Development of models for analyzing the load-following performance of microturbines and fuel cells

Zhu, Yicheng; Tomsovic, Kevin

doi:10.1016/s0378-7796(02)00033-0

Cited by 429 publications

(241 citation statements)

References 9 publications

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“…Furthermore, heat generated from the fuel cells can be used for cogeneration purpose and it further improves the efficiency of fuel cells. Fuel cells are identified to capture significant part of the market in the near future 22 . In this paper, SOFC is used as the second DG unit and it is connected to the dc terminal of the VSC2 through a unidirectional dc-dc boost converter.…”

Section: Modeling and Control Of Sofcmentioning

confidence: 99%

Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid

Vigneysh¹,

Kumarappan²

2016

IJCIS

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In an islanded microgrid, while considering the complex nature of line impedance, the generalized droop control fails to share the actual real/reactive power between the distributed generation (DG) units. To overcome this power sharing issue, in this paper a new approach based on feed forward neural network (FFNN) is proposed. Also, the proposed FFNN based droop control method simultaneously controls the microgrid voltage and frequency within the limits. The proposed microgrid consists of combination of photovoltaic (PV) system and battery energy storage system (BESS) as the first DG unit and solid oxide fuel cell (SOFC) as the second DG unit. The simulation of the proposed microgrid is carried out in Matlab/Simulink environment and necessary results are compared to show the effectiveness of the proposed method.

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Section: Modeling and Control Of Sofcmentioning

confidence: 99%

Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid

Vigneysh¹,

Kumarappan²

2016

IJCIS

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“…Most of these systems produce electricity and high grade heat for combined heat and power (CHP) applications [2][3][4]. They are also capable of providing base load and load following electricity [5,6] as well as cooling through the use of absorption chillers [7][8][9]. They can also provide power quality support when used in conjunction with proper power electronics [10].…”

Section: Introductionmentioning

confidence: 99%

Dynamic distributed generation dispatch strategy for lowering the cost of building energy

2014

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h i g h l i g h t sModels of utility rate structures and building energy demand dynamics were built. Distributed generation dispatch strategies for minimizing cost were developed. Dispatch strategies are applied to dynamic energy demands of various buildings. Demand charge shifting and demand charge reduction dispatch strategies lowered cost. a r t i c l e i n f o b s t r a c tThe practicality of any particular distributed generation installation depends upon its ability to reduce overall energy costs. A simple yet effective economic dispatch strategy with the goal to use distributed generation to minimize the cost of building energy is developed in this work. The strategy is designed to reduce the individual utility, operations and maintenance charges that increase the cost of energy. Various electric rate structures are modeled in detail and applied with the economic dispatch strategy to simulate meeting various measured building demand dynamics for heat and power. Using the economic dispatch strategy, various modes of operation, such as electric or thermal load following, peak shaving, peak shifting, or base-load operation are simulated. The economic dispatch strategy is compared to more traditional dispatch strategies to demonstrate its effectiveness in reducing total energy costs.

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“…In addition to electricity, many of these technologies can provide a source of high grade heat for combined heat and power (CHP) [9][10][11]. They are also capable of providing base load and load following power [12,13] as well as cooling through the use of absorption chillers [14][15][16]. They can also provide power quality support when used in conjunction with proper power electronics [17].…”

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confidence: 99%

Economic and sensitivity analyses of dynamic distributed generation dispatch to reduce building energy cost

Flores

Shaffer

Brouwer

2014

Energy and Buildings

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a b s t r a c tThe practicality of any particular distributed generation (DG) installation depends upon its ability to reduce overall energy costs. A parametric study summarizing DG performance capabilities is developed using an economic dispatch strategy that minimizes building energy costs. Various electric rate structures are considered and applied to simulate meeting various measured building demand dynamics for heat and power. A determination of whether investment in DG makes economic sense is developed using a realtime dynamic dispatch and control strategy to meet real building demand dynamics. Under the economic dispatch strategy, capacity factor is influenced by DG electrical efficiency, operations and maintenance cost, and fuel price. Under a declining block natural gas rate structure, a large local thermal demand improves DG economics. Increasing capacity for DG that produces low cost electricity increases savings, but installing further capacity beyond the average building electrical demand reduces savings. For DG that produces high cost electricity, reducing demand charges can produce savings. Heat recovery improves capacity factor and DG economics only if thermal and electrical demand is coincident and DG heat is utilized. Potential DG economic value can be improved or impaired depending upon how the utility electricity cost is determined.

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Development of models for analyzing the load-following performance of microturbines and fuel cells

Cited by 429 publications

References 9 publications

Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid

Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid

Dynamic distributed generation dispatch strategy for lowering the cost of building energy

Economic and sensitivity analyses of dynamic distributed generation dispatch to reduce building energy cost

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