Robust Optimal Operation of AC/DC Hybrid Microgrids Under Market Price Uncertainties

Hussain, Akhtar; Bui, Van-Hai; Kim, Hak-Man

doi:10.1109/access.2017.2784834

Cited by 73 publications

(36 citation statements)

References 33 publications

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“…The configuration of the islanded microgrid network considered in this study is shown in Figure 1. Due to the merits of AC/DC hybrid microgrids, as highlighted in [21][22][23], a network of AC/DC hybrid microgrid is considered in this study. Both AC and DC microgrids contain controllable distributed generators (CDGs), renewable distributed generators (RDGs), battery energy storage system (BESS), and loads.…”

Section: Network Configurationmentioning

confidence: 99%

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Impact Analysis of Survivability-Oriented Demand Response on Islanded Operation of Networked Microgrids with High Penetration of Renewables

2019

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Microgrids have the potential to withstand the power outages due to their ability of islanding and potential to sustain the penetration of renewables. Increased penetration of renewables can be beneficial but it may result in curtailment of renewables during peak generation intervals due to the limited availability of storage capacity while shedding loads during peak load intervals. This problem can be solved by adjusting the load profiles, i.e., demand response (DR) programs. In contrast to the existing studies, where DR is triggered by market price signals, a local resource-triggered survivability-oriented demand response program is proposed in this paper. The proposed DR program is triggered by renewable and load level of the microgrid with an objective to minimize the load shedding and curtailment of renewables. The uncertainties in load and renewables are realized via a robust optimization method and the worst-case scenario is considered. The performance of the proposed method is compared with two conventional operation cases, i.e., independent operation case and interconnected operation case without DR. In addition, the impact of renewable penetration level, amount of shiftable load, and load absorption capacity on the performance of the proposed method are also analyzed. Simulation results have proved the proposed method is capable of reducing load shedding, renewable curtailment, and operation cost of the network during emergencies.

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Section: Network Configurationmentioning

confidence: 99%

“…The net load amount shifted from other time intervals (t ) to time interval t should be lesser than or equal to the net non-critical load, as given by Equation (22). The net non-critical load on X-side microgrid at t can be computed using Equation (23).…”

Section: Demand Response Constraintsmentioning

confidence: 99%

Impact Analysis of Survivability-Oriented Demand Response on Islanded Operation of Networked Microgrids with High Penetration of Renewables

2019

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“…The uncertainties in price can nullify the benefits of local energy trading operation. In this regard, uncertainties in market price, as well as renewable generation was analyzed in Reference [35] to evaluate the impact on power transfer and generator dispatch in AC/DC hybrid microgrid and a mixed integer optimization problem is solved to obtain the pricing.…”

Section: Introductionmentioning

confidence: 99%

A New Pricing Scheme for Intra-Microgrid and Inter-Microgrid Local Energy Trading

Islam

2019

Electronics

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In this paper, an optimum pricing scheme has been designed to maximize the profits earned by sellers in microgrids through intra-microgrid and inter-microgrid local energy trading. The pricing function is optimized for different priority groups of participants within the microgrid and it is represented as a linear function of the energy sold/purchased during energy trading. A non-linear optimization problem has been formulated to optimize the amount of energy sold, as well as the coefficients of pricing function with an objective to maximize the profit for the sellers at a certain time instant. The numerical simulation results demonstrate that the proposed approach can reduce energy mismatch at the participants compared to the case when different priority groups are not considered. The findings also illustrate that the optimum pricing function can achieve higher profit for the sellers when compared with existing pricing schemes.

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“…A kind of robust energy management strategy based on fuzzy prediction is proposed in [11], i.e., the data obtained from fuzzy prediction is used to complete the energy management. A robust optimization management strategy considering price uncertainty and demand side response was proposed in [12]. In [13], a demand-based robust energy management strategy was proposed for the MG with a high proportion of renewable energy penetration.…”

mentioning

confidence: 99%

“…In [18] and [19], the corresponding robust energy management strategies were proposed for the possible multi-period attacks and natural disasters in MG. It can be seen from the analysis of literature [11][12][13][14][15][16][17][18][19] that the problem to be solved in robust optimization is the uncertainty in energy management. In fact, the BESS can effectively solve the problem of uncertainty and volatility for PV power generation output.…”

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confidence: 99%

The Integrated Design of a Novel Secondary Control and Robust Optimal Energy Management for Photovoltaic-Storage System Considering Generation Uncertainty

Sun

Zhao

et al. 2020

Electronics

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Due to the generation uncertainty of photovoltaic (PV) power generation, it has been posing great challenges and difficulties in maintaining the stability, security, and reliability of PV-storage systems (one kind of microgrid). To overcome these challenges and difficulties, this paper is concerned with secondary control and robust energy management for PVs in a grid-connected microgrid (MG) considering uncertainty. In our designs, to maintain the stable operation of PVs in MG, a novel secondary control method combining an event-triggered finite time sliding mode controller (FTSMC) and consensus controllers is proposed. Furthermore, a robust optimization framework is established to minimize the total cost of grid-connected MG involving the operation cost of multi-battery Energy Storage Systems (BESSes) and the electricity purchased from the main grid. To eliminate the effects of PV uncertainty, the optimization problem with uncertain constraints is converted into a new optimization problem with only deterministic constraints by using the box theory to represent the PV outputs. In other words, the robust optimization strategy makes uncertain boundaries easier to be represented by setting all uncertain parameters into an uncertain domain involving all typical extreme cases. Then, a particle swarm optimization (PSO) method is employed to solve the newly converted optimization problem. Finally, the experimental results validate the effectiveness of the proposed integrated framework.

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Robust Optimal Operation of AC/DC Hybrid Microgrids Under Market Price Uncertainties

Cited by 73 publications

References 33 publications

Impact Analysis of Survivability-Oriented Demand Response on Islanded Operation of Networked Microgrids with High Penetration of Renewables

Impact Analysis of Survivability-Oriented Demand Response on Islanded Operation of Networked Microgrids with High Penetration of Renewables

A New Pricing Scheme for Intra-Microgrid and Inter-Microgrid Local Energy Trading

The Integrated Design of a Novel Secondary Control and Robust Optimal Energy Management for Photovoltaic-Storage System Considering Generation Uncertainty

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