Optimal energy exchange of an industrial cogeneration in a day-ahead electricity market

Yusta, José M.; Jesús, P.M. De Oliveira-De; Khodr, H.M.

doi:10.1016/j.epsr.2008.03.012

Cited by 21 publications

(10 citation statements)

References 27 publications

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“…Wind power and PV are affected by the weather conditions. As shown in Fig.4, it is a typical power curve of wind and PV [5] [7]. Wind power fluctuations sharply, while PV mainly works during the daytime 10:00-17:00.…”

Section: Peak-valley Price and Peak Load Shiftingmentioning

confidence: 97%

Microgrid economic optimal operation of the combined heat and power system with renewable energy

Yuan³

2010

IEEE PES General Meeting

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Combined heat and power system (CHP) with renewable energy generation, which operates with high efficiency and low costs, is an important form of microgrid. This paper deals with the problem of economic operation of cogeneration system including wind energy, PV, heat recovery boiler and battery. On the basis of predicting the next 24-hours' wind energy and PV power, power and heat demand, a nonlinear optimal model is built to deal with the economic operation of available power resources and formulate the 24-hours' work schedule. Besides, this paper focuses on the effect of battery and peak-valley electricity price on system operation costs. Four different cases with a test CHP system are compared. Test results indicate that peak-valley electricity price would increase the system operating costs, while using battery and peak load shifting can effectively reduce operating costs.Index Terms-Combined Heat and Power (CHP) system, renewable energy, economic operation, peak-valley electricity price, microgrid, smart grid

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Section: Peak-valley Price and Peak Load Shiftingmentioning

confidence: 97%

Microgrid economic optimal operation of the combined heat and power system with renewable energy

Yuan³

2010

IEEE PES General Meeting

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“…To date, several efficiency strategies have been developed to achieve this optimal operation [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Ref.…”

Section: Of 15mentioning

confidence: 99%

“…Ref. [19] addressed an optimal strategy for the daily energy exchange of a 22-MW combined-cycle cogeneration plant in a liberty market.…”

Section: Of 15mentioning

confidence: 99%

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The Optimal Energy Dispatch of Cogeneration Systems in a Liberty Market

Lin

Yang

et al. 2019

Energies

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This paper proposes a novel approach toward solving the optimal energy dispatch of cogeneration systems under a liberty market in consideration of power transfer, cost of exhausted carbon, and the operation condition restrictions required to attain maximal profit. This paper investigates the cogeneration systems of industrial users and collects fuel consumption data and data concerning the steam output of boilers. On the basis of the relation between the fuel enthalpy and steam output, the Least Squares Support Vector Machine (LSSVM) is used to derive boiler and turbine Input/Output (I/O) operation models to provide fuel cost functions. The CO2 emission of pollutants generated by various types of units is also calculated. The objective function is formulated as a maximal profit model that includes profit from steam sold, profit from electricity sold, fuel costs, costs of exhausting carbon, wheeling costs, and water costs. By considering Time-of-Use (TOU) and carbon trading prices, the profits of a cogeneration system in different scenarios are evaluated. By integrating the Ant Colony Optimization (ACO) and Genetic Algorithm (GA), an Enhanced ACO (EACO) is proposed to come up with the most efficient model. The EACO uses a crossover and mutation mechanism to alleviate the local optimal solution problem, and to seek a system that offers an overall global solution using competition and selection procedures. Results show that these mechanisms provide a good direction for the energy trading operations of a cogeneration system. This approach also provides a better guide for operation dispatch to use in determining the benefits accounting for both cost and the environment in a liberty market.

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“…However, their formulation is nonlinear due to a quadratic objective and bilinear terms that result from multiplications with binary variables. Yusta et al (2008) [42] study the economic impact of energy exchange with the Spanish power grid for a cogeneration system consisting of a gas turbine and a steam turbine using a piece-wise linear approximation for the gas turbine and a constant efficiency model for the steam turbine. Marshman et al (2010) [39] employ a constant efficiency model for steam turbines and boiler to optimize the cogeneration facility of a paper and pulp mill.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices

Mitra

Sun

Grossmann

2013

Energy

228

109

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Combined heat and power (CHP) plants are widely used in industrial applications. In the aftermath of the recession, many of the associated production processes are under-utilized, which challenges the competitiveness of chemical companies. However, under-utilization can be a chance for tighter interaction with the power grid, which is in transition to the so-called smart grid, if the CHP plant can dynamically react to time-sensitive electricity prices.In this paper, we describe a generalized mode model on a component basis that addresses the operational optimization of industrial CHP plants. The mode formulation tracks the state of each plant component in a detailed manner and can account for different operating modes, e.g. fuel-switching for boilers and supplementary firing for gas turbines, and transitional behavior. Transitional behavior such as warm and cold start-ups, shutdowns and pre-computed start-up trajectories is modeled with modes as well. The feasible region of operation for each component is described based on input-output relationships that are thermodynamically sound, such as the Willans line for steam turbines. Furthermore, we emphasize the use of mathematically efficient logic constraints that allow solving the large-scale models fast.

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Optimal energy exchange of an industrial cogeneration in a day-ahead electricity market

Cited by 21 publications

References 27 publications

Microgrid economic optimal operation of the combined heat and power system with renewable energy

Microgrid economic optimal operation of the combined heat and power system with renewable energy

The Optimal Energy Dispatch of Cogeneration Systems in a Liberty Market

Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices

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