考虑分布式电源随机性的配电网最大供电能力

随着分布式电源（distributed generation， DG）越来越广泛地应用，逐渐接入到配电网中，对配电网影响举足轻重，而目前配电网最大供电能力（load supplying capability， LSC）的计算方法均未计及DG接入带来的随机性影响。针对这一问题，首先建立LSC求解模型，在蒙特卡罗模拟的概率潮流计算中考虑DG随机性，利用改进的负荷倍数法和计及电压与支路功率约束的LSC逼近法来计算配电网最大供电能力；然后通过配电网IEEE-33算例验证该模型和算法的有效性，模拟多种情景下LSC的变化，仿真结果表明DG接入配电网可提升网络静态安全裕度，且DG随机性出力影响LSC的分布特征；最后分析制约LSC提升的薄弱环节，并建议在节点电压较低处增加调压装置或无功自动补偿装置。

Load Supplying Capability for Distribution Network Considering Distributed Generation Randomness

Distributed generation （DG） is more and more widely used and gradually connected to the distribution network， whose influence on the distribution network is significant. However， current calculation methods of load supplying capability （LSC） for distribution network do not consider the randomness effects of DG. To solve this problem， LSC model was proposed firstly. With considering the randomness of DG in the probabilistic power flow calculation of Monte Carlo simulation， the improved load factor method and the LSC approximation method with considering voltage and the branch power constraints were applied to calculate the LSC of distribution network. Then the IEEE-33 example of distribution network was used to validate the effectiveness of the proposed model and algorithm， and the LSC variations in different scenarios were simulated. Simulation results show that the DG connected to distribution network can promote the network static safety margin， and the randomness of DG affects the LSC distributed characteristics. Finally the weak link that restricted the LSC promotion was analyzed. It is suggested to add voltage regulator or automatic reactive compensator at low level voltage nodes.