基于改进类电磁机制的水火电力系统短期优化调度

发布时间：2018-09-06 14:01

【摘要】：针对水火电力系统短期优化调度模型的大规模、强非线性特点,采用类电磁机制对其进行求解。通过对搜索策略和寻优机制分析,揭示算法效率高的根本原因在于其融合了常规优化算法的高效搜索优势。经计算分析表明,个体受力计算及局部搜索是影响算法优化效率的主要因素。通过对算法的电荷量计算、受力计算、算法全局与局部搜索策略改进,首次提出适合于大规模非线性优化问题求解的单方向受力类电磁机制,并从理论上证明其全局收敛性。为进一步提高算法优化性能,将改进算法与遗传算法的交叉算子和变异算子融合应用于优化调度模型求解,通过广西水火电力系统进行仿真分析,结果表明该算法在求解大规模强非线性优化问题方面的有效性和显著优越性。
[Abstract]:In view of the large scale and strong nonlinearity of the short-term optimal dispatching model of hydro-thermal power system, the similar electromagnetic mechanism is used to solve the problem. Through the analysis of search strategy and optimization mechanism, it is revealed that the fundamental reason for the high efficiency of the algorithm is that it combines the efficient search advantages of conventional optimization algorithms. The calculation and analysis show that the calculation of individual forces and the local search are the main factors affecting the optimization efficiency of the algorithm. By improving the algorithm's global and local search strategies, the electromagnetic mechanism of single-direction force is proposed for solving large-scale nonlinear optimization problems, and its global convergence is proved theoretically. In order to further improve the optimization performance of the algorithm, the crossover operator and mutation operator of the improved algorithm and the genetic algorithm are applied to solve the optimal scheduling model, and the simulation analysis is carried out through Guangxi hydro-thermal power system. The results show that the algorithm is effective and effective in solving large-scale strongly nonlinear optimization problems.
【作者单位】：广东工业大学自动化学院;广西民族大学信息科学与工程学院;
【基金】：国家自然科学基金(50767001、51167003) 国家高技术研究发展计划(863计划)(2007AA04Z197) 广东省自然科学基金(S2013040013776‘S2012040007911) 广东省教育厅育苗工程项目(2013 LYM_0019) 广东省高校电力节能重点实验室资助项目
【分类号】：TM73

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