摘要
建设独立性风光混合发电系统,需对容量配置进行优化求解。为获得独立系统最优容量配置,传统算法求解时易发生收敛速度变慢、陷入局部最优解等问题,提出了一种量子遗传算法的容量最优配置求解方法。结合风光条件,引入全周期成本计算公式,结合年负载缺电率等约束条件,以系统总净现值和度电成本作为评价指标,建立系统容量配置经济型模型。通过量子比特编码与量子旋转门更新的量子遗传算法对模型进行求解。结合仿真,并与HOMER软件计算结果对比参照分析,仿真结果表明上述算法能有效给出全局最优解,证明了发电系统配置优化的有效性。
In order to get the optimal capacity allocation for the independent hybrid power generation system, the traditional algorithm is easy to fall into slow convergence rate and local optimal solution. An approach based on quantum genetic algorithm （QGA） of Quantum bit coding and Quantum rotating gate is presented to optimize the capacity allocation of the system. Combined with the constraints of the Loss of Power Supply Probability （LPSP）, Life Cycle Cost formula （LCC） is introduced, the total net present value of the system and electricity costs are taken as the evaluation index, the system economic model of capacity allocation is established and solved by QGA. Compared with the computation results of HOMER software, the simulation results show that the proposed algorithm can effectively obtain the global optimal solution,which verifies the effectiveness of the algorithm.
出处
《计算机仿真》
北大核心
2017年第2期156-161,共6页
Computer Simulation
基金
内蒙古自然科学基金项目:(NJZY13122)
内蒙古高等学校科研项目:(2013MS0707)
