A Reputation-Based Distributed District Scheduling Algorithm for Smart Grids

被引：0
|
作者：
Borra, D. [1 ]
Iori, M. [2 ]
Borean, C. [2 ]
Fagnani, F. [1 ]
机构：
[1] Politecn Torino, Dipartimento Sci Matemat, Turin, Italy
[2] Telecom Italia, Swarm Joint Open Lab, Lazio, Italy
来源：
INTERNET OF THINGS: USER-CENTRIC IOT, PT I | 2015年 / 150卷
关键词：
Distributed algorithms; Autonomous demand response management; Energy consumption scheduling; Smart power grids; Reputation algorithm; OPTIMIZATION;
D O I：
10.1007/978-3-319-19656-5_11
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we develop and test a distributed algorithm providing Energy Consumption Schedules (ECS) in smart grids for a residential district. The goal is to achieve a given aggregate load profile. The NP-hard constrained optimization problem reduces to a distributed unconstrained formulation by means of Lagrangian Relaxation technique, and a meta-heuristic algorithm based on a Quantum inspired Particle Swarm with Levy flights. A centralized iterative reputation-reward mechanism is proposed for end-users to cooperate to avoid power peaks and reduce global overload, based on random distributions simulating human behaviors and penalties on the effective ECS differing from the suggested ECS. Numerical results show the protocols effectiveness.
引用
收藏
页码：70 / 76
页数：7
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