一种基于动态抗体记忆库的免疫优化算法在自动需求响应中的应用

发布时间：2019-03-28 13:39

【摘要】：自动需求响应是智能电网与用户实现信息和能量互动的重要实现手段。为解决基于实时电价的自动需求响应技术应用中包含多类负荷用户的电能综合规划问题,建立优化问题的数学模型。针对该模型提出一种基于动态抗体记忆库的免疫优化算法。设计依据二重亲和度阈值检测的抗体记忆库更新机制,在优化结束后能够为用户提供多个备选可行解。采用先验知识疫苗接种的方法,提高算法的求解精度。通过抗体种群的优值马尔可夫链的转移概率分析,证明了算法的收敛性;利用实际算例验证了所提算法的有效性。对比分析的结果表明,所提算法比其他算法具有更好的全局优化能力和搜索效率。
[Abstract]:Automatic demand response is an important means to realize information and energy interaction between smart grid and users. In order to solve the problem of integrated planning of electric energy with multi-class load users in the application of automatic demand response technology based on real-time electricity price, a mathematical model of optimization problem is established. An immune optimization algorithm based on dynamic antibody memory database is proposed for this model. An update mechanism of antibody memory base based on double affinity threshold detection is designed, which can provide multiple feasible solutions for users after optimization. A priori knowledge vaccination method is used to improve the accuracy of the algorithm. The convergence of the algorithm is proved by the transfer probability analysis of the optimal Markov chain of antibody population, and the effectiveness of the proposed algorithm is verified by a practical example. The results of comparative analysis show that the proposed algorithm has better global optimization ability and search efficiency than other algorithms.
【作者单位】：中国电力科学研究院;西安交通大学机械工程学院;
【基金】：国家863高技术基金项目(2011AA05A117) 国家电网公司科技项目(PD71-12-005,PD71-12-002,PD71-12-010) 中国电力科学研究院创新基金项目(ND83-12-001)~~
【分类号】：TM744

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