Dynamic Energy Management for the Smart Grid With Distributed Energy Resources

2013 ◽  
Vol 4 (4) ◽  
pp. 2139-2151 ◽  
Author(s):  
Sergio Salinas ◽  
Ming Li ◽  
Pan Li ◽  
Yong Fu
2015 ◽  
Vol 62 (4) ◽  
pp. 2487-2498 ◽  
Author(s):  
Wayes Tushar ◽  
Bo Chai ◽  
Chau Yuen ◽  
David B. Smith ◽  
Kristin L. Wood ◽  
...  

Author(s):  
Monika Gaba ◽  
Saurabh Chanana

Abstract Demand response (DR), an integral part of the smart grid, has great potential in handling the challenges of the existing power grid. The potential of different DR programs in the energy management of residential consumers (RCs) and the integration of distributed energy resources (DERs) is an important research topic. A novel distributed approach for energy management of RCs considering the competitive interactions among them is presented in this paper. The impact of participation of RC’s in price-based (PB) and incentive-based (IB) DR programs is investigated using game theory. For this, an energy management optimization problem (EMOP) is formulated to minimize electricity cost. The utility company employs electricity price as a linear function of aggregated load in the PB DR program and an incentive rate in the IBDR program. RCs are categorized into active and passive users. Active users are further distinguished based on the ownership of energy storage devices (SD) and dispatchable generation units (DGU). EMOP is modeled using a non-cooperative game, and the distributed proximal decomposition method is used to obtain the Nash equilibrium of the game. The results of the proposed approach are analyzed using different case studies. The performance of the proposed approach is evaluated in terms of aggregated cost and system load profile. It has been observed that participation in PB and IBDR program benefits both the utility and the consumers.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 145757-145766 ◽  
Author(s):  
Bomiao Liang ◽  
Weijia Liu ◽  
Lei Sun ◽  
Zhiyuan He ◽  
Beiping Hou

2016 ◽  
Vol 12 (5) ◽  
pp. 1329421 ◽  
Author(s):  
Jose Ignacio Moreno ◽  
Manel Martínez-Ramón ◽  
Pedro S. Moura ◽  
Javier Matanza ◽  
Gregorio López

2022 ◽  
pp. 805-832
Author(s):  
Imed Saad Ben Dhaou ◽  
Aron Kondoro ◽  
Syed Rameez Ullah Kakakhel ◽  
Tomi Westerlund ◽  
Hannu Tenhunen

Smart grid is a new revolution in the energy sector in which the aging utility grid will be replaced with a grid that supports two-way communication between customers and the utility company. There are two popular smart-grid reference architectures. NIST (National Institute for Standards and Technology) has drafted a reference architecture in which seven domains and actors have been identified. The second reference architecture is elaborated by ETSI (European Telecommunications Standards Institute), which is an extension of the NIST model where a new domain named distributed energy resources has been added. This chapter aims at identifying the use of IoT and IoT-enabled technologies in the design of a secure smart grid using the ETSI reference model. Based on the discussion and analysis in the chapter, the authors offer two collaborative and development frameworks. One framework draws parallels' between IoT and smart grids and the second one between smart grids and edge computing. These frameworks can be used to broaden collaboration between the stakeholders and identify research gaps.


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