Coordination of Wind Farm and Pumped-Storage Hydro for a Self-Healing Power Grid

Golshani, Amir; Sun, Wei; Zhou, Qun; Zheng, Qipeng P.; Wang, Jianhui; Qiu, Feng

doi:10.1109/tste.2018.2819133

Cited by 74 publications

(42 citation statements)

References 18 publications

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“…where ρ water is the density of water (1000 kg/m 3 ), g is the gravitational acceleration (9.81 m/s 2 ), and H is the actual head of the PHS station [12]. Then, the volume of the water in the upper reservoir (in m 3 ), V water , was computed using Equation (8). At this point, the area required for the PHS station, A PHS , was computed using Equation (9) for a given mean depth, D [12].…”

Section: Modeling Of the Hydro Stationmentioning

confidence: 99%

“…It was found that in order to gain financial benefit from building the capital-intensive PHS, the exogenous market costs had to be very strong. In [8], a novel coordination strategy of a wind farm combined with PHS for a faster, reliable self-healing process in the grid restoration phase was proposed. The problem was formulated as a two-stage adaptive robust optimization and solved using the column-and-constraint generation (C&CG) decomposition algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Coordination of Wind Power and Pumped Hydro Energy Storage

et al. 2019

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A study combining wind power with pumped hydro energy storage for the Jordanian utility grid is presented. Three solvers of the Matlab optimization toolbox are used to find the optimal solution for the cost of energy in a combined on-grid system. Genetic algorithm, simulated annealing (SA), and pattern search (PS) solvers are used to find the optimal solution. The GA solution of 0.0955388 $/kWh is economically feasible. This is 28.7% lower than the electricity purchased from the conventional utility grid. The discounted payback period to recover the total cost is 10.271 years. The suggested configuration is shown to be feasible by comparing it to real measurements for this case and a previous wind-only case. It is shown that the indicators of the optimal solution are improved. For instance, carbon dioxide emissions (ECO2) and conventional grid energy purchases are reduced by 24.69% and 24.68%, respectively. Moreover, it is shown that the benefits of adding hydro storage, combined with increasing the number of wind turbine units, reduces the cost of energy of renewables (COERenewables). Therefore, combining hydro storage with wind power is economically, environmentally, and technically a more efficient alternative to the conventional power generation.

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Section: Modeling Of the Hydro Stationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Coordination of Wind Power and Pumped Hydro Energy Storage

et al. 2019

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“…Another approach introduced for self‐healing of distribution systems is the coordination of storage and renewable resources for self‐healing the system. In Reference , the coordination of the wind and the pumped storage power plant for self‐healing distribution systems is presented. This coordination, in addition to eliminating the negative effects of the wind power plant on normal operation, improves the performance of the system during self‐healing operation.…”

Section: Introductionmentioning

confidence: 99%

“…Another important issue to consider in this article is the use of backup feeders for system restoration. Backup feeders are only used in References for the restoration problem. In Reference , load shedding and islanding state are not considered for restoration.…”

Section: Introductionmentioning

confidence: 99%

Self‐healing optimization in active distribution network to improve reliability, and reduction losses, switching cost and load shedding

Choopani

Hedayati

Effatnejad

2020

Int Trans Electr Energ Syst

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Summary Self‐healing refers to the specific ability of the smart grid that takes precautionary actions before the fault. It also performs fault location, isolation, and service restoration to minimize network damage after the fault. This process is performed with the help of communications infrastructure and remote control. The main components of this article include the use of graph theory and binary particle swarm optimization algorithm for optimal switching, the use of particle swarm optimization algorithm and forward‐backward sweep load flow for load shedding and distributed generation rescheduling, investigating the effect of self‐healing on improved reliability, power losses reduction, and load shedding reduction and the present a new approach for self‐healing optimization and a new mathematical model. The problem of self‐healing due to nonlinear and unbounded constraints is one of the nonconvex mixed integer nonlinear programming optimization problems. The optimization problem becomes a convex mixed integer linear programming optimization problem using the proposed scheme. Due to the nonlinearity and the nonconvexity of the problem, commercial solvers are not able to solve this problem. Even the Baron solver, which is used to solve nonconvex nonlinear problems, cannot achieve the optimal global solution. However, the proposed method is easily able to achieve the optimal solution by eliminating the nonlinear and nonconvex element. A modified RBTS‐4 distribution system is used as a test system. The IEEE 33‐bus distribution system is used to validate the proposed method. The results of case studies demonstrate the effectiveness of the proposed methodology.

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“…En (Golshani et al, 2018), se aborda el problema de restablecimiento considerando el efecto de la generación eólica. En este caso se propone un problema de adaptación robusto de dos etapas.…”

Section: Introductionunclassified

Restauración de sistemas de potencia usando un modelo de programación lineal entera mixta

Pardo

López-Lezama

2020

Inf. tecnol.

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Coordination of Wind Farm and Pumped-Storage Hydro for a Self-Healing Power Grid

Cited by 74 publications

References 18 publications

Optimal Coordination of Wind Power and Pumped Hydro Energy Storage

Optimal Coordination of Wind Power and Pumped Hydro Energy Storage

Self‐healing optimization in active distribution network to improve reliability, and reduction losses, switching cost and load shedding

Restauración de sistemas de potencia usando un modelo de programación lineal entera mixta

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