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Intelligent Load Management Scheme for a Residential Community in Smart Grids Network Using Fair Emergency Demand Response Programs  [PDF]
Muhammad Ali, Z.A. Zaidi, Qamar Zia, Kamal Haider, Amjad Ullah, Muhammad Asif
Energy and Power Engineering (EPE) , 2012, DOI: 10.4236/epe.2012.45044
Abstract: In the framework of liberalized deregulated electricity market, dynamic competitive environment exists between wholesale and retail dealers for energy supplying and management. Smart Grids topology in form of energy management has forced power supplying agencies to become globally competitive. Demand Response (DR) Programs in context with smart energy network have influenced prosumers and consumers towards it. In this paper Fair Emergency Demand Response Program (FEDRP) is integrated for managing the loads intelligently by using the platform of Smart Grids for Residential Setup. The paper also provides detailed modelling and analysis of respective demands of residential consumers in relation with economic load model for FEDRP. Due to increased customer’s partaking in this program the load on the utility is reduced and managed intelligently during emergency hours by providing fair and attractive incentives to residential clients, thus shifting peak load to off peak hours. The numerical and graphical results are matched for intelligent load management scenario.
FEDRP Based Model Implementation of Intelligent Energy Management Scheme for a Residential Community in Smart Grids Network  [PDF]
Qamar Zia, Muhammad Ali, Zulfikar Ahmad Zaidi, Chaudhry Arshad, Amjad Ullah, Hafeez ur Rahman, Muhammad Ahsan Shahzad, Beenish Taj
Smart Grid and Renewable Energy (SGRE) , 2012, DOI: 10.4236/sgre.2012.34045
Abstract: In the framework of liberalized deregulated electricity market, dynamic competitive environment exists between wholesale and retail dealers for energy supplying and management. Smart Grids topology in form of energy management has forced power supplying agencies to become globally competitive. Demand Response (DR) Programs in context with smart energy network have influenced prosumers and consumers towards it. In this paper Fair Emergency Demand Response Program (FEDRP) is integrated for managing the loads intelligently by using the platform of Smart Grids for Residential Setup. The paper also provides detailed modeling and analysis of respective demands of residential consumers in relation with economic load model for FEDRP. Due to increased customer’s partaking in this program the load on the utility is reduced and managed intelligently during emergency hours by providing fair and attractive incentives to residential clients, thus shifting peak load to off peak hours. The numerical and graphical results are matched for intelligent energy management scenario.
Customer Engagement Plans for Peak Load Reduction in Residential Smart Grids  [PDF]
Naveed Ul Hassan,Yawar Ismail Khalid,Chau Yuen,Wayes Tushar
Computer Science , 2015,
Abstract: In this paper, we propose and study the effectiveness of customer engagement plans that clearly specify the amount of intervention in customer's load settings by the grid operator for peak load reduction. We suggest two different types of plans, including Constant Deviation Plans (CDPs) and Proportional Deviation Plans (PDPs). We define an adjustable reference temperature for both CDPs and PDPs to limit the output temperature of each thermostat load and to control the number of devices eligible to participate in Demand Response Program (DRP). We model thermostat loads as power throttling devices and design algorithms to evaluate the impact of power throttling states and plan parameters on peak load reduction. Based on the simulation results, we recommend PDPs to the customers of a residential community with variable thermostat set point preferences, while CDPs are suitable for customers with similar thermostat set point preferences. If thermostat loads have multiple power throttling states, customer engagement plans with less temperature deviations from thermostat set points are recommended. Contrary to classical ON/OFF control, higher temperature deviations are required to achieve similar amount of peak load reduction. Several other interesting tradeoffs and useful guidelines for designing mutually beneficial incentives for both the grid operator and customers can also be identified.
Demand Response Management For Power Throttling Air Conditioning Loads In Residential Smart Grids  [PDF]
Yawar Ismail Khalid,Naveed Ul Hassan,Chau Yuen,Shisheng Huang
Computer Science , 2014,
Abstract: In this paper we develop an algorithm for peak load reduction to reduce the impact of increased air conditioner usage in a residential smart grid community. We develop Demand Response Management (DRM) plans that clearly spell out the maximum duration as well as maximum severity of inconvenience. We model the air conditioner as a power throttling device and for any given DRM plan we study the impact of increasing the number of power states on the resulting peak load reduction. Through simulations, we find out that adding just one additional state to the basic ON/OFF model, which can throttle power to 50% of the rated air conditioner power, can result in significant amount of peak reduction. However, the peak load that can be reduced is diminishing with the increase in number of states. Furthermore, we also observe the impact of inconvenience duration and inconvenience severity in terms of peak load reduction. These observations can serve as useful guidelines for developing appropriate DRM plans.
