考虑光伏接入不确定性的主动配电网有功?无功可控资源优化配置

Optimal Configuration of Controllable Active-Reactive Power Resources in Active Distribution Network Considering Photovoltaic Access Uncertainty

为考虑光伏接入的不确定性对主动配电网的影响,并分析建模,首先通过光伏?负荷的连续概率密度函数,将概率性场景进行最优多状态建模以抽取代表性时序场景;然后面向所抽取的场景集合,基于模糊层次分析法量化考量电压质量、经济效益、自治能力3个主动配电网运行规划性能要素。采用双层机会约束规划,构建了针对光伏接入不确定性的有功-无功可控资源优化配置模型。运用嵌入机会约束的混沌粒子群优化算法求解,实现了时序运行与配置方案协同的微型燃气轮机和电容器组的协调部署。某地实际馈线算例验证了所提模型与方法的有效性和实用性,同时该方法提高了计算精度。

Considering influence of photovoltaic access uncertainty on active distribution network, the uncertainty was analyzed and modeled. Probabilistic scenario modeling optimal multi-states was used to extract representative time-series scenarios with photovoltaic-load continuous probability density function. Based on these representative time-series scenarios, voltage quality, economic efficiency and autonomy ability, i.e. the most important performance factors of planning and operation in active distribution network, were quantified using FAHP （Fuzzy Analytic Hierarchy Process）. Using bi-level chance constrained programming, this paper built optimal allocation model of controllable active-reactive power resources in allusion to photovoltaic access uncertainty. The model was solved with chaotic swarm optimization algorithm with embedded chance constraint to achieve timing operation and configuration of coordinated deployment of micro-turbines and capacitors. An actual feeder example verified effectiveness and practicability of the proposed model with improved calculation accuracy.