Dynamic Ramping Model Including Intraperiod Ramp-Rate Changes in Unit Commitment

Correa-Posada, Carlos M.; Morales-España, Germán; Dueñas, Pablo; Sánchez-Martin, Pedro

doi:10.1109/tste.2016.2578302

Cited by 43 publications

(17 citation statements)

References 23 publications

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“…This paper mainly evaluates the regulation capability of the units from the point of the maximum power that can be raised or lowered at a certain time [29]. As shown in Equations (15) and 16, the maximum power raised or lowered at a certain time is generally limited by the factors of the unit's minimum operating output, maximum operating output and ramp rate.…”

Section: The Regulation Capability Of the Unitsmentioning

confidence: 99%

Mitigation Strategy for Duck Curve in High Photovoltaic Penetration Power System Using Concentrating Solar Power Station

Wang

Chang

Bai³

et al. 2019

Energies

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Concentrating solar power (CSP) station is counted as a promising flexible power supply when the net load power curve is duck-shaped in high photovoltaic (PV) penetration power system, which may lead to the serious phenomenon of PV curtailment and a large-capacity power shortage. This paper presents a mitigation strategy that replaces thermal power station with CSP station to participate in the optimal operation of power system for solving the duck-shaped net load power curve problem. The proposed strategy utilizes the dispatchability of thermal storage system (TSS) and the fast output regulation of unit in the CSP station. Simultaneously, considering the operation constraints of CSP station and network security constraints of the system, an optimization model is developed to minimize the overall cost including operation and penalty. The results obtained by nonlinear optimization function demonstrate that the replacement of concentrating solar power (CSP) station contributes to reducing the PV curtailment and lost load, while increasing the available equivalent slope for power balance. Thus, the proposed mitigation strategy can promote the penetration of PV generation and improve the flexibility of power system.

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Section: The Regulation Capability Of the Unitsmentioning

confidence: 99%

Mitigation Strategy for Duck Curve in High Photovoltaic Penetration Power System Using Concentrating Solar Power Station

Wang

Chang

Bai³

et al. 2019

Energies

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“…Each unit features different ranges of ramp up. To satisfy load changes, the maximum ramp-up (R iup ) of a unit within 2 consecutive hours must be considered, as presented in Equation (8).…”

Section: Unit Ramp-up and Ramp-down Limitmentioning

confidence: 99%

“…However, all these methods require additional costs and are unable to effectively use renewable energy.Some studies on the ramp rate of power generating units after the integration of renewable energy into the system are described as follows. Correa-Posada et al used a dynamic ramping model, namely mixed-integer linear programming, which considered the flexibility of ramping limits to reduce the dynamic errors caused during ramping [4]. Ding and Bie used the IEEE 118 bus as an example; the Lagrangian relaxation method was integrated with the diagonal quadratic approximation method to solve the dynamic economic dispatch optimization problem after consideration of the unit ramp rate [5].…”

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confidence: 99%

“…Saka et al considered transmission losses, ramp rate limits, and prohibited operating zones, and used the vortex search algorithm for scheduling the economic load dispatch problem [7]. Correa-Posada et al also applied the mixed-integer linear programming to the unit ramp rate constraint to effectively allocate operating reserves to thermal units, especially gas-fired generators [8]. Wanga et al proposed an optimal dispatching strategy for the dispatch of the power system during peak load periods under high wind power penetration and rapid ramp events.…”

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confidence: 99%

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Optimal Unit Commitment by Considering High Penetration of Renewable Energy and Ramp Rate of Thermal Units-A case study in Taiwan

