Optimal scheduling in concentrating solar power plants oriented to low generation cycling

Cojocaru, Emilian Gelu; Bravo, José Manuel; Vasallo, Manuel Jesús; Santos, Diego Marín

doi:10.1016/j.renene.2018.12.026

Cited by 16 publications

(7 citation statements)

References 40 publications

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“…The energy and power constraints of thermal energy storage (TES) are shown in ( 10)- (15). The stored thermal energy of TES should be within a range, as in (10). The energy balance constraint for TES is shown in (11).…”

Section: B Two-stage Deterministic Models For the Csp Plant 1) First-stage: Da Offering Strategy Optimizationmentioning

confidence: 99%

“…In [9], the generation scheduling of the CSP plants in the DA market is addressed using the model predictive control technique. In [10], a mixed-integer linear programming model for the DA scheduling optimization of the CSP plants is proposed to not only maximize the DA revenue but also minimize the generation cycling. In [11], a risk-constrained stochastic offering optimization model for a CSP plant is presented using the downside risk constraints and formulated as mixed integer linear programming.…”

Section: Introductionmentioning

confidence: 99%

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A Mixed CVaR-Based Stochastic Information Gap Approach for Building Optimal Offering Strategies of a CSP Plant in Electricity Markets

et al. 2020

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The development of the concentrating solar power (CSP) plant as a new dispatchable resource that can participate in the electricity markets as an independent power producer and coordinate intermittent renewables has attracted much attention recently. In this work, optimal offering strategies of a price-taker CSP plant in the day-ahead (DA) and real-time (RT) electricity markets are addressed considering non-stochastic uncertainties (NSUs) from the thermal production of the CSP plant and stochastic uncertainties (SUs) from the market prices as well as the risk attitude of the CSP plant concerned. A hybrid stochastic information gap approach (SIGA) integrating the well-established information gap decision theory with the mixed conditional value at risk (CVaR) is proposed to hedge the revenue risk against NSUs and SUs in the offering problem based on the risk preference of the decision maker. A two-stage architecture is utilized for framing the DA and RT offering problems, where the first-stage co-optimizes offering strategies in the DA and RT markets, while the second-stage determines the actual RT hourly offering strategy in a rolling horizon manner. Case studies show that the SIGA can make optimal offering strategies against the non-stochastic thermal production and stochastic market prices given the risk attitude of the CSP plant. Comparisons also demonstrate that the SIGA could be an effective tool to manage coexistent NSUs and SUs.

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Section: B Two-stage Deterministic Models For the Csp Plant 1) First-stage: Da Offering Strategy Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Mixed CVaR-Based Stochastic Information Gap Approach for Building Optimal Offering Strategies of a CSP Plant in Electricity Markets

et al. 2020

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“…In [16–18 ], the optimal scheduling model considering the combination of CSP plant and wind turbine generation (WTG) is proposed to promote wind power consumption. In [19 ], a day‐ahead optimal operation model of a CSP plant is proposed to maximise the day‐ahead revenue. In [20 ], a scenario‐based stochastic framework considering the CSP plant is proposed to obtain the optimal offering curves of CSP plant.…”

Section: Introductionmentioning

confidence: 99%

Optimal coordinative operation strategy of the electric–thermal–gas integrated energy system considering CSP plant

Chen

Liu

Lin

et al. 2020

IET Energy Systems Integration

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Concentrating solar power (CSP) plant, which has great controllability and scheduling flexibility, is a promising renewable energy power generation technology. The reasonable scheduling of a CSP plant can effectively reduce the operating cost of the integrated energy system (IES). In this context, a day‐ahead optimal coordinative operation model of the electric–thermal–gas IES considering CSP plant is proposed in this study with the objective function of minimising the operating cost of the IES. In the proposed model, the transmission delay characteristic of the thermal network is considered to reflect the large thermal inertia of the thermal network. Then, the incremental formulation for the piecewise linearisation and the second‐order cone relaxation method are utilised to transform the proposed non‐linear model into a mixed integer quadratically constrained programming model, which can be efficiently solved by CPLEX solver. The case study shows that the optimal operation model considering CSP plant has better performance in reducing the operating cost and promoting the wind power penetration when compared with the model considering photovoltaic. In addition, the scheduling flexibility of IES can be enhanced by the virtual thermal energy storage characteristic of the thermal network to reduce the operating cost and promote the wind power penetration of IES.

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“…The strategy was applied to the ACUREX solar field showing power benefits when high outlet field temperatures are required. A new term penalizing the generation variation (cycling) is presented in Cojocaru et al (2019), which is used for a scheduling strategy for CSPs. Authors showed that a a reduction in the generation cycling can extend the lifetime of the power block without reducing profits.…”

Section: Introductionmentioning

confidence: 99%

Thermal balance of large scale parabolic trough plants: A case study

et al. 2019

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Optimal scheduling in concentrating solar power plants oriented to low generation cycling

Cited by 16 publications

References 40 publications

A Mixed CVaR-Based Stochastic Information Gap Approach for Building Optimal Offering Strategies of a CSP Plant in Electricity Markets

A Mixed CVaR-Based Stochastic Information Gap Approach for Building Optimal Offering Strategies of a CSP Plant in Electricity Markets

Optimal coordinative operation strategy of the electric–thermal–gas integrated energy system considering CSP plant

Thermal balance of large scale parabolic trough plants: A case study

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