基于平抑风光出力波动的主动配电网优化调度

因风电、光伏光出力波动特性,并网运行将对主动配电网运行的稳定性造成影响。结合储能系统,将主动配电网中功率波动幅度大的风电、功率具有间歇特性的光伏搭建为风光储联合发电系统。通过改变柔性负荷边际效益增强其参与调度意愿,提高主动配电网消纳分布式可再生能源的能力及运行的稳定性。为提高粒子群算法的收敛性,利用模糊推理规则对学习因子动态调整。基于IEEE 30节点仿真算例,以系统日运行综合经济性为目标,使用模糊自适应粒子群算法寻优。算例仿真与分析验证了该文模型有效性。

OPTIMAL DISPATCHING OF ACTIVE DISTRIBUTION NETWORK BASED ON SUPPRESSING WIND AND PHOTOVOLTAIC POWER FLUCTUATION

Due to the fluctuating characteristics of wind power and photovoltaic（PV） output, grid-connected operation will affect the stability of active distribution network（ADN） operation. Combined with the energy storage system, wind power with large power fluctuations and photovoltaic power with intermittent characteristic in the active distribution network are built into a wind-solar-storage combined power generation system. By changing the marginal benefit of the flexible load to enhance its willingness to participate in the dispatch, the ability of the active distribution network to consume distributed renewable energy and the stability of the operation are improved. To improve the convergence of the particle swarm algorithm, the learning factor is dynamically adjusted by using fuzzy inference rules. Based on the IEEE 30-node simulation example, the fuzzy adaptive particle swarm algorithm is used to find the best performance with the objective of comprehensive economy of system daily operation. The simulation and analysis of the algorithm validate the validity of the model in this paper.