Multi-objective economic dispatch model for a microgrid considering reliability

Mao, Meiqin; Mei-hong, JI; Wei, Dong; Chang, Liuchen

doi:10.1109/pedg.2010.5545765

Cited by 44 publications

(22 citation statements)

References 4 publications

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“…Multitude researches have investigated the microgrid operation with various [4][5][6] distributed generations (DGs) Optimized coordinated power dispatch approach for a microgrid (MG) scheduling 7 Optimal method with high robustness for MG 8 Stochastic planning scheme for 24 h scheduling for an MG 9 Optimization method for reduction of whole expenditure in an MG 8 Multiobjective optimization methods by assuming expenditure, emission, etc 10,11 Multiobjective optimization for economic dispatch for microgrid with reliability 12 Management method for renewable sources 13 Hybrid-integer nonlinear approach for MG scheduling for achieving upper photovoltaic power 14 Smart power management of microgrid using artificial intelligence methods 15 Cost-effective combined heat and power dispatch with heat/energy reliance features [16][17][18][19] Demand response (DR) problem that can optimize the scheduling using optimization algorithm 20 DR program on stochastic power provided to big users by green resources 21,22 Other models [23][24][25] The considered MO optimization is handled in this work using an epsilon limitation approach. A fuzzy satisfying method is utilized for opting the best conciliation answer, and DRP is exerted to decrease the operation expenditure.…”

Section: Methods Referencementioning

confidence: 99%

New optimization method based on energy management in microgrids based on energy storage systems and combined heat and power

Zeng

Berti

2019

Computational Intelligence

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Microgrids can be assumed as a solution model for green energy sources, energy storage systems, and combined heat and power (CHP) systems. In this work, the cost and emission minimization based on a demand response (DR) program is considered an optimization problem. To solve the mentioned problem a new multiobjective optimization algorithm (improved particle swarm optimization) is proposed based on a fuzzy mechanism to select the optimal value. The microgrid system includes two CHP units, fuel cell and battery systems, and the heat buffer tank. In this problem, two different feasible operating regions have been assumed in CHPs. Accordingly, to decrease the operational cost, time‐of‐use, and real‐time pricing DR programs have been simulated, and the impacts of the mentioned models are evaluated overload profiles. The effectiveness of proposed models has been applied on different cases studies by different scenarios. The proposed model solved the DR program, time of use‐DR and real‐time pricing‐DR problems. The proposed model could reduce the cost about 10%.

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Section: Methods Referencementioning

confidence: 99%

New optimization method based on energy management in microgrids based on energy storage systems and combined heat and power

Zeng

Berti

2019

Computational Intelligence

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“…The constraints on SOC of storage battery are expressed as, 1165 where and are minimum and maximum BES capacity limits, respectively. The , can be expressed as [28],…”

Section: Modeling Of Battery Energy Storage (Bes) Systemmentioning

confidence: 99%

Optimal operation management of grid-connected microgrids under uncertainty

Salkuti

2019

IJEECS

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<span>This paper proposes a new optimal operation of Microgrids (MGs) in a distribution system with wind energy generators (WEGs), solar photovoltaic (PV) energy systems, battery energy storage (BES) systems, electric vehicles (EVs) and demand response (DR). To reduce the fluctuations of wind, solar PV powers and load demands, the BES systems and DR are utilized in the proposed hybrid system. The detailed modeling of WEGs, solar PV units, load demands, BES systems and EVs has been presented in this paper. The objective considered here is the minimization of total operating cost of microgrid, and it is formulated by considering the cost of power exchange between the main power grid and microgrid, cost of wind and solar PV energy systems, cost of BES systems, EVs and the cost due to the DR in the system. Simulations are performed on a test microgrid, and they are implemented using GAMS software. Various case studies are performed with and without considering the proposed hybrid system.</span>

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“…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. Otherwise the LP solver would be free to find a solution requiring power to simultaneously enter and leave the storage unit, which is not physically possible.…”

Section: Conversion Loss Accountingmentioning

confidence: 99%

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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Multi-objective economic dispatch model for a microgrid considering reliability

Cited by 44 publications

References 4 publications

New optimization method based on energy management in microgrids based on energy storage systems and combined heat and power

New optimization method based on energy management in microgrids based on energy storage systems and combined heat and power

Optimal operation management of grid-connected microgrids under uncertainty

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

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