Optimal Thermal Unit Commitment for Solving Duck Curve Problem by Introducing CSP, PSH and Demand Response

Howlader, Harun Or Rashid; Sediqi, Mohammad Masih; Ibrahimi, Abdul Matin; Senjyu, Tomonobu

doi:10.1109/access.2018.2790967

Cited by 80 publications

(34 citation statements)

References 21 publications

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“…Some approaches that have been proposed to solve the duck curve problem include adjusting the orientation of solar panel [22], employing the combination of ESS and demand side's controllable generator [23], besides replacing the conventional thermal generation with the concentrated solar power generation [24]. However, this study proposes the BESS to mitigate the duck curve problem while minimising the total system losses in the distribution network.…”

Section: Duck Curve Phenomenonmentioning

confidence: 99%

Optimal Placement and Sizing of Battery Energy Storage System Considering the Duck Curve Phenomenon

et al. 2020

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This paper suggests a method to place and size the battery energy storage system (BESS) optimally to minimise total system losses in a distribution system. Subsequently, the duck curve phenomenon is taken into consideration while determining the location and sizing. The locations and sizing of BESS were optimised using a metaheuristic algorithm with high exploration and exploitation ability which is known as the Whale Optimisation Algorithm (WOA). Meanwhile, the performance of WOA was validated using other algorithms, i.e., Particle Swarm Optimisation and Firefly Algorithm. The results demonstrated the capability of WOA to determine the optimal BESS location and sizing for all cases, with and without considering the duck curve issue for loss reduction. Besides that, the duck curve issue can be mitigated by appropriately optimising the energy storage system (ESS) to reduce the steep ramp of the duck neck and ducktail and to lift the duck belly. In conclusion, although less loss reduction was achieved as a tradeoff to fulfil the constraint on net load ramp limit, the required BESS sizing was much smaller than the case without those constraints and charging operation, which makes this solution economically viable.

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Section: Duck Curve Phenomenonmentioning

confidence: 99%

Optimal Placement and Sizing of Battery Energy Storage System Considering the Duck Curve Phenomenon

et al. 2020

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“…This example problem is given only for demonstrating the optimal ESS contribution with the UC problem. Several types of research have proven this concept of load-leveling action of ESS in optimal UC implementation [104]. Most of the modeling used in the above example problem configurations and the parameters of the considered TG units are taken from Reference [104].…”

Section: Ess With Uc Programmentioning

confidence: 99%

Energy Storage System Analysis Review for Optimal Unit Commitment

et al. 2019

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Energy storage systems (ESSs) are essential to ensure continuity of energy supply and maintain the reliability of modern power systems. Intermittency and uncertainty of renewable generations due to fluctuating weather conditions as well as uncertain behavior of load demand make ESSs an integral part of power system flexibility management. Typically, the load demand profile can be categorized into peak and off-peak periods, and adding power from renewable generations makes the load-generation dynamics more complicated. Therefore, the thermal generation (TG) units need to be turned on and off more frequently to meet the system load demand. In view of this, several research efforts have been directed towards analyzing the benefits of ESSs in solving optimal unit commitment (UC) problems, minimizing operating costs, and maximizing profits while ensuring supply reliability. In this paper, some recent research works and relevant UC models incorporating ESSs towards solving the abovementioned power system operational issues are reviewed and summarized to give prospective researchers a clear concept and tip-off on finding efficient solutions for future power system flexibility management. Conclusively, an example problem is simulated for the visualization of the formulation of UC problems with ESSs and solutions.

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“…Floch et al presented a distributed charging algorithm for plug-in electric vehicles to mitigate the duck curve challenges [12]. Recent works on handling duck-curve using ESS considered concentrated solar power (CSP) and pumped storage hydroelectricity (PSH) as ESS for handling the duck-curve peaks [13], [14]. PV curtailment is economically better solution to flexibility than ESS as shown by better results in dealing with flexibility issues, this is pointed out by Segundo et al [15].…”

Section: Introductionmentioning

confidence: 99%

“…This paper proposes an MPCbased optimal scheduling of generating units, BESS, load shedding and PV curtailment. Current researches on duckcurve handling generally model the economic dispatch in an open-loop system one day ahead [13], [14]. The models are formulated based on the forecast of the weather conditions, the predictions of the demand and electricity price, and the optimal unit dispatch is carried out in one cycle for each hour of the day ahead.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power Penetration

et al. 2020

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In this paper, an energy management system (EMS) has been developed based on model predictive control (MPC) to optimally dispatch the power units and particularly handle the duck curve fast ramping events. The methodology is specifically developed considering higher penetration of solar photovoltaic power subjected to realistic physical constraints. Battery energy storage, load shedding and solar curtailment have been utilized to effectively control the duck curve fast ramping events. The proposed system has been assessed with the help of a case study using a 24-bus RTS system. Consequently, detailed flexibility analyses were carried out and it has been proven that the given energy management and control system is capable of handling fast ramping events of duck curve. Furthermore, it has been observed that the overall operation cost of the system is also minimized. The performance of the developed model is compared with traditional non-MPC based mixed-integer linear programming approaches and it has been concluded that MPC-based optimization is more economical and effective in handling the duck curve challenges.

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Optimal Thermal Unit Commitment for Solving Duck Curve Problem by Introducing CSP, PSH and Demand Response

Cited by 80 publications

References 21 publications

Optimal Placement and Sizing of Battery Energy Storage System Considering the Duck Curve Phenomenon

Optimal Placement and Sizing of Battery Energy Storage System Considering the Duck Curve Phenomenon

Energy Storage System Analysis Review for Optimal Unit Commitment

Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power Penetration

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