Market-based Demand Response via Residential Plug-in Electric Vehicles in Smart Grids  [PDF]
Farshad Rassaei,Wee-Seng Soh,Kee-Chaing Chua
Mathematics , 2015,
Abstract: Flexibility in power demand, diverse usage patterns and storage capability of plug-in electric vehicles (PEVs) grow the elasticity of residential electricity demand remarkably. This elasticity can be utilized to form the daily aggregated demand profile and/or alter instantaneous demand of a system wherein a large number of residential PEVs share one electricity retailer or an aggregator. In this paper, we propose a demand response (DR) technique to manage vehicle-to-grid (V2G) enabled PEVs' electricity assignments (charging and discharging) in order to reduce the overall electricity procurement costs for a retailer bidding to a two-settlement electricity market, i.e., a day-ahead (DA) and a spot or real-time (RT) market. We show that our approach is decentralized, scalable, fast converging and does not violate users' privacy. Extensive simulations show significant overall cost savings can be achieved for a retailer bidding to an operational electricity market by using the proposed algorithm. This technique becomes more needful when the power grid accommodates a large number of intermittent energy resources wherein RT demand altering is crucial due to more likely contingencies and hence more RT price fluctuations and even occurring the so-called \textit{black swan events}. Finally, such retailer could offer better deals to customers as well.
Joint Shaping and Altering the Demand Profile by Residential Plug-in Electric Vehicles for Forward and Spot Markets in Smart Grids  [PDF]
Farshad Rassaei,Wee-Seng Soh,Kee-Chaing Chua
Mathematics , 2015,
Abstract: Plug-in electric vehicles (PEVs) can significantly increase the elasticity of residential electricity demand. This elasticity can be employed to shape the daily aggregated electricity demand profile of a system comprised of a large number of residential PEVs' users sharing one electricity retailer or an aggregator. In this paper, we propose a joint demand shaping and altering algorithm for managing vehicle-to-grid (V2G) enabled PEVs' electricity assignments (charging and discharging) in order to diminish the overall electricity procurement costs for a retailer bidding to two-settlement electricity markets, i.e., a day-ahead (DA) and a real-time (RT) market. This approach is decentralized, scalable, fast converging and does not violate users' privacy. Our simulations' results demonstrate significant overall cost savings (up to 28\%) for a retailer bidding to an operational electricity market by using our proposed algorithm. This becomes even more salient when the power system is integrating a large number of intermittent energy resources wherein RT demand altering is crucial due to more likely contingencies and hence more RT price fluctuations and even more so-called \textit{black swan events}. Lower electricity procurement cost for a retailer finally makes it able to offer better deals to customers and expand its market capacity. This implies that customers can enjoy lower electricity bills as well.
Building Automation Networks for Smart Grids  [PDF]
Peizhong Yi,Abiodun Iwayemi,Chi Zhou
International Journal of Digital Multimedia Broadcasting , 2011, DOI: 10.1155/2011/926363
Abstract: Smart grid, as an intelligent power generation, distribution, and control system, needs various communication systems to meet its requirements. The ability to communicate seamlessly across multiple networks and domains is an open issue which is yet to be adequately addressed in smart grid architectures. In this paper, we present a framework for end-to-end interoperability in home and building area networks within smart grids. 6LoWPAN and the compact application protocol are utilized to facilitate the use of IPv6 and Zigbee application profiles such as Zigbee smart energy for network and application layer interoperability, respectively. A differential service medium access control scheme enables end-to-end connectivity between 802.15.4 and IP networks while providing quality of service guarantees for Zigbee traffic over Wi-Fi. We also address several issues including interference mitigation, load scheduling, and security and propose solutions to them. 1. Introduction The smart grid is an intelligent power generation, distribution, and control system. It enhances today’s power grid with intelligence, bidirectional communication capabilities and energy flows [1]. These enhancements address the efficiency, stability, and flexibility issues that plague the grid at present. In order to achieve its promised potential, the smart grid must facilitate services including the wide-scale integration of renewable energy sources, provision of real-time pricing information to consumers, demand response programs involving residential and commercial customers, and rapid outage detection. All these tasks demand the collection and analysis of real-time data. This data is then used to control electrical loads and perform demand response. In order to obtain the full benefit of smart grids, their communication infrastructure must support device control and data exchanges between various domains which comprise the smart grid. The smart grid must be allied with smart consumption in order to achieve optimum power system efficiency. This necessitates the integration of smart buildings, appliances, and consumers in order to reduce energy consumption while satisfying occupant comfort. Building automation systems (BASs) already provide this intelligence, enabling computerized measurement, control and management of heating, ventilation, air-conditioning (HVAC), lighting, and security systems to enhance energy efficiency, reduce costs, and improve user comfort. Buildings consume 29% of all electricity generated in the United States [2]; therefore, the ability of BASs to communicate
