A demand side management based simulation platform incorporating heuristic optimization for management of household appliances

被引:118
作者
Gudi, Nikhil [1 ]
Wang, Lingfeng [1 ]
Devabhaktuni, Vijay [1 ]
机构
[1] Univ Toledo, Dept Elect Engn & Comp Sci, Toledo, OH 43606 USA
关键词
Demand-side management; Home energy management; Distributed energy resources; Particle swarm optimization; Simulation tool; Smart grid; RENEWABLE ENERGY; GENERATION; STORAGE;
D O I
10.1016/j.ijepes.2012.05.023
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Demand-Side Management (DSM) can be defined as the implementation of policies and measures to control, regulate, and reduce energy consumption. This paper introduces dynamic distributed resource management and optimized operation of household appliances in a DSM based simulation tool. The principal purpose of the simulation tool is to illustrate customer-driven DSM operation, and evaluate an estimate for home electricity consumption while minimizing the customer's cost. A heuristic optimization algorithm i.e. Binary Particle Swarm Optimization (BPSO) is used for the optimization of DSM operation in the tool. The tool also simulates the operation of household appliances as a Hybrid Renewable Energy System (HRES). The resource management technique is implemented using an optimization algorithm, i.e. Particle Swarm Optimization (PSO), which determines the distribution of energy obtained from various sources depending on the load. The validity of the tool is illustrated through an example case study for various household situations. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:185 / 193
页数:9
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