An Algorithm for Intelligent Home Energy Management and Demand Response Analysis

Pipattanasomporn, Manisa; Kuzlu, Murat; Rahman, Saifur

doi:10.1109/tsg.2012.2201182

Cited by 539 publications

(272 citation statements)

References 11 publications

(14 reference statements)

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“…The study builds on the micro-simulation and optimization framework developed in [8] for fully decentralized Demand Side Management (DSM) of household loads in a distribution network [9], [10]. Each household is equipped with a DSM controller which aims to achieve two objectives: a), minimization of energy costs for the end user, and b), stabilization of the load profile (load flattening) at the MV/LV transformer.…”

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confidence: 99%

Restricted Neighborhood Communication Improves Decentralized Demand-Side Load Management

Giusti

Salani

et al. 2014

IEEE Trans. Smart Grid

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Abstract-We address demand-side management of dispatchable loads in a residential microgrid by means of decentralized controllers deployed in each household. Controllers simultaneously optimize two possibly conflicting objectives: minimization of energy costs for the end user (considering a known, timedependent tariff) and stabilization of the aggregate load profile (load flattening). The former objective can be optimized independently by each controller. On the other hand, the latter could benefit from a communication infrastructure that allows the controllers to explicitly exchange information and coordinate.To study how different levels of communication pervasiveness affect system performance, we developed a realistic microsimulation environment accounting for the behavior of residents, dispatchable and non-dispatchable household loads, and the effects on the distribution network. We considered a generic model of communication among household controllers, not tied to any specific technology, and based on the partitioning of the households in a number of groups (neighborhoods). Controllers within the same neighborhood enjoy full connectivity, but cannot interact with controllers outside of their neighborhood. Through extensive simulation experiments, we observed that even communication neighborhoods constituted by as few as 3-4 households are sufficient to effectively stabilize the aggregate network load profile, with minimal bandwidth consumption. Increasing the neighborhood size leads to comparatively negligible performance improvements. We conclude that effective load flattening can be achieved with minimal requirements of communication infrastructure and transmitted information.

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confidence: 99%

Restricted Neighborhood Communication Improves Decentralized Demand-Side Load Management

Giusti

Salani

et al. 2014

IEEE Trans. Smart Grid

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“…The HEM algorithm used with the proposed load controller system is similar to [7]. A discussion of the algorithm is presented here for the convenience of the readers.…”

Section: Software Design Of Hemmentioning

confidence: 99%

“…It can help mitigate power system stress conditions and improve the utilization of generation, transmission and distribution resources. As a result, there have been a lot of interest in developing effective HEM/BEM algorithms [2][3][4][5][6][7][8], as well as hardware infrastructures/ components for complete HEM/BEM solutions [9][10][11][12][13][14][15][16][17]. For communication and control of household loads, most HEM solutions rely either on an existing network of wireless sensors [9] or new design of smart outlets/smart plugs/smart sensors in a system that may use ZigBee [10], power line communication (PLC) [11], ZigBee and PLC [12], infrared (IR) [13], BACnet [14], or cloud-based technologies [15].…”

Section: Introductionmentioning

confidence: 99%

Enabling Residential Demand Response Applications with a ZigBee-Based Load Controller System

et al. 2016

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Home energy management (HEM) systems are getting increasingly popular in both academic and commercial communities. Most HEM solutions rely on either smart appliances or plugging traditional appliances into smart outlet/smart plugs which can communicate with the central HEM server. Conventional non-communicating powerintensive loads that are directly hard-wired to the supply panel of the house in the U.S., e.g., water heaters and clothes dryers, therefore are difficult to be made part of an HEM system. This paper describes the design and implementation of a microcontroller and ZigBee based load controller system that allows these loads to be controlled by an HEM system. The proposed system consists of four load controllers (LCs) that monitor and control four power-intensive household loads, and one communication controller (CC) that acts as a communication medium between LCs and a central HEM unit. The CC and all the LCs are packaged into one load controller box that can be placed beside the main circuit panel of the house and the wirings to the power-intensive loads are routed through the LCs. Within the box, the LCs and the CC communicate via hard-wired serial peripheral interface. The CC then communicates with the HEM system via ZigBee. The proposed system is expected to offer a cost-effective method

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“…As a load, the energy needs of EVs can reach to the levels of new power plant installation requirements. The recommended charging level of a Chevy Volt as a small sized EV is 3.3 kW [79], which can even exceed the total installed power of many individual homes in an insular area.…”

Section: Demand-side Managementmentioning

confidence: 99%

Overview of insular power systems under increasing penetration of renewable energy sources: Opportunities and challenges

Erdinç

Paterakis

Catalào

2015

Renewable and Sustainable Energy Reviews

116

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Insular electricity grids are considered to have a more fragile structure than the mainland ones due to several factors such as the lower inertia because of lower number of generation facilities connected to the system, absence or insufficient interconnection with the main grid, etc. The recent trend of integrating large portions of environmentally sustainable power generation units that have a significantly volatile nature in the generation mix (such as wind and solar energy conversion systems) within this fragile structure, poses profound challenges that need deeper and specific analysis. This study aims to provide an overview of insular power system structures and operational requirements, especially under increasing penetration of renewable energy sources. Firstly, a general evaluation of insular power systems is presented. Then, potential challenges are thoroughly discussed together with opportunities to tackle them. Future technological developments, as well as innovative applications are also given special attention. Hence, this paper contributes to the scarce literature regarding insular power systems by providing a critical overview of issues regarding their operation and possible solutions.

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An Algorithm for Intelligent Home Energy Management and Demand Response Analysis

Cited by 539 publications

References 11 publications

Restricted Neighborhood Communication Improves Decentralized Demand-Side Load Management

Restricted Neighborhood Communication Improves Decentralized Demand-Side Load Management

Enabling Residential Demand Response Applications with a ZigBee-Based Load Controller System

Overview of insular power systems under increasing penetration of renewable energy sources: Opportunities and challenges

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