Multi-objective optimal operation of hybrid AC/DC microgrid considering source-network-load coordination

Li, Peng; Zheng, Miaomiao

doi:10.1007/s40565-019-0536-3

Cited by 21 publications

(14 citation statements)

References 34 publications

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“…Therefore, getting lines out of reach causes non-optimal alteration in the power generated by these units. Keeping this in mind, relations (5) and (6) show the vulnerability value of the generation unit u when the contingency related to the line k outage occurs. Looking at (5), once a fault in the grid occurs, if the generator power increases up to a normal level, then the generator's performance is vulnerable to the outage of line k. Therefore, evaluating the vulnerability of generators is dependent on the active power generation, with an emphasis on their max/min limitations of power.…”

Section: The Generation Unit Vulnerability Indicesmentioning

confidence: 99%

“…To this end, the proposed hybrid microgrids can be useful in the relaxation of the grid variables using the power transaction described in Equations ( 38) and (39), which leads to a remarkable diminution in the generators' power, along with a lowering of the flowing power and voltage value as described in Equations ( 40) and (41). This results in the reduction of the vulnerability percentage while taking into account Equations ( 1), (3), (5), and (6). In sum, the proposed model comprises the objective function (32), (33), and (13) and the relevant constraints defined by equations (19) to (31) and (34) to (45).…”

Section: The Mathematical Formulation Of the Main Gridmentioning

confidence: 99%

“…This method takes into account a three-level problem separately consisting of the voltage source converter seating, DC microgrid, and AC microgrid. In [6], the objective functions of AC/DC microgrids are optimally satisfied based on an approach inspired by the multi-objective concept. The authors in [7] have aimed to minimize both the energy loss and total cost related to a hybrid microgrid with help of bi-level-based multi-objective management.…”

Section: Introductionmentioning

confidence: 99%

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An Effective Hybrid-Energy Framework for Grid Vulnerability Alleviation under Cyber-Stealthy Intrusions

et al. 2022

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In recent years, the occurrence of cascading failures and blackouts arising from cyber intrusions in the underlying configuration of power systems has increasingly highlighted the need for effective power management that is able to handle this issue properly. Moreover, the growing use of renewable energy resources demonstrates their irrefutable comparative usefulness in various areas of the grid, especially during cascading failures. This paper aims to first identify and eventually protect the vulnerable areas of these systems by developing a hybrid structure-based microgrid against malicious cyber-attacks. First, a well-set model of system vulnerability indices is presented to indicate the generation unit to which the lines or buses are directly related. Indeed, we want to understand what percentage of the grid equipment, such as the lines, buses, and generators, are vulnerable to the outage of lines or generators arising from cyber-attacks. This can help us make timely decisions to deal with the reduction of the vulnerability indices in the best way possible. The fact is that employing sundry renewable resources in efficient areas of the grid can remarkably improve system vulnerability mitigation effectiveness. In this regard, this paper proposes an outstanding hybrid-energy framework of AC/DC microgrids made up of photovoltaic units, wind turbine units, tidal turbine units, and hydrogen-based fuel cell resources, all of which are in grid-connect mode via the main grid, with the aim to reduce the percentage of the system that is vulnerable. To clearly demonstrate the proposed solution’s effectiveness and ease of use in the framework, a cyber-attack of the false data injection (FDI) type is modeled and developed on the studied system to corrupt information (for instance, via settings on protective devices), leading to cascading failures or large-scale blackouts. Another key factor that can have a profound impact on the unerring vulnerability analysis concerns the uncertainty parameters that are modeled by the unscented transform (UT) in this study. From the results, it can be inferred that vulnerability percentage mitigation can be achieved by the proposed hybrid energy framework based on its effectiveness in the system against the modeled cyber-attacks.

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Section: The Generation Unit Vulnerability Indicesmentioning

confidence: 99%

Section: The Mathematical Formulation Of the Main Gridmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Effective Hybrid-Energy Framework for Grid Vulnerability Alleviation under Cyber-Stealthy Intrusions

et al. 2022

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“…This approach hierarchically covers three-level including DC microgrid, voltage source converter (VSC) stations and AC microgrids. In reference [6], a multiobjective optimization problem is presented which pursues two optimization objectives for the optimal operation of hybrid AC/DC microgrid. In [7], a two-step energy management process is proposed for AC/DC hybrid distribution network, which is considered as a multi-objective optimization problem for minimizing both the operation cost and energy loss.…”

Section: Introductionmentioning

confidence: 99%

Towards Energy Management Negotiation Between Distributed AC/DC Networks

Mohamed

Abdullah²,

Al-Sumaiti

et al. 2020

IEEE Access

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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.

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“…Memetic algorithm has also been proposed in Ref. [18] for its separated local and global iterative process which guarantees convergence accuracy. Mixed Integer Linear Programming is another popular technique -it involves the use of some linearisation approach to convert the nonlinear models into linear models [11], [12], [19].…”

Section: Introductionmentioning

confidence: 99%

Smart Control of an Electric Vehicle for Ancillary Service in DC Microgrid

Nduka

Pal

2020

IEEE Access

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This paper presents a two-stage framework for optimal Electric Vehicle (EV) charging/discharging strategy for DC Microgrid (MG) with Distributed Generators (DGs). A multi-objective optimisation task aimed at minimising system losses and EV battery degradation with Vehicle-to-Grid (V2G) peak shaving service has been realised. This coordinated EV integration into the DCMG was formulated as a directed weighted single source shortest path problem that was solved using a modified Dijkstra's algorithm. The weights of the edges were obtained using primal-dual interior point method. The proposed framework has been experimentally verified using simulations with a test DCMG system with practical IEEE European low voltage test feeder load profiles. Results show realisation of peak demand shaving leveraging on EV discharge with minimal on-board battery degradation as well as reduced system losses. It is also shown that the proposed two-stage framework reduces the battery state of charge (SOC) sample space requirements in the analysis, thus, reducing the computational burden.

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Multi-objective optimal operation of hybrid AC/DC microgrid considering source-network-load coordination

Cited by 21 publications

References 34 publications

An Effective Hybrid-Energy Framework for Grid Vulnerability Alleviation under Cyber-Stealthy Intrusions

An Effective Hybrid-Energy Framework for Grid Vulnerability Alleviation under Cyber-Stealthy Intrusions

Towards Energy Management Negotiation Between Distributed AC/DC Networks

Smart Control of an Electric Vehicle for Ancillary Service in DC Microgrid

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