Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands

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The ongoing development of technology has changed the nature of electric networks in the field of electric power generation. In the same vein, the generation units and demands are getting close by the integration of distributed resources within the distribution system with the aim of bringing more advantages to the system. Considering the promising concept of hybrid networks, which comprises different distributed resources, as a supportive element for the power system, this paper mainly focuses on modeling a distributed hybrid network, through which both the AC and DC loads can be supplied within the hybrid network. This network is operated in a distributed way where no independent operator is assumed for the operation. The primal-dual method of multipliers (PDMM) as an effective distributed method handles the operation of this network. So far, this method has only been applied to the AC grid or DC grid separately, while the presented method is modified for the operation of the hybrid network. Convergence speed and preciseness are mentioned as the advantages of this method which dominates the alternating direction method of multipliers (ADMM). In real cases, there are some errors in the output power of the renewable resources. Aiming to make the presented PDMM method more applicable, the uncertainty is also modelled using the Unscented Transform (UT) approach, as a way of uncertainty modelling which has shown attractive features, especially the capability of correlation modelling; therefore, it is more preferable for uncertainty modeling in many cases compared to the other methods. The proposed work is implemented on a smart island and the authenticity of this work is proved by comparing the performance of the proposed distributed approach with the centralized method.

Section: ) Hub Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards Energy Management Negotiation Between Distributed AC/DC Networks

Mohamed

Abdullah²,

Al-Sumaiti

et al. 2020

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“…In this paper, EVs are capable to drive in two different paths with different traffic jams to access to the MCSs [32]. Moreover, the charging/discharging energy transaction prices are extracted from [33,34]. Between two successive metro's arrival times, the EVs are allowed to get charged/discharged, since the storages at the MCSs are not capable of being charged/discharged, simultaneously.…”

Section: Table III Specifications Of the Evs Fleets In Smart Citymentioning

confidence: 99%

“…models the natural-gas power balance of EH input. The EH's energy conversion constraints is represented in (31)-(33).…”

mentioning

confidence: 99%

Optimal Scheduling and Management of a Smart City Within the Safe Framework

Duan

Quynh

Abdullah³

et al. 2020

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“…This is also important from the independent system operator (ISO) point of view since it can be used as an effective ancillary service to the main grids [6]. According to the IEEE-1547.4 protocol [7], the idea of breaking down the power grid into several sub-grids can enhance the scalability, efficiency and reliability. It means that this protocol advocates the idea of interconnected microgrids compared to the other types of power delivery at the transmission and distribution scales [8].…”

Section: Introductionmentioning

confidence: 99%

A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids

Yin¹,

Hajjiah

Jermsittiparsert³

et al. 2021

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Optimal scheduling of reconfigurable interconnected microgrids is a precious and critical task for the residential consumers especially with the integration of renewable energy sources, dispatchable units and energy storage systems. In this regard, not only the optimal scheduling of the microgrids in a realistic and correlated environment is a necessity, but also the guarantied security and the prevention of cyber-attacks are mandatory tasks for the operators. This article first addresses these issues by developing a novel framework based on blockchain for secured data transaction from the individual microgrids' components to the central control unit and then tries to find the optimal scheduling plan using stochastic programming based on point estimate method (PEM). Through such a hybrid PEM-blockchain based framework, the interconnected microgrids can supply the residential loads in a fully reliable, economic and secured structure. We also consider a social-economic framework to not only minimize the total operating cost of the microgrids, but also benefit the customers by enhancing the social factors through the optimal switching. Considering the complex and nonlinear nature of the problem, an effective corrected crow search (CCS) algorithm is deployed to find the most optimal operating point for the microgrids. The quality and capabilities of the proposed model are investigated using a practical residential interconnected microgrid. The results show that the optimal switching could reduce the total operation cost from $22,716 to $21,935 (3.56% reduction). Also, the average energy not supplied (AENS) has reduced from 1.4115 to 1.352 kWh/customer.yr (4.40% reduction), which are notable values. The results advocate the quality and functionality of the proposed framework.