计及用户舒适度与用电成本的空调负荷优化控制方法
摘要：智能电网环境下,应用于空调(商业与居民用户最主要的用电负荷)的需求响应措施对电网稳定运行有重要意义。针对用户参与需求响应过程中导致舒适度明显降低的问题,本文提出了一种用户可参与自主决策的空调负荷优化控制方法,基于改进的免疫克隆选择算法,建立了同时考虑用户舒适度与用电成本的空调负荷多目标优化调控模型;并将原始免疫克隆选择算法中的变异算子改进为一种自适应的非一致性变异算子,进一步提高算法的收敛能力,逼近Pareto最优面。仿真及实验结果表明,本文算法在对空调负荷执行基于分时电价的需求响应过程中,能够有效兼顾用户对经济性和舒适性的需求;优化结果相对用户期望值的亲和力得到明显提升,验证了该算法的有效性和优越性。
Abstract:In smart grid, the demand response applied to air conditioning load, which is the major load of the commercial and residential electricity system, is of great significance for the stable operation of power network. However, participating in demand response may lead to the reduction of consumers comfort. Thus an efficient optimal control method of air conditioning load is put forward, which allows the decision-making of electricity consumers, and a multi-objective optimization model is built based on the improved immune clonal selection algorithm, which optimizes comfort and electricity expense of air conditioning users. In this paper, the mutation operator of the traditional immune clonal selection algorithm is improved as an adaptive non-uniformity mutation operator, which further enhances the convergence of the algorithm and gets a more optimal Pareto-frontier. Results of simulation and tests indicate that multi-objective optimization can effectively balance the users demand for economy and comfort during the process of demand response based on Time-of-Use (TOU) price. Moreover, the antigen affinity can be optimized by improved algorithm, which verifies the effectiveness and advantage of the improved algorithm.
标题：计及用户舒适度与用电成本的空调负荷优化控制方法
英文标题：An Optimal Control Method for Air Conditioning Load by Considering Comfort and Electricity Expense of Consumers
作者：孙 毅, 叶 涵, 李 彬, 何 伟, 尹 璐,
关键词：需求响应, 多目标优化, 免疫克隆选择算法, 非一致性变异, 空调负荷,
发表日期：2016-10-14
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