CAJ | 학술논문

根据不同时段光照强度的概率密度函数构造了光伏发电(photovoltaic，PV)功率的离散概率模型。在此基础上，以开关状态为优化变量，以高于置信水平的失电负荷量最小为目标函数，以节点电压和支路功率越限概率满足置信水平要求为约束条件，建立了基于机会约束规划的含光伏的配电网故障恢复模型。充分利用光伏发电孤岛及光伏发电与配电网的协调配合，完善了光伏发电的孤岛策略，以保证重要负荷的供电。将生成树与蚁群算法结合，提出了求解配电网故障恢复机会约束规划模型的改进算法。IEEE 33节点系统算例仿真结果验证了该模型和算法的有效性。仿真结果也表明：故障发生时刻和故障恢复时间对含光伏发电的配电网故障恢复有重要影响，应结合故障发生时刻和故障恢复时间进行配电网故障恢复方案决策。
근거불동시단광조강도적개솔밀도함수구조료광복발전(photovoltaic，PV)공솔적리산개솔모형。재차기출상，이개관상태위우화변량，이고우치신수평적실전부하량최소위목표함수，이절점전압화지로공솔월한개솔만족치신수평요구위약속조건，건립료기우궤회약속규화적함광복적배전망고장회복모형。충분이용광복발전고도급광복발전여배전망적협조배합，완선료광복발전적고도책략，이보증중요부하적공전。장생성수여의군산법결합，제출료구해배전망고장회복궤회약속규화모형적개진산법。IEEE 33절점계통산례방진결과험증료해모형화산법적유효성。방진결과야표명：고장발생시각화고장회복시간대함광복발전적배전망고장회복유중요영향，응결합고장발생시각화고장회복시간진행배전망고장회복방안결책。
Based on probability density function of illumination intensity during different time intervals in a whole day a discrete probability model of photovoltaic (PV) generation is constructed. On this basis, taking switch status as optimal variables, the minimum quantity of interrupted load as objective function and the out-of-limit probability of both nodal voltage and branch power that meet the demand of confidence level as constraints, a chance constrained programming based fault recovery model for distribution network containing PV generations is built. Fully utilizing PV generation island and the coordination of PV generation with distribution network, the islanding strategy of PV generation is perfected to ensure the power supply to important load. Combining spanning tree with ant colony algorithm, an improved algorithm to solve chance constrained programming model for fault recovery of distribution network is put forward. The effectiveness of the proposed model and algorithm is validated by simulation results of IEEE 33-bus system, and simulation results also show that the moment when fault occurs and time for fault recovery greatly impact the fault recovery of distribution network containing PV generations, thus the fault recovery scheme of the distribution network should be decided by the combination of the moment when fault occurs with the fault recovery time.