Flexibility requirements and electricity system planning: Assessing inter-regional coordination with large penetrations of variable renewable supplies

English, Joseph M.; Niet, Taco; Lyseng, B.; Keller, Victor; Palmer-Wilson, Kevin; Robertson, Bryson; Wild, Peter; Rowe, Andrew

doi:10.1016/j.renene.2019.07.097

Cited by 50 publications

(11 citation statements)

References 39 publications

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“…Incorporating short-term operational demands into the optimal long-term operation of hydropower systems provides the potential to improve the stability and flexibility of power systems [20][21][22][23][24][25]. Inspired by this approach, this study set out to investigate the long-term optimal operation of hydropower plants that transmit power via HVDC transmission lines; in this case, long-term decision making fully considers the short-term peak shaving demands.…”

Section: Methodsmentioning

confidence: 99%

“…For example, Ming et al [20] proposed a procedure to derive reservoir reoperation rules to adapt to large-scale photovoltaic (PV) power generation; to bridge long-and short-term operations, a short-term simulation model was established to estimate the functional relationship between long-term generation and the short-term PV curtailment rate. Jeffrey English et al [21] used a long-term capacity expansion and dispatch model to examine the balance of requirements in a decarbonizing electricity system that included short-term flexibility requirements. Morillo et al [22] presented a long-term operation model for hydro-dominated systems that considers the impact of short-term variability in wind power on system operation.…”

Section: Introductionmentioning

confidence: 99%

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Optimization Model for the Long-Term Operation of an Interprovincial Hydropower Plant Incorporating Peak Shaving Demands

et al. 2020

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The increasing peak-to-valley load difference in China pose a challenge to long-distance and large-capacity hydropower transmission via high-voltage direct current (HVDC) lines. Considering the peak shaving demands of load centers, an optimization model that maximizes the expected power generation revenue is proposed here for the long-term operation of an interprovincial hydropower plant. A simulation-based method was utilized to explore the relationships between long-term power generation and short-term peak shaving revenue in the model. This method generated representative daily load scenarios via cluster analysis and approximated the real-time electricity price of each load profile with the time-of-use price strategy. A mixed-integer linear programming model with HVDC transmission constraints was then established to obtain moving average (MA) price curves that bridged two time-coupled operations. The MA price curves were finally incorporated into the long-term optimization model to determine monthly generation schedules, and the inflow uncertainty was addressed by discretized inflow scenarios. The proposed model was evaluated based on the operation of the Xiluodu hydropower system in China during the drawdown season. The results revealed a trade-off between long-term energy production and short-term peak shaving revenue, and they demonstrated the revenue potential of interprovincial hydropower transmission while meeting peak shaving demands. A comparison with other long-term optimization methods demonstrated the effectiveness and reliability of the proposed model in maximizing power generation revenue.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization Model for the Long-Term Operation of an Interprovincial Hydropower Plant Incorporating Peak Shaving Demands

et al. 2020

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“…Moreover, the auxiliary variables also include the corresponding energy stored in the upper reservoir in MWh, translated mathematically in (5) and (6). Equation (5) represents the accumulated energy stored in the reservoir, in (5) electricity from the wind farm W t,d is being stored in the upper reservoir by means of potential energy of water, (see (5)).…”

Section: Variablesmentioning

confidence: 99%

Optimal operation scheduling of a pump hydro storage system coupled with a wind farm

Gomes

Telhada

et al. 2021

IET Renewable Power Gen

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The variability in non-dispatchable power generation makes essential the improvement of production management. This study focuses on the development of an optimisation model for a renewable power unit, composed of a wind farm and a hydro-pump storage power plant, to maximise its revenue. The combination of the two technologies allows the mitigation of risks associated with wind production and electricity price variability. The problem is formulated using linear programming and encompasses the selling of electricity in the Iberian day-ahead market and through a bilateral contract. The model is tested and scrutinised with sets of real historical generation and price data. In the day-ahead market scenario, the proposed methodology leads to an average yearly increase of net revenue ranging between 5% and 20%. In the bilateral contract scenario, the coupling of the wind farm and hydropower plant can reduce the imbalances costs substantially. Furthermore, the work identifies a positive correlation between reservoir dimension, turbine capacity and revenue value. The study also detects a revenue reduction tendency related to the decrease in the volatility of electricity prices.

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“…With this growing deployment comes challenges in terms of both their integration and the declining marginal value of additional PV for energy, capacity, and ancillary services (Mills and Wiser 2012;Hirth 2013;2015;Cole, Frew, et al 2018;Bolinger, Seel, and Robson 2019). Moreover, the broader increase in penetration of variable renewable energy (VRE) technologies has led to a growing demand for firm capacity and flexibility (Denholm et al 2016;English et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Representing DC-Coupled PV+Battery Hybrids in a Capacity Expansion Model

Newman

Murphy

Cole

et al. 2021

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Flexibility requirements and electricity system planning: Assessing inter-regional coordination with large penetrations of variable renewable supplies

Cited by 50 publications

References 39 publications

Optimization Model for the Long-Term Operation of an Interprovincial Hydropower Plant Incorporating Peak Shaving Demands

Optimization Model for the Long-Term Operation of an Interprovincial Hydropower Plant Incorporating Peak Shaving Demands

Optimal operation scheduling of a pump hydro storage system coupled with a wind farm

Representing DC-Coupled PV+Battery Hybrids in a Capacity Expansion Model

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