Cooperative game theory approach for multi‐objective home energy management with renewable energy integration
Cooperative game theory approach for multi‐objective home energy management with renewable energy integration
复制标题
可再生能源整合多目标家庭能源管理的合作博弈论方法
DOI：
10.1049/iet-stg.2018.0094
复制
发表时间：
2018
期刊：
影响因子：
2.3
通讯作者：
S. Sivasubramani
中科院分区：
文献类型：
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作者：
B. Lokeshgupta;S. Sivasubramani
提出了一种集成小规模可再生能源的智能多目标家庭能源管理(HEM)方案的数学模型。该模型的主要目的是以一种智能的方式处理住宅负荷需求，以同时最小化用户的能源账单和系统的峰值需求。为了得到所提出的多目标问题的最优折衷解，在超准则和Pareto最优解概念的基础上，采用了合作博弈论方法。在合作博弈过程中，每个目标都被分配为一个参与者，每个参与者都试图最大化自己的收益。该博弈方法考虑了超标准形式的讨价还价模型。最后，所有参与者都可以通过集体谈判获得双赢的性质。一般来说，HEM方法处理具有不同操作特性的各种可控设备。正因为如此，所提出的HEM问题被建模为混合整数问题。因此，在该博弈过程中应用了混合整数非线性规划来最大化超准则。为了说明该模型的有效性，进行了不同的案例研究和不同的场景。
This study proposes a mathematical model of an intelligent multi-objective home energy management (HEM) scheme with the integration of small-scale renewable energy sources. The main aim of the proposed model is to handle the residential load demand in a smart way to minimise both the consumer's energy bill and the system peak demand simultaneously. To generate the best compromise solution of the proposed multi-objective problem, a cooperative game theory approach is used in this study on the basis of super-criterion and a Pareto optimal solution concept. In the cooperative game process, each HEM objective is assigned as a player and every player tries to maximise their own payoff. Bargaining model in the form of super criterion is considered in this game approach. Finally, all players can get win–win nature with collective negotiations. Generally, HEM method deals with various controllable devices having distinct operating characteristics. Because of this, the proposed HEM problem is modelled as a mixed-integer problem. Consequently, a mixed-integer non-linear programming is applied in this game process to maximise the super-criterion. To show the effectiveness of the proposed model, different case studies and various scenarios are carried out.