Wang

Kuo

et al. 2019

Applied Sciences

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When large amounts of wind power and solar photovoltaic (PV) power are integrated into an independent power grid, the intermittent renewable energy destabilizes power output. Therefore, this study explored the unit commitment (UC) optimization problem; the ramp rate was applied to solve problems with 30 and 10 min of power shortage. The data of actual unit parameters were provided by the Taiwan Power Company. The advanced priority list method was used together with a combination of a generalized Lagrangian relaxation algorithm and a random feasible directions algorithm to solve a large-scale nonlinear mixed-integer programming UC problem to avoid local and infeasible solutions. The results showed that the proposed algorithm was superior to improved particle swarm optimization (IPSO) and simulated annealing (SA) in terms of the minimization of computation time and power generation cost. The proposed method and UC results can be effective information for unit dispatch by power companies to reduce the investment costs of power grids and the possibility of renewable energy being disconnected from the power system. Thus, the proposed method can increase the flexibility of unit dispatch and the proportion of renewable energy in power generation. Appl. Sci. 2019, 9, 421 2 of 14 solar PV and wind power generation, respectively. The short-term goal comprised a total installed capacity of PV of 1520 MW and cumulative installed capacities of onshore and offshore wind power of 814 and 520 MW, respectively [2].In the traditional unit commitment (UC) problem, the startup and shutdown times of various units and the power output within a dispatch time period of 1 day to 1 week or even 1 month to 1 season are planned according to the system load to achieve the lowest operating cost. In addition, with the load requirement being satisfied, the traditional unit commitment problem ensures that the criteria for the operation of each unit can be met. These criteria include the upper and lower limits of power output for each unit, the ramp rates of the units, and the balance between the supply of and demand for electricity. However, because of the intermittent characteristic of renewable energy, the power output may substantially decrease or increase within a few minutes due to weather events (such as an eclipse, no wind, or strong wind). Such circumstances are typically managed by using pre-established spinning reserves and storage systems [3]. However, all these methods require additional costs and are unable to effectively use renewable energy.Some studies on the ramp rate of power generating units after the integration of renewable energy into the system are described as follows. Correa-Posada et al. used a dynamic ramping model, namely mixed-integer linear programming, which considered the flexibility of ramping limits to reduce the dynamic errors caused during ramping [4]. Ding and Bie used the IEEE 118 bus as an example; the Lagrangian relaxation method was integrated with the diagonal quadratic approximation method to solve t...

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“…However, the constructed models have limitations in imitating the transitions of the ramping rates across different zones (e.g., from a forbidden zone to a normal zone). Based on Li and Shahidehpour [8], Correa-Posada et al [36] further improve the formulation with dynamic ramping rate limits taken into account by incorporating more realistic cases. Unfortunately, these studies cannot capture the dynamic ramping rate limits accurately, since they do not take into account forbidden zones, which have special requirements [37].…”

Section: Literature Reviewmentioning

confidence: 99%

Data-Driven Stochastic Scheduling for Energy Integrated Systems

et al. 2019

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As the penetration of intermittent renewable energy increases and unexpected market behaviors continue to occur, new challenges arise for system operators to ensure cost effectiveness while maintaining system reliability under uncertainties. To systematically address these uncertainties and challenges, innovative advanced methods and approaches are needed. Motivated by these, in this paper, we consider an energy integrated system with renewable energy and pumped-storage units involved. In addition, we propose a data-driven risk-averse two-stage stochastic model that considers the features of forbidden zones and dynamic ramping rate limits. This model minimizes the total cost against the worst-case distribution in the confidence set built for an unknown distribution and constructed based on data. Our numerical experiments show how pumped-storage units contribute to the system, how inclusions of the aforementioned two features improve the reliability of the system, and how our proposed data-driven model converges to a risk-neutral model with historical data.

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Dynamic Ramping Model Including Intraperiod Ramp-Rate Changes in Unit Commitment

Cited by 43 publications

References 23 publications

Mitigation Strategy for Duck Curve in High Photovoltaic Penetration Power System Using Concentrating Solar Power Station

Mitigation Strategy for Duck Curve in High Photovoltaic Penetration Power System Using Concentrating Solar Power Station

Optimal Unit Commitment by Considering High Penetration of Renewable Energy and Ramp Rate of Thermal Units-A case study in Taiwan

Data-Driven Stochastic Scheduling for Energy Integrated Systems

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