Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Valinejad, Jaber; Marzband, Mousa; Korkali, Mert; Xu, Yijun; Al-Sumaiti, Ameena Saad

doi:10.35833/mpce.2019.000116

Cited by 31 publications

(20 citation statements)

References 39 publications

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“…The literature considers three different motivations, i.e., cost, frequency, and emissions, for the initiation or involvement in DR programs. For instance, [9], [10] consider decreasing electricity cost as an incentive to motivate consumers to participate in a DR program. Frequency stability as ancillary service is another motivation to initiate a DR program.…”

Section: Model Propertymentioning

confidence: 99%

Environomic-Based Social Demand Response in Cyber-Physical-Social Power Systems

Valinejad

Mili

Wal

et al. 2022

IEEE Trans. Circuits Syst. II

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According to the Department of Energy, demand response provides an opportunity for end-users to play a significant role in the efficiency, reliability, resilience, and sustainability of a power grid. This is made possible owing to the existence of storage devices and diversity of energy sources at the customer level and the advent of the Internet of Things . Social influences and psychological traits of consumers affect their behavior and decisionmaking. Consequently, there is a necessity to bring the influences of humans, organizations, and societies on the power system together through computational social science into a cyberphysical-social system. Hence, in this paper, we introduce our development of an artificial society of the social demand response of a power system, a well-known approach in computational sociology based on a bottom-up approach, starting from theory. We assume that consumers can engage in demand response to fulfill two aims: save their cost or enhance the sustainability of a power system. The literature concerning sustainability-based demand response is limited to only considering CO2, N OX , and SO2. In addition to N OX , and SO2, we examine the impact of power systems on water pollution, disability-adjusted loss of life year, and exergy in demand response, and provide an environomic-based social demand response. We show that when the level of satisfaction and cooperation of end-user is low, the marginal level of load shaving and improvement in sustainability cannot be fulfilled.

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Section: Model Propertymentioning

confidence: 99%

Environomic-Based Social Demand Response in Cyber-Physical-Social Power Systems

Valinejad

Mili

Wal

et al. 2022

IEEE Trans. Circuits Syst. II

Self Cite

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“…The investment cost is presented in Equation ( 5). [2] and [13] are good references about boilers models.…”

Section: Boiler Modelmentioning

confidence: 99%

“…The investment cost is presented in Equation (). [2] and [13] are good references about boilers models.

\begin{matrix} true \\ left I O C^{B o i l e r} = \sum_{f} C A P_{f}^{B o i l e r} \times ({}, \frac{P r i^{B o i l e r}}{α^{B o i l e r}} + O & M_{f}^{B o i l e r}) \\ left + F U E_{f}^{B o i l e r} \forall f \in F \end{matrix}

…”

Section: Problem Formulationmentioning

confidence: 99%

Optimal investment and operation of a microgrid to provide electricity and heat

Angarita

Jafari

Mohseni

et al. 2021

IET Renewable Power Gen

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This paper proposes a robust investment and operation model to attend the power and heat needs of a microgrid (MG) connected to the distribution system. The optimization algorithm decides on the best investment and operation of combined heat and power (CHP), boilers, PV power generation and battery energy storage systems (BESS). For the BESS, the algorithm estimates the optimal energy storage capacity (MWh) as well as the maximum hourly delivery capacity (MW). The non-linear and non-concave heat rate chart is recast by a mix-integer linear model to have a tractable and precise model. The model considers the uncertain in some parameters using probability density function (pdf) to portrait its behavior. Thus, the problem has been modeled using stochastic programming approach, and its objective function is the expected value of the annual operational cost. The model is tested using a real case where two adjacent consumers share the power and heat facilities to minimize the overall up to 17% depending on the gas price scenario. The results demonstrate the benefits of employing different technologies and the synergies of all technologies operating together.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Recently, due to the high reliability, and the growing penetration of the distributed energy resources systems (DERS) into the power systems [1][2][3], a new concept called microgrid, which attracted a variety of researchers has been introduced [4,5]. A microgrid which can be explained as a low-voltage network with loads and different small-scale production systems can generate the demanded heat and power of the local loads.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm

et al. 2021

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Microgrids are new technologies for integrating renewable energies into power systems. Optimal operation of renewable energy sources in standalone micro-grids is an intensive task due to the continuous variation of their output powers and intermittant nature. This work addresses the optimum operation of an independent microgrid considering the demand response program (DRP). An energy management model with two different scenarios has been proposed to minimize the costs of operation and emissions. Interruptible/curtailable loads are considered in DRPs. Besides, due to the growing concern of the developing efficient optimization methods and algorithms in line with the increasing needs of microgrids, the focus of this study is on using the whale meta-heuristic algorithm for operation management of microgrids. The findings indicate that the whale optimization algorithm outperforms the other known algorithms such as imperialist competitive and genetic algorithms, as well as particle swarm optimization. Furthermore, the results show that the use of DRPS has a significant impact on the costs of operation and emissions.

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Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Cited by 31 publications

References 39 publications

Environomic-Based Social Demand Response in Cyber-Physical-Social Power Systems

Environomic-Based Social Demand Response in Cyber-Physical-Social Power Systems

Optimal investment and operation of a microgrid to provide electricity and heat

Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm

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