scholarly journals An Approach for Increasing Wind Power Penetration in Deregulated Power System

2016 ◽  
Vol 23 (3) ◽  
pp. 1282-1293
Author(s):  
Mohsen Eslami nia ◽  
Mohsen Mohammadian ◽  
Mohammad Hasan Hemmatpour
Keyword(s):  
Power System ◽  
Wind Power ◽  
Deregulated Power System

A mutual approach for profit-based unit commitment in deregulated power system integrated with renewable energy sources

2020 ◽  
pp. 014233122096631
Author(s):  
T Anbazhagi ◽  
K Asokan ◽  
R AshokKumar
Keyword(s):  
Power System ◽  
Objective Function ◽  
Wind Power ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Optimal Solution ◽  
Lévy Flight ◽  
Levy Flight ◽  
Mutual Approach ◽  
Deregulated Power System

This paper proposes a mutual technique for solving the profit-based unit commitment (PBUC) problem in deregulated power system integrated with wind power. The proposed mutual approach is the joined execution of different solution techniques and known by the non-dominated sorting of moth fly optimization (MFO) with levy flight search (NSMFLF) technique. In the proposed approach, the levy flight search and the traditional moth flame optimization looking conduct is prepared in parallel as for the objective function and update the conceivable combination of generation units. The objective function maximizes the profit of the generating companies as for the revenue and total fuel cost in light of the gauge estimations of power demand, price and reserve power. Here, the uncertainty events of the wind power are predicted by utilizing the artificial intelligence techniques. Thus, the system is ensured with the high utilization of wind power. Finally, the non-dominated sorting is performed to choose the optimal solution from the conceivable generated combinations. The optimal combination used to maximize the profit of the generating companies and solve the PBUC problem in light of the objective function. The proposed method is implemented in the matrix laboratory working stage and the outcomes are analyzed with the current strategies.

scholarly journals Optimal dispatch model considering the bidding uncertainty of wind power in deregulated power system

2017 ◽  
Vol 2017 (13) ◽  
pp. 2389-2394
Author(s):  
Xiang Xia ◽  
You Lin ◽  
Jianliang Fang ◽  
Wei Jiang ◽  
Yingjing He ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Optimal Dispatch ◽  
Deregulated Power System

A Large-Capacity of Wind Power Generations from Power System Viewpoints

2009 ◽  
Vol 129 (5) ◽  
pp. 299-302 ◽  
Author(s):  
Akihiko YOKOYAMA
Keyword(s):  
Power System ◽  
Wind Power ◽  
Large Capacity

Conceptual Study of Power System Stabilization and Supply-Demand Balancing for Expansion of the Introduction of Wind Power Generation in Poland

2013 ◽  
Vol 133 (4) ◽  
pp. 350-357 ◽  
Author(s):  
Hiroaki Sugihara ◽  
Akihiro Ogawa ◽  
Manabu Kuramoto ◽  
Fumio Ishikawa ◽  
Hideo Yata ◽  
...  
Keyword(s):  
Power Generation ◽  
Power System ◽  
Wind Power ◽  
Wind Power Generation ◽  
Conceptual Study

Optimization of integrated wind power grids based on locational marginal prices using restructured power system

2013 ◽  
Vol 1 (1) ◽  
pp. 9-17
Author(s):  
Dhayalini K ◽  
◽  
Deepu M.S ◽  
Sathiyamoorthy S ◽  
◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Grids ◽  
Restructured Power System ◽  
Marginal Prices ◽  
Locational Marginal Prices

Dispatch framework of power system with heat storage facilities in combined heat and power plants for wind power accommodation

2019 ◽  
Vol 14 (3) ◽  
pp. 335-343
Author(s):  
Huan Ma ◽  
Fei Xu ◽  
Qun Chen ◽  
Kang Hu ◽  
Lei Chen ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Heat Storage ◽  
Combined Heat And Power ◽  
Storage Facilities

scholarly journals A Coordinated Control of Offshore Wind Power and BESS to Provide Power System Flexibility

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4650
Author(s):  
Martha N. Acosta ◽  
Francisco Gonzalez-Longatt ◽  
Juan Manuel Roldan-Fernandez ◽  
Manuel Burgos-Payan
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Wind Power ◽  
Single Layer ◽  
Coordinated Control ◽  
Test System ◽  
Power Converter ◽  
Control Logic ◽  
Battery Energy Storage ◽  
Battery Energy

The massive integration of variable renewable energy (VRE) in modern power systems is imposing several challenges; one of them is the increased need for balancing services. Coping with the high variability of the future generation mix with incredible high shares of VER, the power system requires developing and enabling sources of flexibility. This paper proposes and demonstrates a single layer control system for coordinating the steady-state operation of battery energy storage system (BESS) and wind power plants via multi-terminal high voltage direct current (HVDC). The proposed coordinated controller is a single layer controller on the top of the power converter-based technologies. Specifically, the coordinated controller uses the capabilities of the distributed battery energy storage systems (BESS) to store electricity when a logic function is fulfilled. The proposed approach has been implemented considering a control logic based on the power flow in the DC undersea cables and coordinated to charging distributed-BESS assets. The implemented coordinated controller has been tested using numerical simulations in a modified version of the classical IEEE 14-bus test system, including tree-HVDC converter stations. A 24-h (1-min resolution) quasi-dynamic simulation was used to demonstrate the suitability of the proposed coordinated control. The controller demonstrated the capacity of fulfilling the defined control logic. Finally, the instantaneous flexibility power was calculated, demonstrating the suitability of the proposed coordinated controller to provide flexibility and decreased requirements for balancing power.

scholarly journals Wind Power Accommodation Method for Regional Integrated Heat-Power System Considering Generation and Load Uncertainties

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Dongmei Yang ◽  
Zhihong Yang ◽  
Guoxin He ◽  
Jian Geng ◽  
Junjie Ligao
Keyword(s):  
Power System ◽  
Wind Power ◽  
Heat Power
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