Robust Optimal Energy Pricing and Dispatch for a Multi-Microgrid Industrial Park Operating Based on Just-In-Time Strategy

Choobineh, Moein; Mohagheghi, Salman

doi:10.1109/tia.2019.2903182

Cited by 26 publications

(14 citation statements)

References 36 publications

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“…Note that, the variables (π P + π Mean ), (π P + π k,i B ), (π P + π k,i S ), , , and , , are positive, and both the conditions in (13) and (14) are true, then (11) can be satisfied and thus (10) is also satisfied. This strategy allows the independent calculations of the BESS's charging and discharging power limits on the basis of corresponding efficiencies.…”

Section: Energy Storage Efficiencymentioning

confidence: 99%

“…If the efficiencies associated with the BESS are to be taken as constant, (13) and (14) would suffice for determining the charging and discharging decisions on the basis of round-trip efficiency and energy price. However, in this paper, BESS efficiencies are modeled as a function of charging and discharging powers, in terms of the corresponding I 2 R losses.…”

Section: Energy Storage Efficiencymentioning

confidence: 99%

“…The charging power limit of the BESS for the scenario in hour is derived on the basis of the efficiency losses by substituting (17) into (13) such that:…”

Section: Energy Storage Charging and Discharging Power Limitsmentioning

confidence: 99%

“…In RO, predefined uncertainty margins for the intermittent variables are used to stay at the safer side during real-time operation. In [13], a multi-objective RO is used for the energy management of multi-microgrid industrial park, where the collective profit of microgrids is maximized, while protecting the system against any unforeseen disturbance in the forecast of uncertain parameters. In [14], an adaptive RO approach is used for the energy management of industrial multi-energy micro-grids in different timescales.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids Under Uncertainty of Renewable Energy

Mohy-ud-din

Vu²,

Muttaqi

et al. 2020

IEEE Trans. on Ind. Applicat.

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© 1972-2012 IEEE. Many modern industries are equipped with onsite renewable generation and are normally connected to the grid. A battery energy storage system (BESS) can complement the intermittency of the available onsite renewable generation. The combination of the BESS and the renewable generation can operate as a microgrid. If the microgrid is properly sized and managed, it is possible to reduce the electricity bill to have a huge saving in the electricity cost. This article proposes an energy management system for such an industrial microgrids. The decisions to charge and discharge the BESS in the proposed energy management are usually constrained by the size of the energy storage. The proposed energy management strategy aims to optimize the operation of the industrial microgrids subject to the scalability of the BESS under uncertainties. The proposed optimization involves two stages. In the first stage of optimization, it determines the optimum size of the energy storage taking into account the cost of the BESS, and in the second stage, it minimizes the cost of the microgrid operation based on the decision made in the first stage. This proposed two-stage energy management strategy is formulated as a single-stage linear program that incorporates stochastic scenarios for addressing uncertainties. In addition, the proposed strategy also considers the various operating limits of the energy storage, such as the efficiency and the charging and the discharging rates, and considers the fading effect of the batteries of the BESS. The proposed strategy is then validated using two typical datasets from two different industrial units in New South Wales, Australia. The simulation results show that the proposed strategy 1 Abstract-Many modern industries are equipped with on-site renewable generation and are normally connected to the grid. A battery energy storage system (BESS) can complement the intermittency of the available on-site renewable generation. The combination of the BESS and the renewable generation can operate as a microgrid. If the microgrid is properly sized and managed, it is possible to reduce the electricity bill to have a huge saving in the electricity cost. This paper proposes an energy management system for such an industrial microgrids. The decisions to charge and discharge the BESS in the proposed energy management are usually constrained by the size of the energy storage. The proposed energy management strategy aims to optimize the operation of the industrial microgrids subject to the scalability of the BESS under uncertainties. The proposed optimization involves two stages. In the first stage of optimization, it determines the optimum size of the energy storage taking into account the cost of the BESS, and in the second stage, it minimizes the cost of the microgrid operation based on the decision made in the first stage. This proposed two-stage energy management strategy is formulated as a single stage linear program that incorporates stochastic scenarios for addressing uncertainties. In addition...

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Section: Energy Storage Efficiencymentioning

confidence: 99%

Section: Energy Storage Efficiencymentioning

confidence: 99%

“…The charging power limit of the BESS for the scenario in hour is derived on the basis of the efficiency losses by substituting (17) into (13) such that:…”

Section: Energy Storage Charging and Discharging Power Limitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids Under Uncertainty of Renewable Energy

Mohy-ud-din

Vu²,

Muttaqi

et al. 2020

IEEE Trans. on Ind. Applicat.

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show abstract

“…As the pace of the current energy transition continues to increase rapidly, demand for clean energy supply, policy support for renewable energy, reduced technology costs, and high penetrations of variable generation pose new challenges to the reliable operation of the electric grid [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Estimation of solar photovoltaic energy curtailment due to volt–watt control

Emmanuel

Giraldez

Gotseff

et al. 2020

IET Renewable Power Generation

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The widespread deployment of autonomous inverter-based solutions for mitigating voltage and frequency excursions caused by high-penetration photovoltaic (PV) systems has drawn increased attention due to their potential impact on PV production. It is now important to quantify the amount of solar energy curtailed as a result of the activation of inverter-based grid support functions (GSFs). This study proposes a methodology for estimating the impact of volt-watt on customer PV energy curtailment using smart meter voltage data. This method estimates maximum possible curtailment for a given volt-watt curve based on the customer smart meter voltage during the time period of interest. This study compares the proposed methodology with field measurements using irradiance and customer inverter data from Hawaii as well as with results from a previous simulation-driven study on the impact of advanced inverter GSF activation on PV energy curtailment. Results show that the proposed method for estimating lost PV production caused by volt-watt control aligns reasonably well with field measurements and computer simulations for hundreds of customers. The proposed method could be used to estimate customer energy curtailment, which could inform future compensation mechanisms for utilities leveraging customer-sited resources to mitigate high voltage and defer infrastructure upgrades.

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A review of system modeling, assessment and operational optimization for integrated energy systems

Zhao

Chen

Wang

et al. 2021

Sci. China Inf. Sci.

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Robust Optimal Energy Pricing and Dispatch for a Multi-Microgrid Industrial Park Operating Based on Just-In-Time Strategy

Cited by 26 publications

References 36 publications

An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids Under Uncertainty of Renewable Energy

An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids Under Uncertainty of Renewable Energy

Estimation of solar photovoltaic energy curtailment due to volt–watt control

A review of system modeling, assessment and operational optimization for integrated energy systems

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