Economic dispatch of a single micro-gas turbine under CHP operation

Rist, Johannes F.; Dias, Miguel F.; Palman, Michael; Zelazo, Daniel; Cukurel, Beni

doi:10.1016/j.apenergy.2017.05.064

Cited by 51 publications

(45 citation statements)

References 32 publications

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“…Thus, DP may not be suitable for online applications. In the energy system area, several studies [46,[48][49][50] proved the effectiveness of DP also for residential user applications. In [46], DP was applied to a biofuel micro-CHP system supplied with battery banks and supercapacitors, in order to identify the optimal power distribution for CHP suppliers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The study [48] also validated DP by selecting the optimal control strategy for minimizing primary energy consumption. Furthermore, DP was used in [49] to investigate the dispatch problem by considering a micro-CHP system based on a gas turbine. The DP algorithm was used in [50] to identify the operating logic that allowed cost minimization of a system, including an internal combustion engine, a boiler and a water tank with a resistor.…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimal Management of the Energy Flows of Interconnected Residential Users

Manservigi¹,

Cattozzo²,

Spina³

et al. 2020

Energies

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In recent years, residential users have begun to be equipped with micro-CHP (combined heat and power) generation technologies with the aim of decreasing primary energy consumption and reducing environmental impact. In these systems, the prime mover supplies both thermal and electrical energy, and an auxiliary boiler and the national electrical grid are employed as supplementary systems. In this paper, a simulation model, which accounts for component efficiency and energy balance, was developed to replicate the interaction between the users and the energy systems in order to minimize primary energy consumption. The simulation model identified the optimal operation strategy of two residential users by investigating different energy system configurations by means of a dynamic programming algorithm. The reference scenario was compared to three different scenarios by considering independent energy systems, shared thermal and electrical energy storage and also the shared prime mover. Such a comparison allowed the identification of the most suitable energy system configuration and optimized operation strategy. The results demonstrate that the optimized operation strategy smoothes the influence of the size of thermal and electrical energy storage. Moreover, the saving of primary energy consumption can be as high as 5.1%. The analysis of the economic feasibility reveals that the investment cost of the prime mover can be as high as 4000 €/kW.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Optimal Management of the Energy Flows of Interconnected Residential Users

Manservigi¹,

Cattozzo²,

Spina³

et al. 2020

Energies

View full text Add to dashboard Cite

show abstract

“…In such studies, the optimization of the operational cost as well energy savings and emission reductions are the primary objectives, and different algorithms are employed to solve the optimization problem. A method for the economic dispatch optimization of MGs, which considers the load as well as microturbine (MT) constraints was proposed with the aim of minimizing the fuel cost [11]. Low-cost operations and energy management are generally considered as necessary for MGs to ensure that they can meet the power demand, facilitate improved penetration levels of renewable energy, and allow for control over the power exchanged with the utility grid [12,13].…”

Section: Literature Review and Motivationmentioning

confidence: 99%

Optimal Operational Scheduling of Distribution Network with Microgrid via Bi-Level Optimization Model with Energy Band

Kim

2019

Applied Sciences

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An optimal operation of new distributed energy resources can significantly advance the performance of power systems, including distribution network (DN). However, increased penetration of renewable energy may negatively affect the system performance under certain conditions. From a system operator perspective, the tie-line control strategy may aid in overcoming various problems regarding increased renewable penetration. We propose a bi-level optimization model incorporating an energy band operation scheme to ensure cooperation between DN and microgrid (MG). The bi-level formulation for the cooperation problem consists of the cost minimization of the DN and profit maximization of the MG. The goal of the upper-level is to minimize the operating costs of the DN by accounting for feedback information, including the operating costs of the MG and energy band. The lower-level aims to maximize the MG profit, simultaneously satisfying the reliability and economic targets imposed in the scheduling requirements by the DN system operator. The bi-level optimization model is solved using an advanced method based on the modified non-dominated sorting genetic algorithm II. Based on simulation results using a typical MG and an actual power system, we demonstrate the applicability, effectiveness, and validity of the proposed bi-level optimization model.

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“…There are authors using the term "unit commitment" in a narrow sense, where it refers to the on/off status of generators and then economic dispatch is performed to specify the generation level of the units [e.g. [6][7][8][9]. In a broad sense, as it is used in this paper, UC refers to determining both the on/off status and the generation level.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP

2019

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An increasing share of the weather-dependent RES generation in the power system leads to the growing importance of flexibility of conventional power plants. They were usually designed for base load operation and it is a challenge to determine the actual long-term cycling costs, which account for an increase in maintenance and overhaul expenditures, increased forced outage rates and shortened life expectancy of the plant and components. In this paper, the overall impact of start up costs is evaluated by formulating and solving price based unit commitment problem (PBUC). The electricity spot market is considered as a measure for remunerating flexibility. This approach is applied to a real-life case study based on the 70 MWe PGE Gorzόw CCGT power plant. Different operation modes are calculated and results are used to derive a mixed integer linear programming (MILP) model to optimize the operation of the plant. The developed mathematical model is implemented in Python within the frame of the PuLP library and solved using GUROBI. Results of the application of the method to a numerical example are presented.

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Economic dispatch of a single micro-gas turbine under CHP operation

Cited by 51 publications

References 32 publications

Optimal Management of the Energy Flows of Interconnected Residential Users

Optimal Management of the Energy Flows of Interconnected Residential Users

Optimal Operational Scheduling of Distribution Network with Microgrid via Bi-Level Optimization Model with Energy Band

Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP

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