Use a New Method to Solve the Economic Dispatch Problem of Smart MicroGrid Including Distributed Generation

Liao, Gwo-Ching; Tsai, Jong-Ian

doi:10.1109/appeec.2012.6307136

Cited by 10 publications

(5 citation statements)

References 25 publications

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“…If losses are ignored as in (4), the stored energy is overestimated and soon falls below its limit. Equation (9) also ensures that the LP algorithm does not view tranfering energy into and out of storage as "free" since some energy is lost. For constraints (8) and (9) to correctly represent the physical microgrid, it is required that P sout P sout P sout and P sin P sin P sin never be simultaneously non-zero.…”

Section: Conversion Loss Accountingmentioning

confidence: 98%

Look-ahead economic dispatch of microgrids with energy storage, using linear programming

Hoke

Brissette

Chandler

et al. 2013

2013 1st IEEE Conference on Technologies for Sustainability (SusTech)

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Microgrids can provide economic benefits, and those benefits can be maximized through intelligent control. This paper applies a fast and reliable linear programming (LP) approach to the economic dispatch of grid-tied microgrids containing any or all of the following resources: conventional generators, energy storage, demand response resources, and non-dispatchable resources (e.g. solar or wind). The proposed method minimizes the cost to operate the microgrid while meeting various resource constraints. Forecast load and renewable resource power profiles are used to generate linear constraints. Storage conversion losses, which can be much more significant in microgrids, are innovatively accounted for within LP using auxiliary variables. Non-linear constraints on the dispatchable resources are applied by preprocessing the input to LP and post-processing its output.

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Section: Conversion Loss Accountingmentioning

confidence: 98%

Look-ahead economic dispatch of microgrids with energy storage, using linear programming

Hoke

Brissette

Chandler

et al. 2013

2013 1st IEEE Conference on Technologies for Sustainability (SusTech)

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“…The VSC is connected to an RL filter with a quality factor of 50. This filter is utilized to smooth the current I i flowing from the VSC into the microgrid [1], [24]. The VSC and filter compose the DER unit which connects to the microgrid bus via a 0.6/13.8 kV delta-wye step-up transformer [1].…”

Section: B Physical Microgrid Attributesmentioning

confidence: 99%

“…In this configuration, the branch consisting of the resistor R i represents predominantly resistive loads such as heaters, filaments, etc. The RL branch composed of resistor R li and inductor L i accounts for motor loads which constitute a wide proportion of loads in distribution feeders [24]. The final branch consisting of the capacitor C i captures stray capacitances, capacitive power factor correction devices and/or highly capacitive loads such as electrostatic precipitators.…”

Section: B Physical Microgrid Attributesmentioning

confidence: 99%

Optimal Decentralized Microgrid Coordination via the Schur’s Complement and S-Procedure

Mallick

Srikantha

2020

IEEE Trans. Smart Grid

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The evolving landscape of the electricity sector along with increasing environmental concerns necessitate modern power grids to be more efficient, sustainable and adaptive. Microgrids are typically composed of distributed energy sources which have great potential for enabling energy independence, sustainability and flexibility. However, practical difficulties that deter the widespread deployment of microgrids include the unpredictability of local generation sources (e.g. renewables) and the lack of inertia that is naturally present in systems containing bulk synchronous plants. In this paper, we propose a near real-time microgrid coordination algorithm that allows actuating components to adapt to changing system conditions. We account for the electrical dependencies and limits in microgrid systems by constructing voltage/current balance relations in the dq0 frame and applying strategic decompositions to invoke the Schur's complement and S-procedure that allow for zero duality gap. We highlight the convergence, feasibility and scalability features of the proposed decentralized algorithm via theoretical and comparative practical simulation studies.

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“…In Liao et al [8] a model has been presented to solve the economic dispatch (ED) problem considering GHG emissions in a smart microgrid with distributed generation using the quantum genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic approach to describe greenhouse gas emissions and their impact in the operation of insular power systems

Lujano-Rojas

Osório

Catalào

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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Environmental problems related to the conventional generators have motivated governmental policies all over the world in order to incorporate alternative power sources to reduce greenhouse gas (GHG) emissions and fossil-fuel consumption. On the one hand, wind power generation can increase GHG emissions of the others conventional generators connected to the system. On the other hand, wind energy is characterized by its variability that imposes challenges in the operation of the power system. In order to integrate GHG emissions estimation and the uncertainty related to the wind power generation, a probabilistic point of view is presented in this paper to estimate the probability distribution function (PDF) of the GHG emissions of a typical insular power system. The PDF of power production of each conventional generator is calculated, and then the expected value of the total GHG emissions is estimated.

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Use a New Method to Solve the Economic Dispatch Problem of Smart MicroGrid Including Distributed Generation

Cited by 10 publications

References 25 publications

Look-ahead economic dispatch of microgrids with energy storage, using linear programming

Look-ahead economic dispatch of microgrids with energy storage, using linear programming

Optimal Decentralized Microgrid Coordination via the Schur’s Complement and S-Procedure

Probabilistic approach to describe greenhouse gas emissions and their impact in the operation of insular power systems

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