基于改进蚁群动态规划的光储微网容量优化配置

为降低并网光储微网的综合发电成本，并提高优化容量配置性能，该文研究基于改进蚁群动态规划算法的光储微网容量优化配置方法。针对传统启发式算法容易陷入局部最优以及早熟收敛的问题，首先将蚁群算法与动态规划算法结合，简化计算过程；进而，将迭代次数有关的衰减参数引入调节因子中，提高其全局搜索能力；最后，将Boltzmann选择机制引进蚁群搜索过程，并在蚁群信息素更新过程中采用偏转角度因子与拐点参数进行修正，从而大幅提高算法的优化性能。通过对海宁某小区实际数据进行仿真分析，验证了该算法的实用性和优越性。

OPTIMAL CONFIGURATION OPTIMIZATION OF PV ENERGY STORAGE MICROGRID USING IMPROVED ANT COLONY DYNAMIC PROGRAMMING

An ant colony dynamic programming algorithm is presented to determine the optimal combination of a PV-BS microgrid, in order to reduce the comprehensive power generation cost of grid-connected PV-BS microgrid and the performance of optimal sizing. As the traditional heuristic algorithm is high possibility of being trapped in local optimum, the proposed to integrate ant colony algorithm and dynamic programming algorithm together, which is applied to the allocation table construction of dynamic programming to simplify the calculation process. Then, the decay parameter related to the number of iterations is introduced into the adjustment factor to improve its global search ability. Thirdly, the Boltzmann selection mechanism is introduced into the ant colony search process, and the deflection angle factor and the inflection point parameter are used to correct the ant colony pheromone update process, thereby effectively improving the optimization performance of the algorithm. Finally, the practicability and superiority of the algorithm are verified by the simulation analysis of the actual data of a residential area in Haining.