A practical hybrid predictive control algorithm for a low‐temperature thermosolar plant

Álvarez, José Domingo; Pasamontes, M.; Guzmán, José Luís; Camacho, Eduardo F.

doi:10.1002/oca.2139

Cited by 7 publications

(2 citation statements)

References 29 publications

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“…Álvarez et al . present a control approach to deal with plants formed by several interconnected subprocesses and where the interconnection between subprocesses can change during the plant operation. The change from one operation mode to another, where each operation mode is defined by a discrete variable set, implies a change in the process behaviour that must be counteracted by the control system.…”

Section: Optimal Control Of Solar Energy Systemsmentioning

confidence: 99%

Editorial optimal control of solar energy systems

Camacho

Berenguel

2015

Optim Control Appl Methods

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Section: Optimal Control Of Solar Energy Systemsmentioning

confidence: 99%

Editorial optimal control of solar energy systems

Camacho

Berenguel

2015

Optim Control Appl Methods

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“…Furthermore, it is possibly the most widely used modeling method in optimal scheduling for CSP plants . The MIP approach allows for the implementation of practical hybrid MPC . Taking into consideration the aforementioned, the formulation of the MPC with binary‐regularization (MPC BR ) optimization problem proposed in this paper has been carried out using MIP.…”

Section: Introductionmentioning

confidence: 99%

A binary‐regularization‐based model predictive control applied to generation scheduling in concentrating solar power plants

Cojocaru

Bravo

Vasallo

et al. 2019

Optim Control Appl Methods

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Summary This paper proposes the use of model predictive control (MPC) with binary‐regularization to manage the electric power generation problem in concentrating solar power plants with thermal energy storage. The main advantage of the of MPC with binary‐regularization formulation is the inclusion of a power block protection method based on a binary‐regularization term that penalizes power generation variation (also called generation cycling) differently according to the power block situation, ie, normal operation, startup, or shutdown. This distinction simplifies the choice of schedules with reduced variation and high energy sale profits. The interest in this reduction is the achievement of a higher lifetime of the power block elements, lower maintenance costs, and easier plant operability. A benefit of the generation scheduling based on MPC is the capacity of rescheduling the power generation at regular periods, taking advantage of the most recent energy prices and weather forecast, and of the plant's current state. An interesting question is if the proposed protection mechanism affects the economic results of the MPC black strategy. In this regard, an economic study based on a realistic simulation of a 50 MW parabolic trough collector‐based concentrating solar power plant with thermal energy storage, under the assumption of participation in the Spanish day‐ahead energy market scenario, is included. Realistic values for actual and forecasted solar resource and for energy price are used, and for penalties for deviation from the committed generation schedule. The economic study shows that the proposed scheduling method provides an important reduction of the generation cycling without decreasing energy sales profits. Another advantage of the proposed method is the possibility of estimating the highest level of power block protection, which maintains the profits by means of historical data, which favors its practical implementation.

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