Scheduling when Reservoirs are Batteries for Wind- and Solar-power

Wolfgang, Ove; Henden, Arild Lothe; Belsnes, Michael; Baumann, Christoph; Maaz, Andreas; Schäfer, Andreas; Moser, Albert; Harasta, Michaela; Døble, Trygve

doi:10.1016/j.egypro.2015.12.348

Cited by 8 publications

(3 citation statements)

References 6 publications

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“…In this work we assume that electricity from intermittent solar PV can be only backed up by CSP or fossil generation. An important alternative is storable (reservoir and pumped storage) hydropower capacity, which has been recently employed for balancing intermittent electricity from solar generation in European electricity markets (Wolfgang et al 2016). 12 Given the enormous technical potential of hydropower, which is estimated to be 4.8 times greater than today's global electricity generation (IRENA 2012), one can plausibly argue that the potential for the deployment of solar PV technology (in particular, organic PVs, which do not depend on critical materials) is considerably larger when combined with storable hydropower, especially in the aggressive GHG mitigation scenario.…”

Section: Discussionmentioning

confidence: 99%

Sustainability of solar electricity: The role of endogenous resource substitution and cross-sectoral responses

Steinbuks

Satija

Zhao

2017

Resource and Energy Economics

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Section: Discussionmentioning

confidence: 99%

Sustainability of solar electricity: The role of endogenous resource substitution and cross-sectoral responses

Steinbuks

Satija

Zhao

2017

Resource and Energy Economics

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“…Moreover, pumped-storage hydropower can add even more flexibility to hydropower plants because of its ability to come online within 75 to 110 s [7]. Furthermore, since several countries have deregulated their electricity markets, grid operators face new challenges while performing power system operation, which is why more flexible power generation is increasingly required to cope with the uncertainty that characterizes electrical systems [8]. Even though hydropower generation represents a small part of Mexico's electricity generation mix (natural gas, 59.8%; coal, 11%; oil, 10.2%; hydro, 10%; nuclear, 3.8%; wind, 2.6%; geothermal, 2%; biofuels and waste, 0.5%; solar, 0.1%; see [9]), considering stochastic modeling while solving the medium-term hydrothermal scheduling problem (MTHS) is imperative from both economic and operations perspectives.…”

Section: Introductionmentioning

confidence: 99%

Medium-Term Hydrothermal Scheduling of the Infiernillo Reservoir Using Stochastic Dual Dynamic Programming (SDDP): A Case Study in Mexico

Marín Cruz,

Badaoui,

Mota Palomino

2023

Energies

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This article aims to obtain and evaluate medium-term operating policies for the hydrothermal scheduling problem by using the stochastic dual dynamic programming (SDDP) approach. To this end, to feed the mathematical model and build the probability distribution functions that best fit each month of the actual inflow volume, monthly inflow data recorded from 1938 to 2018 for the Infiernillo reservoir located in Mexico were employed. Moreover, we simulated inflow volume scenarios using the Monte Carlo method for each month of a one-year planning period. The SDDP approach to solving the optimization problem consisted of the simulation of one forward scenario per iteration and the stabilization of the total operating cost as a convergence criterion, which results in an operating policy. We then assessed its quality by estimating the one-sided optimality gap. It is worth mentioning that the best operation policy required scenario trees of up to 17,000 inflow realizations per stage. Additionally, to study the evolution of the expected value along the planning horizon of the main variables involved in the medium-term hydrothermal scheduling problem, we simulated the best operation policy over 10,000 inflow scenarios. Finally, to show the practical value of the proposed approach, we report its computational complexity.

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“…The first area corresponds to renewable-energy policy which establishes the regulations for enhancing the use of renewable energy in several regions, countries or different energy-supply sources to complement each other [1][2][3] or for instance sets diesel fuels as the main sources of renewable energy plants for mini stand-alone grid systems in order to save money and have fewer environmental effects [4,5]. A second area is the utilization of wind and solar energy to generate other storable energy carriers, such as hydrogen [6] or to transform electricity generated by renewable sources to other types of energy, such as a pumped storage system [7]. For the last two areas, there is also the use of the observed wind and solar farm output or simulated data series, as well as a storage system to investigate modeling for grid-connected [8][9][10][11][12] or stand-alone [13][14][15][16][17][18] systems to meet demand.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis for One-Step-Ahead Forecasting of Hybrid Solar and Wind Energy on Short Time Scales

Huang

Boland

2018

Energies

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With ever increasing demand for electricity and the huge potential of renewable energy, an increasing number of renewable-energy sources are being used to generate electricity. However, due to the intermittency of renewable-energy generation, many researchers try to overcome the variable nature of renewable energy. A hybrid renewable-energy system is one possible way to introduce smoothing of the supply. Many hybrid renewable-energy studies focus on system optimization and management. This paper mainly researches the performance prediction accuracy of a hybrid solar and wind system. Through a mixed autoregressive and dynamical system model, we test the predictability of the hybrid system and compare it with individual solar and wind series forecasting. After error analysis, the predictability of the hybrid system shows a better performance than solar or wind for Adelaide global solar radiation and Starfish Hill wind farm data. The prediction errors were reduced by 13% to more than 30% according to various error analyses. This result indicates an advantage of the hybrid solar and wind system compared to solar and wind systems taken individually.

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Scheduling when Reservoirs are Batteries for Wind- and Solar-power

Cited by 8 publications

References 6 publications

Sustainability of solar electricity: The role of endogenous resource substitution and cross-sectoral responses

Sustainability of solar electricity: The role of endogenous resource substitution and cross-sectoral responses

Medium-Term Hydrothermal Scheduling of the Infiernillo Reservoir Using Stochastic Dual Dynamic Programming (SDDP): A Case Study in Mexico

Performance Analysis for One-Step-Ahead Forecasting of Hybrid Solar and Wind Energy on Short Time Scales

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