10kV distribution networks of rural and urban areas with typical parameters are used as the example for calculating the access capacity of distributed photovoltaic power generation. Besides of this, the instruction and analysis about the methodology is able to prove that the method of this thesis could provide the range of access capacity of distributed photovoltaic power generation accurately. The voltage deviation and fluctuation in the feeders of distribution networks could be acceptable, as long as the capacity of accessed distributed photovoltaic power does not exceed the range of the ones in corresponding settings. Finally, the conclusion of this thesis could provide scientific support for distributed photovoltaic power generation accessing to the grid and distribution network planning.