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基于多场景技术的有源配电网可靠性评估 被引量:76

An Active Distribution System Reliability Evaluation Method Based on Multiple Scenarios Technique
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摘要 集成了风电等分布式电源和储能系统的配电网称为有源配电网。为了提高考虑风电随机性的有源配电网可靠性评估的计算效率,同时最大程度地拟合风电出力的随机性特点,建立了基于拉丁超立方抽样和场景削减技术的风电可靠性评估模型,并提出一种系统化的有源配电网可靠性评估方法。对于有源配电网,主网发生故障后,配电网的部分可以形成微电网孤网运行。当处于微电网运行状态时,考虑在每一种风电功率场景下,微电网内负荷和发电是否均衡,并在发电不足时执行切负荷策略,得到了微电网内负荷点被切除的概率,然后基于孤岛形成概率,运用全概率公式得到了配电网负荷点的可靠性指标和系统的可靠性指标,并在改进的IEEE RBTS算例系统上进行仿真。该算法能够综合考虑风电可靠性模型的计算效率和准确性2个方面,算例结果表明,风机加入配电网能够有效提高相应微电网的可靠性水平。 Active distribution system refers to the distribution grid integrated with distributed generations (DGs) and energy storage devices. In order to improve active distribution system reliability evaluation efficiency with good approximation of wind power variation, a model based on Latin hyl?ercube sampling and scenario reduction techniques was proposed and a generalized systematic reliability evaluation method for active distribution system was developed. When a fault occurred in transmission components, part of active distribution system could be isolated from the main grid and operated as a microgrid. In a microgrid, for each wind power scenario, the values of load consumption and power generation were compared and when the power output could not satisfy the load consumption, a load shedding strategy was performed. Then the load shedding probabilities were obtained after all the wind power scenarios were searched. Based on islanding probability, using total probability formula, the reliability indices for load points and system were obtained. The algorithm was applied into a modified IEEE RBTS test system. It is verified that the new method can balance the computation efficiency and accuracy of wind power reliability model. The test results show that wind power integration can effectively improve the reliability level of the corresponding microgrid in the distribution system.
出处 《中国电机工程学报》 EI CSCD 北大核心 2012年第34期67-73,11,共7页 Proceedings of the CSEE
基金 国家自然科学基金项目(51177080 50823001)~~
关键词 有源配电网 可靠性 风电功率 场景 孤岛运行 active distribution system reliabi!ity evaluation wind power scenario island operation
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