光储气微网优化运行研究

对于天然气与新能源发电协同运行的研究有利于提高风、光电的消纳比例。但新能源与天然气互补组成的微网系统仍存在可靠模型约束条件考虑欠缺及相应算法精度有待提高的问题。为解决该问题,依据微网系统实际运行工况和运行方式,建立了一种以经济运行为目标,包含光伏发电、储能系统、天然气发电的微网协同优化运行模型。针对模型求解算法精度较低的问题,将狼群算法的搜索策略及速度公式进行了改进,提出结合狼群搜索及淘汰机制的狼群-粒子群混合算法,加快了对模型求解的收敛速度,并提高了算法的寻优精度。最后对所搭建的模型进行计算求解。求解结果表明,改进的混合算法能够提高微网内各系统间的协同效果,降低了微网波动对配电网的影响,具有较好的应用前景。

Research on Economical Operation of the Micro-grid with Photovoltaic and Natural Gas

The research on cooperative operation of natural gas and new energy power generation is conducive to improve the absorption ratio of wind and photoelectric.However,for the micro-grid scheduling solution including new energy and natural gas,there are still problems such as lack of model constraints consideration and poor accuracy of the algorithm.To solve these problems,considering the actual operating conditions and operation modes of the micro-grid system,a micro-grid collaborative optimization operation model with economic operation as the goal,including photovoltaic power generation,energy storage system and natural gas power generation was established.Aim at the problem of low precision of the model solving algorithm,the search formula and the velocity formula of the wolf pack algorithm were improved,and the wolf-particle group hybrid algorithm was proposed,which combines wolf search and elimination mechanism.The algorithm has faster convergence rate and higher optimization accuracy.Finally,the solution results show that the hybrid algorithm can improve the synergy effect between the devices in the micro-grid and reduce the impact of micro-grid fluctuation on the distribution network,which has a good application prospect.