Demand-Side Management

2018 ◽  
pp. 453-479
Author(s):  
Pawan Kumar ◽  
Ikbal Ali ◽  
Dip V. Thanki
Keyword(s):  
Energy Management ◽  
Demand Side Management ◽  
Storage Device ◽  
Energy Prices ◽  
Demand Side ◽  
Building Energy Conservation ◽  
Flexible Load ◽  
Load Shape ◽  
New Generation ◽  
Generation Unit

Growing demands are causing increased pressure on the electrical infrastructure and perpetually escalated energy prices. Utilities around the world have been considering demand-side management in their strategic planning. The costs of constructing and operating a new capacity generation unit are increasing every day as well as transmission, distribution, and land issues for new generation plants, which force the utilities to search for other alternatives. Here, demand-side management has been implemented as it is less expensive to intelligently influence a load than to build a new power plant or install electrical based storage device. In this chapter, the author has discussed energy efficiency and demand response fulfilling the criteria of energy management which usually tries to take influence onto the energy consumption of a number of energy consumers. The explained demand-side management technical objectives are peak clipping, valley filling, load shifting, load building, energy conservation, and flexible load shape.

scholarly journals Perspectives and Intensification of Energy Efficiency in Commercial and Residential Buildings Using Strategic Auditing and Demand-Side Management

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4539 ◽  
Author(s):  
Kumar ◽  
Brar ◽  
Singh ◽  
Nikolovski ◽  
Baghaee ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Management ◽  
Residential Buildings ◽  
Effective Means ◽  
Demand Side Management ◽  
Demand Side ◽  
Specific System ◽  
Energy Data ◽  
Energy Auditing

With the ever-growing power demand, the energy efficiency in commercial and residential buildings is a matter of great concern. Also, strategic energy auditing (SEA) and demand-side management (DSM) are cost-effective means to identify the requirements of power components and their operation in the energy management system. In a commercial or residential building, the major components are light sources and heating, ventilation, and air conditioning. The number of these components to be installed depends upon the technical and environmental standards. In this scenario, energy auditing (EA) allows identifying the methods, scope, and time for energy management, and it helps the costumers to manage their energy consumption wisely to reduce electricity bills. In the literature, most of the traditional strategies employed specific system techniques and algorithms, whereas, in recent years, load shifting-based DSM techniques were used under different operating scenarios. Considering these facts, the energy data in a year were collected under three different seasonal changes, i.e., severe cold, moderate, and severe heat for the variation in load demand under different environmental conditions. In this work, the energy data under three conditions were averaged, and the DSM schemes were developed for the operation of power components before energy auditing and after energy auditing. Moreover, the performance of the proposed DSM techniques was compared with the practical results in both scenarios, and, from the results, it was observed that the energy consumption reduced significantly in the proposed DSM approach.

scholarly journals A Smart Autonomous Time- and Frequency-Domain Analysis Current Sensor-Based Power Meter Prototype Developed over Fog-Cloud Analytics for Demand-Side Management

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4443 ◽  
Author(s):  
Yung-Yao Chen ◽  
Yu-Hsiu Lin
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Electrical Energy ◽  
Demand Side Management ◽  
Current Sensor ◽  
The Internet ◽  
Load Identification ◽  
Demand Side ◽  
Power Meter ◽  
Iot Devices

Electrical energy management, or demand-side management (DSM), in a smart grid is very important for electrical energy savings. With the high penetration rate of the Internet of Things (IoT) paradigm in modern society, IoT-oriented electrical energy management systems (EMSs) in DSM are capable of skillfully monitoring the energy consumption of electrical appliances. While many of today’s IoT devices used in EMSs take advantage of cloud analytics, IoT manufacturers and application developers are devoting themselves to novel IoT devices developed at the edge of the Internet. In this study, a smart autonomous time and frequency analysis current sensor-based power meter prototype, a novel IoT end device, in an edge analytics-based artificial intelligence (AI) across IoT (AIoT) architecture launched with cloud analytics is developed. The prototype has assembled hardware and software to be developed over fog-cloud analytics for DSM in a smart grid. Advanced AI well trained offline in cloud analytics is autonomously and automatically deployed onsite on the prototype as edge analytics at the edge of the Internet for online load identification in DSM. In this study, auto-labeling, or online load identification, of electrical appliances monitored by the developed prototype in the launched edge analytics-based AIoT architecture is experimentally demonstrated. As the proof-of-concept demonstration of the prototype shows, the methodology in this study is feasible and workable.

scholarly journals An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid

Energies ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 190 ◽  
Author(s):  
Hafiz Hussain ◽  
Nadeem Javaid ◽  
Sohail Iqbal ◽  
Qadeer Hasan ◽  
Khursheed Aurangzeb ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Management System ◽  
Demand Side Management ◽  
Demand Side ◽  
Home Energy Management

scholarly journals Effect of Demand Side Management on the Operation of PV-Integrated Distribution Systems

2020 ◽  
Vol 10 (21) ◽  
pp. 7551
Author(s):  
Jaser A. Sa’ed ◽  
Zakariya Wari ◽  
Fadi Abughazaleh ◽  
Jafar Dawud ◽  
Salvatore Favuzza ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Smart Grids ◽  
Distribution Systems ◽  
Electrical Energy ◽  
Demand Side Management ◽  
Test System ◽  
Demand Side ◽  
Direct Load Control ◽  
Wide Range ◽  
Load Shape

In this new era of high electrical energy dependency, electrical energy must be abundant and reliable, thus smart grids are conducted to deliver load demands. Hence, smart grids are implemented alongside distributed generation of renewable energies to increase the reliability and controllability of the grid, but, with the very volatile nature of the Distributed Generation (DG), Demand Side Management (DSM) helps monitor and control the load shape of the consumed power. The interaction of DSM with the grid provides a wide range of mutual benefits to the user, the utility and the market. DSM methodologies such as Conservation Voltage Reduction (CVR) and Direct Load Control (DLC) collaborate in the reduction of plant generation and reciprocally to the comprehensive cost. The aim of this paper is to investigate the effects caused by the implementation of DSM on the operation of PV-integrated distribution systems. The algorithms of CVR, DLC and the combination of CVR and DLC were implemented using OpenDSS and MATLAB. The effectiveness of the aforementioned schemes was verified on IEEE 30-Bus test system. Various possible integration scenarios between Photovoltaic (PV) and DSM schemes are illustrated. The optimal integration of such schemes constraining the reduction of energy consumed by the user and utility is presented. The results show that the implemented DSM algorithms provide a noticeable reduction in energy losses and reduction in consumed energy.

Battery Management Based on Predictive Control and Demand-Side Management

2016 ◽  
pp. 149-180
Author(s):  
Deepranjan Dongol ◽  
Elmar Bollin ◽  
Thomas Feldmann
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
Management Strategy ◽  
Demand Side Management ◽  
Battery Management ◽  
Demand Side ◽  
Energy Management Strategy ◽  
Battery System ◽  
Surplus Energy ◽  
Load Demand

The chapter is intended to introduce the predictive control based energy management strategy for the grid connected renewable systems in order to achieve an effective demand side management strategy. Grid connected Photovoltaic battery system as being popular and extensively used has been discussed in this chapter .Conventionally, battery storage has been used to store surplus energy produced and meet the load demand with this stored energy. However, such systems do not respond to the grid conditions and violate grid constraints of permissible grid voltage and frequency limits. The operation of the battery depends on the forecast of photovoltaic output and the load demand and as such a predictive control based energy management strategy is needed. A simple optimization problem for such scenarios has also been formulated in great detail to provide readers with an idea for solving such problems. The results of simulations are also discussed.

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