Optimized reservoir operation model of regional wind and hydro power integration case study: Zambezi basin and South Africa

Gebretsadik, Yohannes; Fant, Charles; Strzepek, Kenneth; Arndt, Channing

doi:10.1016/j.apenergy.2015.09.077

Cited by 74 publications

(32 citation statements)

References 15 publications

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“…For any combination at the beginning of this stage, such as combination (2,3,3), which, respectively, represents a discretized point for upstream, midstream, and downstream reservoir, as shown in Figure 1a, with the solid line circle, we can find out the optimal candidate path that corresponds to combination (2,3,3) by traversing all M 3 combinations of the storage volume at the end of this stage. Assuming that it is the combination (3, M, 2), as shown in Figure 1a with the dotted line circle, and then save the optimal candidate path and the cumulative output of combination (2,3,3) in the memory for the usage of next stage.…”

Section: Calculation Procedures Of Mdpmentioning

confidence: 99%

“…Step 3: Repeats step 2, then the calculation of stage T − 1 can be finished by implementing the same work for the other M 3 -1 combinations of the storage volume at the beginning of this stage, except for combination (2,3,3).…”

Section: Calculation Procedures Of Mdpmentioning

confidence: 99%

“…2 the reservoir raises the water level to the normal water level at the end of the first stage of the non-flood season. 3 at the end of the non-flood season, the water of reservoir is released in advance for one or two stages, and the water level falls to the dead water level at the beginning of the last stage. At this moment, there is uncertainty about the number of stages (one or two) in which the water of reservoir released in advance.…”

Section: Basic Data and Regularity Of The Optimal Sample Datamentioning

confidence: 99%

“…It has exceptional advantages when compared with other energy sources [2,3], such as pollution-free, renewable, manageable, and so on. Moreover, hydropower has the unique ability to change the output quite fast, which makes it good at meeting the changing demands for electricity.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Studying Operation Rules of Cascade Reservoirs Based on Multi-Dimensional Dynamics Programming

Jiang

Qin

et al. 2017

Water

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Abstract:Although many optimization models and methods are applied to the optimization of reservoir operation at present, the optimal operation decision that is made through these models and methods is just a retrospective review. Due to the limitation of hydrological prediction accuracy, it is practical and feasible to obtain the suboptimal or satisfactory solution by the established operation rules in the actual reservoir operation, especially for the mid-and long-term operation. In order to obtain the optimized sample data with global optimality; and make the extracted operation rules more reasonable and reliable, this paper presents the multi-dimensional dynamic programming model of the optimal joint operation of cascade reservoirs and provides the corresponding recursive equation and the specific solving steps. Taking Li Xianjiang cascade reservoirs as a case study, seven uncertain problems in the whole operation period of the cascade reservoirs are summarized after a detailed analysis to the obtained optimal sample data, and two sub-models are put forward to solve these uncertain problems. Finally, by dividing the whole operation period into four characteristic sections, this paper extracts the operation rules of each reservoir for each section respectively. When compared the simulation results of the extracted operation rules with the conventional joint operation method; the result indicates that the power generation of the obtained rules has a certain degree of improvement both in inspection years and typical years (i.e., wet year; normal year and dry year). So, the rationality and effectiveness of the extracted operation rules are verified by the comparative analysis.

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Section: Calculation Procedures Of Mdpmentioning

confidence: 99%

Section: Calculation Procedures Of Mdpmentioning

confidence: 99%

Section: Basic Data and Regularity Of The Optimal Sample Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Studying Operation Rules of Cascade Reservoirs Based on Multi-Dimensional Dynamics Programming

Jiang

Qin

et al. 2017

Water

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“…New methods to model, simulate, and evaluate WPP and PHSP units were raised to increase system profits and VaR (value at risk). By optimizing WPP and PHSP utilization level, maximizing WPP and PHSP generation in simulation is taken as objective function in literature [10], so that the WPP reliability assessment methods are optimized as well. Literature [11] used WPP and PHSP cooperation to relieve the wind generation fluctuation influence to grids and proposed a reliability assessment method of Wind-Hydro integrated power system.…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Robust Scheduling Optimization Mode for Multienergy Hybrid System Integrated by Wind Power, Solar Photovoltaic Power, and Pumped Storage Power

