摘要
为了提高微网运行的经济性,解决风电(wind turbine, WT)、光伏(photovoltaic, PV)给微网造成的瞬时功率不平衡问题,提出一种基于延长混合储能运行寿命的微网经济运行优化模型。以调度周期内微网的综合收益最高为优化目标,根据分时电价机制优化微网同主网交换的目标功率,采用小波包算法确定超级电容器和蓄电池之间的功率分配,利用自适应粒子群算法对模型进行求解。通过MATLAB仿真验证了上述模型能够有效降低蓄电池的充放电次数,延长其使用寿命;同时使微网瞬时功率达到平衡,实现了风光储微网系统的经济运行。
In order to improve the economy of microgrid operation and solve the problem of instantaneous power imbalance caused by wind turbine(WT) and photovoltaic(PV) in microgrid, this paper proposes an economic operation optimization model of microgrid based on extending the operation life of hybrid energy storage. Taking the maximum comprehensive income of the microgrid in the scheduling period as the optimization objective, the target power of the microgrid and the main network is optimized according to the time-of-use price mechanism. The power distribution between the supercapacitor and the battery is determined by the wavelet packet algorithm, and the model is solved by the adaptive particle swarm optimization algorithm. The MATLAB simulation results show that the model can effectively reduce the charge and discharge times of the battery and prolong its service life. At the same time, the instantaneous power of the microgrid is balanced, and the economic operation of the wind-solar storage microgrid system is realized.
作者
吕海鹏
希望·阿不都瓦依提
蔺万科
王露露
LV Hai-peng;Xiwang·Abuduwayiti;LIN Wan-ke;WANG Lu-lu(School of Engineering,Xinjiang University,Urumqi Xinjiang 830002,China)
出处
《计算机仿真》
北大核心
2022年第12期97-102,共6页
Computer Simulation
关键词
混合储能系统
经济运行
寿命量化
小波包算法
自适应粒子群算法
Hybrid energy storage system
Economic operation
Life quantification
Wavelet packet algorithm
Adaptive particle swarm optimization