Management and Control of Domestic Smart Grid Technology

Abstract

Emerging new technologies like distributed generation, distributed storage, and demand side load management will change the way we consume and produce energy. These techniques enable the possibility to reduce the greenhouse effect and improve grid stability by optimizing energy streams. By smartly applying future energy production, consumption and storage techniques, a more energy efficient electricity supply chain can be achieved. In this paper a three-step control methodology is proposed to manage the cooperation between these technologies, focused on domestic energy streams. In this approach, (global) objectives like peak shaving or forming a Virtual Power Plant can be achieved without harming the comfort of residents. As shown in this work, using good predictions, in advance planning and realtime control of domestic appliances, a better matching of demand and supply can be achieved.

On the value of device flexibility in smart grid applications

“…Demand-side management (e.g., [2], [3]) and demand-response programs [4] provide incentives to domestic customers to adapt their behavior, or directly control their appliances. Commonly in these programs, customers have so-called smart appliances that can be steered within such a framework.…”

A Review of Smart Villages in India with Improved Sensing Technologies and Micro Power grids

“…Plan of the electrical foundation is finished with a PV test system control source. Outline of Village Modules that reenact the electrical heap of around 150 homes is additionally continuous [7]. At the present stage, this permits 40-60 W for every home, which is being tried for lighting and phone charging capacities.…”

“…At the present stage, this permits 40-60 W for every home, which is being tried for lighting and phone charging capacities. The objective is to ideally apportion some of this power to monetary improvement outside pinnacle utilization hours to help gadgets like a sewing machine, cooler, or grain process [7]. Outline exercises have and will keep on incorporating contribution from SVM Team Members, look into accomplices, and mechanical partners.…”

Reducing electricity costs in a dynamic pricing environment

“…Molderink et al [9] proposed a three-step approach to manage the cooperation of distributed generation, distributed storage and demand-side load managements applied to domestic energy streams. The authors pointed that these three elements are relevant to each other.…”

“…In [19], Xu and Liu presented a distributed multi-agent based load restoration algorithm. Similarly to [9], the authors considered a local and global approach. Global information that is needed for distributed load restoration can be achieved based on the Average Consensus Theorem [18] (this relied on local information to guarantee that the important information can be shared in a distributed way).…”