Generic Dynamic Models for Modeling Wind Power Plants and Other Renewable Technologies in Large-Scale Power System Studies

2017 ◽  
Vol 32 (3) ◽  
pp. 1108-1116 ◽  
Author(s):  
Pouyan Pourbeik ◽  
Juan J. Sanchez-Gasca ◽  
Jayapalan Senthil ◽  
James D. Weber ◽  
Pouya Sajjad Zadehkhost ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Large Scale ◽  
Dynamic Models ◽  
Wind Power Plants

scholarly journals Flexible Modern Power System: Real-Time Power Balancing through Load and Wind Power

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1710 ◽  
Author(s):  
Abdul Basit ◽  
Tanvir Ahmad ◽  
Asfand Yar Ali ◽  
Kaleem Ullah ◽  
Gussan Mufti ◽  
...  
Keyword(s):  
Power System ◽  
Real Time ◽  
Wind Power ◽  
Power Plants ◽  
Large Scale ◽  
Power Requirement ◽  
Wind Power Plants ◽  
Large Scale Integration ◽  
Flexible Load ◽  
Scale Integration

Increasing large-scale integration of renewables in conventional power system has led to an increase in reserve power requirement owing to the forecasting error. Innovative operating strategies are required for maintaining balance between load and generation in real time, while keeping the reserve power requirement at its minimum. This research work proposes a control strategy for active power balance control without compromising power system security, emphasizing the integration of wind power and flexible load in automatic generation control. Simulations were performed in DIgSILENT for forecasting the modern Danish power system with bulk wind power integration. A high wind day of year 2020 was selected for analysis when wind power plants were contributing 76.7% of the total electricity production. Conventional power plants and power exchange with interconnected power systems utilize an hour-ahead power regulation schedule, while real-time series are used for wind power plants and load demand. Analysis showed that flexible load units along with wind power plants can actively help in reducing real-time power imbalances introduced due to large-scale integration of wind power, thus increasing power system reliability without enhancing the reserve power requirement from conventional power plants.

scholarly journals Grid-forming control strategies for blackstart by offshore wind farms

2020 ◽  
Author(s):  
Anubhav Jain ◽  
Jayachandra N. Sakamuri ◽  
Nicolaos A. Cutululis
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Large Scale ◽  
Wind Farm ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Stability Limit ◽  
Offshore Wind ◽  
Wind Power Plants

Abstract. Large-scale integration of renewable energy sources with power-electronic converters is pushing the power system closer to its dynamic stability limit. This has increased the risk of wide-area blackouts. Thus, the changing generation profile in the power system necessitates the use of alternate sources of energy such as wind power plants, to provide blackstart services in the future. This however, requires grid-forming and not the traditionally prevalent grid-following wind turbines. In this paper, four different grid-forming control strategies have been implemented in an HVDC-connected wind farm. A simulation study has been carried out to test the different control schemes for the different stages of energization of onshore load by the wind farm. Their transient behaviour during transformer inrush, converter pre-charge and de-blocking, and onshore block-load pickup, has been compared to demonstrate the blackstart capabilities of grid-forming wind power plants for early participation in power system restoration.

scholarly journals Grid-forming control strategies for black start by offshore wind power plants

2020 ◽  
Vol 5 (4) ◽  
pp. 1297-1313 ◽  
Author(s):  
Anubhav Jain ◽  
Jayachandra N. Sakamuri ◽  
Nicolaos A. Cutululis
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Large Scale ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Stability Limit ◽  
Offshore Wind ◽  
Advantages And Disadvantages ◽  
Wind Power Plants

Abstract. Large-scale integration of renewable energy sources with power-electronic converters is pushing the power system closer to its dynamic stability limit. This has increased the risk of wide-area blackouts. Thus, the changing generation profile in the power system necessitates the use of alternate sources of energy such as wind power plants, to provide black-start services in the future. However, this requires grid-forming and not the traditionally prevalent grid-following wind turbines. This paper introduces the general working principle of grid-forming control and examines four of such control schemes. To compare their performance, a simulation study has been carried out for the different stages of energization of onshore load by a high-voltage direct-current (HVDC)-connected wind power plant. Their transient behaviour during transformer inrush, converter pre-charging and de-blocking, and onshore block-load pickup has been compared and analysed qualitatively to highlight the advantages and disadvantages of each control strategy.

scholarly journals Optimal Re-Dispatching of Cascaded Hydropower Plants Using Quadratic Programming and Chance-Constrained Programming

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1604
Author(s):  
Krešimir Fekete ◽  
Srete Nikolovski ◽  
Zvonimir Klaić ◽  
Ana Androjić
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Chance Constrained Programming ◽  
Transmission Network ◽  
Wind Power Plants ◽  
Hydropower Plants ◽  
Optimization Stage ◽  
Optimization Methodology ◽  
Constrained Programming

Stochastic production from wind power plants imposes additional uncertainty in power system operation. It can cause problems in load and generation balancing in the power system and can also cause congestion in the transmission network. This paper deals with the problems of congestion in the transmission network, which are caused by the production of wind power plants. An optimization model for corrective congestion management is developed. Congestions are relieved by re-dispatching several cascaded hydropower plants. Optimization methodology covers the optimization period of one day divided into the 24 segments for each hour. The developed optimization methodology consists of two optimization stages. The objective of the first optimization stage is to obtain an optimal day-ahead dispatch plan of the hydropower plants that maximizes profit from selling energy to the day-ahead electricity market. If such a dispatch plan, together with the wind power plant production, causes congestion in the transmission network, the second optimization stage is started. The objective of the second optimization stage is the minimization of the re-dispatching of cascaded hydropower plants in order to avoid possible congestion. The concept of chance-constrained programming is used in order to consider uncertain wind power production. The first optimization stage is defined as a mixed-integer linear programming problem and the second optimization stage is defined as a quadratic programming (QP) problem, in combination with chance-constrained programming. The developed optimization model is tested and verified using the model of a real-life power system.

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