An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch
An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch
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基于外部档案的最优功率调度约束状态转换算法
DOI：
10.1155/2019/4727168
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发表时间：
2019-01
期刊：
影响因子：
2.3
通讯作者：
Jia Guanbo
中科院分区：
文献类型：
--
作者：
Zhou Xiaojun;Long Jianpeng;Xu Chongchong;Jia Guanbo
提出了一种基于外部档案库的约束状态转移算法(EA-CSTA)，并采用偏好权衡策略来解决锌电解过程中的功率分配优化问题。最优功率分配问题的目标是在一定的工艺和生产约束条件下，获得最优的电流密度调度方案，使电能消耗成本最小。各生产设备在不同功率阶段的电流密度受技术和生产要求的限制。此外，还综合考虑了电价和电流密度对用电成本的影响。在优化过程中，技术约束和生产约束很难得到满足，电力调度优化问题中的技术约束和生产约束被建模为非凸等式约束。此外，多个生产设备和不同的供电阶段增加了决策变量的数量。为了解决这一问题，提出了一种基于外部档案的约束状态转移算法(EA-CSTA)。采用外部存档策略，保持解的多样性，提高电力调度优化问题的寻优概率。此外，设计了偏好权衡策略以提高EA-CSTA的全局搜索性能，并对状态转移算法中的平移变换进行了改进以提高EA-CSTA的局部搜索能力。实验结果表明，与以往文献中的其他方法相比，该方法具有更高的效率。此外，该方法显著降低了电耗成本，不仅指导了锌电解生产过程，而且缓解了电网负荷压力。
This paper proposes an external archive-based constrained state transition algorithm (EA-CSTA) with a preference trade-off strategy for solving the power dispatch optimization problem in the electrochemical process of zinc (EPZ). The optimal power dispatch problem aims to obtain the optimal current density schedule to minimize the cost of power consumption with some rigorous technology and production constraints. The current density of each production equipment in different power stages is restricted by technology and production requirements. In addition, electricity price and current density are considered comprehensively to influence the cost of power consumption. In the process of optimization, technology and production restrictions are difficult to be satisfied, which are modeled as nonconvex equality constraints in the power dispatch optimization problem. Moreover, multiple production equipment and different power supply stages increase the amount of decision variables. In order to solve this problem, an external archive-based constrained state transition algorithm (EA-CSTA) is proposed. The external archive strategy is adopted for maintaining the diversity of solutions to increase the probability of finding the optima of power dispatch optimization problem. Moreover, a preference trade-off strategy is designed to improve the global search performance of EA-CSTA, and the translation transformation in state transition algorithm is modified to improve the local search ability of EA-CSTA. Finally, the experimental results indicate that the proposed method is more efficient compared with other approaches in previous papers for the optimal power dispatch. Furthermore, the proposed method significantly reduces the cost of power consumption, which not only guides the production process of zinc electrolysis but also alleviates the pressure of the power grid load.
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