A contingency based energy management strategy for multi-microgrids considering battery energy storage systems and electric vehicles

Afrakhte, Hossein; Bayat, Peyman

doi:10.1016/j.est.2019.101087

Cited by 40 publications

(9 citation statements)

References 45 publications

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“…Furthermore, participating behavior, namely load shifting, load transfer, and load rebound is an essential factor for amending the reliability and feasibility of dispatching DR sources in MG operation. The potential and applicability of DR programs to MGs is yet another interesting research area, particularly in terms of peak consumed load demand minimization [81], pollution reduction [82], energy costs [83], and reliability improvement [84].…”

Section: Literature Reviewmentioning

confidence: 99%

Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program

et al. 2021

Energies

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The optimal planning of grid-connected microgrids (MGs) has been extensively studied in recent years. While most of the previous studies have used fixed or time-of-use (TOU) prices for the optimal sizing of MGs, this work introduces real-time pricing (RTP) for implementing a demand response (DR) program according to the national grid prices of Iran. In addition to the long-term planning of MG, the day-ahead operation of MG is also analyzed to get a better understanding of the DR program for daily electricity dispatch. For this purpose, four different days corresponding to the four seasons are selected for further analysis. In addition, various impacts of the proposed DR program on the MG planning results, including sizing and best configuration, net present cost (NPC) and cost of energy (COE), and emission generation by the utility grid, are investigated. The optimization results show that the implementation of the DR program has a positive impact on the technical, economic, and environmental aspects of MG. The NPC and COE are reduced by about USD 3700 and USD 0.0025/kWh, respectively. The component size is also reduced, resulting in a reduction in the initial cost. Carbon emissions are also reduced by 185 kg/year.

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Section: Literature Reviewmentioning

confidence: 99%

Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program

et al. 2021

Energies

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“…The optimization problem was solved in the targeted search shuffled complex algorithm in MATLAB using a variable weighted multi-objective function. Results demonstrated that the CPU time with the proposed technique decreased significantly as compared with the results solved through GAMS [36]. Seifi et al proposed an EMS for a residential building using grey wolf and shark smell algorithms to converge to the global minima.…”

Section: Introductionmentioning

confidence: 99%

Risk-Averse Home Energy Management System

Ali

Malik

Raza³

2020

IEEE Access

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Transformation of conventional energy systems into smart grids enables the integration of residential buildings with distributed generations, electro-thermal storages and demand response policies. Further, it improves the household comfort level and helps to preserve the ecological system. Keeping in view the techno-financial impact of residential energy management, optimal handling of residential customers may prove meaningful for peak load reduction, valley filling, and energy conservation. In this regard, this paper devises a residential energy management system (EMS) to optimally schedule appliances, energy sources and electro-thermal storage for reduction of consumption cost and greenhouse (GHG) emissions. Building integrates national grid, natural gas network and solar energy as input carriers, whereas, electricity, heat and cooling as output carriers. To resolve the risk of loss of load, conditional value at risk (CVaR) has been incorporated in the objective function. Comparison demonstrates that under risk-averse approach, energy retaining capability of electric vehicle and thermal energy storage increases by 28.56% and 53.34%, respectively. This stored energy acts as a reserve during absence of solar irradiance and outages on electric and natural gas networks. Moreover, to make EMS more efficient in tracking optimum solutions with faster convergence speed, a hybrid algorithm has been devised by concatenating the modified flower pollination algorithm with mixed-integer linear programming. The proposed algorithm has been validated by comparing its results with the Salp Swarm Algorithm, Grasshopper Optimization Algorithm, Polar Bear Algorithm, Coyote Optimization and Two Cored Flower Pollination Algorithm (FPA). Results manifest that the cost, GHG emissions and execution time drop by 8.98%, 10.81% and 35.064%, respectively. INDEX TERMS Demand response, energy management, residential buildings, smart grids, stochastic model.

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“…In residential microgrids (MG), the generation and storage of energy is mostly limited to each MG, therefore by a larger grid of these grid-tied interconnected microgrids is referred as multi-microgrids (MMS) [5] or networked microgrids NMGs. The microgrids involved in an MMS may collaborate with each other on a centralized or decentralized manner in order to allocate resources and coordinate the operation of individual MGs, [6].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-based power exchange management between grid-tied interconnected residential microgrids

et al. 2020

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This paper presents a fuzzy-based power exchange management between two neighboring residential grid-connected microgrids comprising both photovoltaic generation and battery energy storage system (BESS). The proposed power exchange management accounts for the magnitude of the energy rate-of-change of each microgrid and the charge difference between the BESSs of both microgrids to charge the ESS that has an energy deficit. As such, the proposed power exchange management can reduce the amount of power absorbed from the mains of each microgrid by operating jointly with each other rather than separately, and it also synchronizes the ESS of both microgrids, improving the behavior of ESSs. A comparison of the simulated results for a scenario with and without power exchange is presented in order to demonstrate the adequate behavior of the proposed power exchange management.

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A contingency based energy management strategy for multi-microgrids considering battery energy storage systems and electric vehicles

Cited by 40 publications

References 45 publications

Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program

Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program

Risk-Averse Home Energy Management System

Fuzzy-based power exchange management between grid-tied interconnected residential microgrids

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