Allocation of reactive power support, active loss balancing and demand interruption ancillary services in MicroGrids

2010 ◽  
Vol 80 (10) ◽  
pp. 1267-1276 ◽  
Author(s):  
Mário Helder Gomes ◽  
João Tomé Saraiva
2020 ◽  
Vol 10 (20) ◽  
pp. 7106
Author(s):  
Charis S. Demoulias ◽  
Kyriaki-Nefeli D. Malamaki ◽  
Spyros Gkavanoudis ◽  
Juan Manuel Mauricio ◽  
Georgios C. Kryonidis ◽  
...  

The gradual displacement of synchronous generators driven by conventional power plants, due to the increasing penetration of distributed renewable energy sources (DRES) in distribution grids, is creating a shortage of crucial ancillary services (AS) which are vital for the frequency and voltage stability of the grid. These AS, and some new ones, could now be offered by the DRES, particularly those that are converter interfaced, in a coordinated way in order to preserve the grid stability and resilience. Although recent standards and grid codes specify that the DRES exhibit some system support functions, there are no specifications on how to measure and quantify (M & Q) them both at DRES level and in aggregated form. The M & Q of AS is crucial, since it would allow the AS to be treated as tradable AS in the current and future AS markets. This paper attempts to define a number of AS that can be offered by converter-interfaced DRES and suggests methods for their M & Q. The new AS addressed are: (1) inertial response; (2) primary frequency response; (3) active power smoothing (ramp-rate limitation); (4) exchange of reactive power for voltage regulation; (5) fault-ride-through (FRT) and contribution to fault clearing; (6) voltage harmonic mitigation. Additionally, a rough estimation of the additional investment and operational cost, as well as the financial benefits associated with each AS is provided in order to form the basis for the development of business models around each AS in the near future.


2014 ◽  
Vol 953-954 ◽  
pp. 505-508
Author(s):  
Xiao Du ◽  
Zhi Qiang Dai ◽  
Huan Liu ◽  
Si Ming Wei ◽  
Yi Gong Zhang ◽  
...  

With the development of concentrated wind power areas, new energy’s dispatching problems are more prominent with its fast expansion. However, we can maximize the utilization of wind power under power curtailment conditions by optimal wind power dispatching. The paper studies on the basic theories of wind power turbines, and analyses the power’s control and output characteristics of wind turbine. By studying the unit commitment of wind turbines, this paper provides a strategy for optimal dispatch in wind power generation. The calculation results show that the total active and reactive power output of the wind farm match the request of dispatch center. And the total active loss and total reactive loss is the least in the meantime.


2021 ◽  
Author(s):  
F. Reiskup ◽  
M. Jurik ◽  
M. Ptacek ◽  
M. Holub

Author(s):  
Clainer Bravin Donadel ◽  
Jussara Farias Fardin ◽  
Lucas Frizera Encarnação

AbstractNowadays, ancillary services in electrical distribution networks (e. g. voltage support and reactive power control), usually provided by capacitor banks, start to be performed by distributed generation units (DGs). In this way, several papers have been studying the use of DGs as reactive power providers, and the power electronic/market regulation involved in this new scenario. However, the authors commonly consider a full implementation of Smart Grid philosophy, i. e., there are appropriate communications between DGs and distribution network operator (DNO)’s control centers, but it is not a close reality in many developing countries, due to high costs involved in their implementation. Therefore, this paper proposes a new method in order to use DGs as ancillary services providers in a short and medium-term (called in the literature Pre Smart Grid), in which there are not effective communications between DGs and control centers of DNOs. The proposed method uses a non-uniform DGs distribution, obtained from local atlas of wind, solar, hydraulic and biomass power. The methodology presented accurate results when compared with a PSO-based method, widely used to solve optimization problems, but needs a complete Smart Grid philosophy implementation to work.


2015 ◽  
Vol 135 (7) ◽  
pp. 437-445
Author(s):  
Yuki Mukai ◽  
Akira Koide ◽  
Takao Tsuji ◽  
Tsutomu Oyama ◽  
Kenko Uchida

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