Evaluation of loss minimization on the energy management of multi-microgrid based smart distribution network in the presence of emission constraints and clean productions

Aghdam, Farid Hamzeh; Ghaemi, Sina; Kalantari, Navid

doi:10.1016/j.jclepro.2018.06.023

Cited by 73 publications

(62 citation statements)

References 36 publications

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“…Equation 24indicates the net complex power injected to bus #i . Equations (25) and (26) illustrate the steady-state active and reactive power flows. Equation (27) demonstrates the relationship between the voltages of two nodes and the power flow through their respective line, in which U i,j is a supplementary variable indicating the voltage drop according to switching actions and system topology which is zero in case of closed switches as in Equation 29and otherwise has an adequate amount.…”

Section: First Step: Mg Local Energy Managementmentioning

confidence: 99%

“…The proposed method is a momentary power dispatch without contemplating the effect of time and energy storages in the operational costs. In [26], stochastic energy management for an MMG system in presence of clean productions has been proposed. The effect of the presence of microgrids on the stability and reliability indices of the system has not been evaluated.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reconfiguration-based hierarchical energy management in multimicrogrid systems considering power losses, reliability index, and voltage enhancement

Aghdam¹,

Kalantari²,

Ravadanegh³

2020

Turk J Elec Eng & Comp Sci

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This paper presents a reconfiguration-based hierarchical energy management for interconnected microgrids known as multimicrogrid system. The goal is to minimize the operational costs of different entities alongside with finding the best topology to minimize the active power loss, enhance reliability index, and improve the voltage level. The distribution network (DN) includes several dispatchable and undispatchable distributed energy resources, energy storage devices, and multiple microgrids (MGs). The first layer of the optimization process is executed by each MG operator and each MG performs local energy management. Each MG operator informs the DN operator about its optimal schedules. Finally, global energy management with reconfiguration in the network topology is done by the DN operator. The energy management problem is modeled as a mixed-integer nonlinear programming problem. Simulations on a modified IEEE 33-bus distribution test system with multiple MGs is performed in GAMS environment.

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Section: First Step: Mg Local Energy Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reconfiguration-based hierarchical energy management in multimicrogrid systems considering power losses, reliability index, and voltage enhancement

Aghdam¹,

Kalantari²,

Ravadanegh³

2020

Turk J Elec Eng & Comp Sci

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“…In this paper, authors have avoided to consider the power flow constraints. In [21], an EMS for the MMG system considering active power losses in the optimisation process has been suggested. Disregarding the risks and non-linear model could be encountered as the drawbacks of the paper.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk aversion energy management in the networked microgrids with presence of renewable generation using decentralised optimisation approach

Ghaemi

Salehi

Aghdam

2019

IET Renewable Power Generation

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Energy management problem is regarded as an important subject in the networked microgrids (MGs) based distribution system, where each entity possesses individual objectives. In this study, risk aversion energy management has been proposed for each MG and the distribution network (DN) in order to assess risks associated with uncertain sources. Conditional value at risk technique is utilised for including variability of profit to the objective function. In addition, this study investigates usefulness of possibility of power trading among MGs. For this aim, separate power line is considered between two different MGs besides of their power lines with DN. Power flow constraints are implemented to energy management formulation of each MG and DN as well. The proposed energy management problem is expressed based on stochastic linear programming. In this study, auxiliary problem principle decentralised approach is utilised to solve the optimisation problem in order to consider computer hardware limitations and privacy constraints. The recommended energy management approach has been applied to the IEEE 33-bus DN which is modified by MGs. Then, the effectiveness of providing power link between each two different MGs on the obtained profit has been evaluated under the both islanded and grid-connected modes of operation and various risk aversion parameter of entities.

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“…In other words, in this paper, rather than proposing a completely new method, the author's aim is to show that, for different criteria and taking into account a specific objective function for each of the players, users of the proposed structure can make the correct decision in choosing a method. Calculation of MCP [8,11], [16,22], [29][30][31][32]…”

Section: The Structure Of Proposed Algorithmmentioning

confidence: 99%

“…Combining H-MGs together to create a local structure allows each H-MG to form a coalition and thereby share the power demand and supply in a co-ordinated manner [7][8][9][10]. This coalition will increase the productivity of renewable equipment along with load response, reliability and, most importantly, energy independence, all of which ultimately reduce the production of pollutants derived from generation units based on fossil fuels [11]. Although electrical energy management strategies with distributed energy resources and ES system at the H-MG level have been extensively studied, there are few studies about neighboring and the local interactions.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Demand Response Programs on Reducing the Emissions and Cost of A Neighborhood Home Microgrid

et al. 2019

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The desire to increase energy efficiency and reliability of power grids, along with the need for reducing carbon emissions has led to increasing the utilization of Home Micro-grids (H-MGs). In this context, the issue of economic emission dispatch is worthy of consideration, with a view to controlling generation costs and reducing environmental pollution. This paper presents a multi-objective energy management system, with a structure based on demand response (DR) and dynamic pricing (DP). The proposed energy management system (EMS), in addition to decreasing the market clearing price (MCP) and increasing producer profits, has focused on reducing the level of generation units emissions, as well as enhancing utilization of renewable energy units through the DR programs. As a consequence of the nonlinear and discrete nature of the H-MGs, metaheuristic algorithms are applied to find the best possible solution. Moreover, due to the presence of generation units, the Taguchi orthogonal array testing (TOAT) method has been utilized to investigate the uncertainty regarding generation units. In the problem being considered, each H-MG interacts with each other and can negotiate based on their own strategies (reduction of cost or pollution). The obtained results indicate the efficiency of the proposed algorithm, a decrease in emissions and an increase in the profit achieved by each H-MG, by 37% and 10%, respectively.

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Evaluation of loss minimization on the energy management of multi-microgrid based smart distribution network in the presence of emission constraints and clean productions

Cited by 73 publications

References 36 publications

Reconfiguration-based hierarchical energy management in multimicrogrid systems considering power losses, reliability index, and voltage enhancement

Reconfiguration-based hierarchical energy management in multimicrogrid systems considering power losses, reliability index, and voltage enhancement

Risk aversion energy management in the networked microgrids with presence of renewable generation using decentralised optimisation approach

The Impact of Demand Response Programs on Reducing the Emissions and Cost of A Neighborhood Home Microgrid

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