Zhang

et al. 2017

Mathematical Problems in Engineering

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Wind power plant (WPP), photovoltaic generators (PV), cell-gas turbine (CGT), and pumped storage power station (PHSP) are integrated into multienergy hybrid system (MEHS). Firstly, this paper presents MEHS structure and constructs a scheduling model with the objective functions of maximum economic benefit and minimum power output fluctuation. Secondly, in order to relieve the uncertainty influence of WPP and PV on system, robust stochastic theory is introduced to describe uncertainty and propose a multiobjective stochastic scheduling optimization mode by transforming constraint conditions with uncertain variables. Finally, a 9.6 MW WPP, a 6.5 MW PV, three CGT units, and an upper reservoir with 10 MW⋅h equivalent capacity are chosen as simulation system. The results show MEHS system can achieve the best operation result by using the multienergy hybrid generation characteristic. PHSP could shave peak and fill valley of load curve by optimizing pumping storage and inflowing generating behaviors based on the load supply and demand status and the available power of WPP and PV. Robust coefficients can relieve the uncertainty of WPP and PV and provide flexible scheduling decision tools for decision-makers with different risk attitudes by setting different robust coefficients, which could maximize economic benefits and minimize operation risks at the same time.

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Future hydropower operations in the Zambezi River basin: Climate impacts and adaptation capacity

Arias

Farinosi

Hughes

2022

River Research & Apps

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Southern Africa could experience major hydrological changes in coming decades, bringing drastic changes to hydropower. Focusing on four large hydropower dams in the Kafue and Zambezi Rivers (Itezhi‐Tezhi, Kafue Gorge Upper, Kariba, and Cahora Bassa), accounting for over 90% of the installed capacity in the basin, this study analyzed how these dams have altered river flows in the past, and how hydropower generation could be affected by future climate change and water use scenarios based on dynamically downscaled simulations from the Fifth Coupled Model Intercomparison Project for a Representative Concentration Pathway of 8.5 W/m2. Future climate change could affect reservoir levels by decreasing water inflows and by increasing evaporation. Results showed a decrease in median annual water levels for all reservoirs, with largest changes expected at Itezhi‐Tezhi (−1.3 to −3.3 m), followed by Cahora Bassa (−0.8 to −2.8 m), Kariba (−0.2 to −0.9), and Kafue Gorge (0.1–0.2 m). Flows downstream of dams show a consistent negative trend, with mean annual flow changes of −30% to −49% at the furthest downstream gauge. The combined reduction in water levels and flows could result in decreases on average annual hydropower generation and increases in interannual variability; annual generation could decrease by −61% to −28% at Kariba, by −51% to −21% at Itezhi‐Tezhi, by −7% to −39% at Kafue Gorge, and −27% to −9% at Cahora Bassa. Reservoir operation optimization could marginally offset the projected changes in hydropower generation, with largest gains for Kariba (+6%) and Cahora Bassa (+10%). Overall, opportunities to offset losses via operations would probably decrease with the expected drier climate and escalating reduction in river discharge and water availability. Given these negative projections, it is becoming critical to adapt and coordinate reservoir operations to best cope with the expected challenging future in this important river basin.

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Optimized reservoir operation model of regional wind and hydro power integration case study: Zambezi basin and South Africa

Cited by 74 publications

References 15 publications

Studying Operation Rules of Cascade Reservoirs Based on Multi-Dimensional Dynamics Programming

Studying Operation Rules of Cascade Reservoirs Based on Multi-Dimensional Dynamics Programming

A Multiobjective Robust Scheduling Optimization Mode for Multienergy Hybrid System Integrated by Wind Power, Solar Photovoltaic Power, and Pumped Storage Power

Future hydropower operations in the Zambezi River basin: Climate impacts and adaptation capacity

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