计及节能调度的分布式电源优化配置及其并行计算

研究了多负荷水平下计及节能调度的配电网分布式电源(DG)优化配置问题,建立了2层规划数学模型,上层优化以DG并网运行价值最大为目标,确定DG与储能电池的位置和容量;下层优化模拟配置储能装置的配电网最优节能调度,确定DG的运行出力。采用蚁群算法结合线性规划的混合算法对该模型进行了求解,并实现了主从模式与对等模式相混合的并行算法。算例表明,该模型可显著提高DG接入容量和实际发电量,使DG并网运行价值最大化;并行算法可有效提高算法的计算速度和搜索效率。

Optimal Allocation of Distributed Generation and Its Parallel Computation Considering Energy-saving Dispatching

The optimal allocation problem of distributed generation (DG) under multiple load levels in a distribution network is investigated. A new bilevel programming model that considers DG participating in energy-saving dispatching is proposed. The upper level aims at maximizing the operation value of DG by determining the site and size of DG and energy storage; the lower level determines DG output by simulating optimal energy-saving dispatch in the distribution network including energy storage. A hybrid algorithm that combines the ant colony algorithm with linear programming to solve this model is constructed. In order to reduce the computation time, a parallel algorithm is implemented. Simulation results show that the DG capacity and operation value is greatly enhanced by using the proposed model. Moreover, the calculating speed and searching efficiency can be improved with the parallel algorithm.