Insights from Stakeholders of Five Residential Smart Grid Pilot Projects in the Netherlands  [PDF]
Uchechi Obinna, Peter Joore, Linda Wauben, Angele Reinders
Smart Grid and Renewable Energy (SGRE) , 2016, DOI: 10.4236/sgre.2016.71001
Abstract: This paper presents insights and perceptions of stakeholders involved in the development and implementation of residential smart grid pilot projects in the Netherlands, adding to the limited information that is currently available in this area, while expectations about the potential benefits of smart grids are high. The main research questions of this study are: (1) How have some typical residential smart grid pilots in the Netherlands been set up? (2) Which stakeholders are involved in these pilots in the year 2014? (3) What are their views and perceptions with regards to the development and performance of residential smart grids? and (4) What do these stakeholders think about the products and services that may support an active participation of end-users in a smart energy home? To obtain information, we evaluated five residential smart grid pilot projects where smart energy products and services have been implemented. Semi-structured interviews were conducted with nine stakeholders involved in these projects. The Strategic Niche management framework was used to identify the present state of development and implementation of smart grid pilots. Our study shows that in the Netherlands residential smart grid pilots have been set-up and funded mainly by the government and grid operators. Other stakeholders involved include energy suppliers, end-users (as an energy cooperative or individual household), product and service suppliers, Information and Communication Technology (ICT) companies, and knowledge institutes. Currently a technology-push approach exists which barely includes an integrated approach towards smart grids products and services development. To the opinion of the interviewed stakeholders, current products and services offered in residential smart grid pilots are functionally attractive, but often too technically complex for the understanding of end-users. Hence, the general view held by respondents is that end-users should be the starting point in the development of smart grid products and services at the residential areas.
Home Energy Management Systems in Future Smart Grids  [PDF]
I. Khan,A. Mahmood,N. Javaid,S. Razzaq,R. D. Khan,M. Ilahi
Computer Science , 2013,
Abstract: We present a detailed review of various Home Energy Management Schemes (HEM,s). HEM,s will increase savings, reduce peak demand and Pto Average Ratio (PAR). Among various applications of smart grid technologies, home energy management is probably the most important one to be addressed. Various steps have been taken by utilities for efficient energy consumption.New pricing schemes like Time of Use (ToU), Real Time Pricing (RTP), Critical Peak Pricing (CPP), Inclining Block Rates (IBR) etc have been been devised for future smart grids.Home appliances and/or distributed energy resources coordination (Local Generation) along with different pricing schemes leads towards efficient energy consumption. This paper addresses various communication and optimization based residential energy management schemes and different communication and networking technologies involved in these schemes.
Energy Management and Smart Grids  [PDF]
Rosario Miceli
Energies , 2013, DOI: 10.3390/en6042262
Abstract: The paper outlines energy management concepts and the smart grid evolution. The necessity of considering energy management as a crucial innovation in load supplying to permit a more powerful penetration of renewable energy usage at the building and city level and to perform energy savings and CO2 emissions reduction is pointed out. The driving factors to enhance the current power distribution are presented, and the benefits concerning smart grids are underlined. In the paper, a specific energy management analysis is reported by considering all the electric value chain, and the demand-side management and distributed on site control actions are described. To verify the benefit of energy management control actions, a house simulator and a grid simulator are here presented and the results discussed in three different scenarios. Moreover, in the paper, the evaluation of ecological benefits are reported, and a cost benefit analysis of the energy management system is performed. Results pointed out that with the standard control actions, the system is not economic for the end user, and only by using energy management systems with renewable energy, in site production remunerative energy savings can be reached. Finally the evolution of smart grids is presented, focusing on potential benefits and technical problems. The active grids, microgrids and virtual utility are described, and final consideration on hypothetical scenarios is presented in the conclusion.
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