Shaping future power systems with high penetration renewable generation

2018 ◽  
Vol 28 (7) ◽  
pp. e2681
Keyword(s):  
Power Systems ◽  
Renewable Generation ◽  
High Penetration

scholarly journals On-Line Estimation Assessment of Power Systems Inertia With High Penetration of Renewable Generation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 62689-62697 ◽  
Author(s):  
Flavio Allella ◽  
Elio Chiodo ◽  
Giorgio Maria Giannuzzi ◽  
Davide Lauria ◽  
Fabio Mottola
Keyword(s):  
Power Systems ◽  
Renewable Generation ◽  
High Penetration ◽  
On Line

High penetration renewable generation within Australian isolated and remote power systems

Energy ◽  
2019 ◽  
Vol 168 ◽  
pp. 684-692 ◽  
Author(s):  
James Hamilton ◽  
Michael Negnevitsky ◽  
Xiaolin Wang ◽  
Sarah Lyden
Keyword(s):  
Power Systems ◽  
Renewable Generation ◽  
High Penetration

scholarly journals A Game-Theoretic Loss Allocation Approach in Power Distribution Systems with High Penetration of Distributed Generations

Mathematics ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. 158
Author(s):  
Farzaneh Pourahmadi ◽  
Payman Dehghanian
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Power Distribution Systems ◽  
Loss Allocation ◽  
Distributed Generators ◽  
High Penetration ◽  
Game Theoretic ◽  
Allocation Approach

Allocation of the power losses to distributed generators and consumers has been a challenging concern for decades in restructured power systems. This paper proposes a promising approach for loss allocation in power distribution systems based on a cooperative concept of game-theory, named Shapley Value allocation. The proposed solution is a generic approach, applicable to both radial and meshed distribution systems as well as those with high penetration of renewables and DG units. With several different methods for distribution system loss allocation, the suggested method has been shown to be a straight-forward and efficient criterion for performance comparisons. The suggested loss allocation approach is numerically investigated, the results of which are presented for two distribution systems and its performance is compared with those obtained by other methodologies.

scholarly journals Heterogeneous Inertia Estimation for Power Systems with High Penetration of Converter-Interfaced Generation

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5047
Author(s):  
Diala Nouti ◽  
Ferdinanda Ponci ◽  
Antonello Monti
Keyword(s):  
Power Systems ◽  
Estimation Algorithm ◽  
System Stability ◽  
Rotational Inertia ◽  
Heterogeneous Distribution ◽  
Proper Actions ◽  
High Penetration ◽  
System Operator ◽  
And Control ◽  
System Inertia

The increasing and fast deployment of distributed generation is posing challenges to the operation and control of power systems due to the resulting reduction in the overall system rotational inertia and damping. Therefore, it becomes quite crucial for the transmission system operator to monitor the varying system inertia and damping in order to take proper actions to maintain the system stability. This paper presents an inertia estimation algorithm for low-inertia systems to estimate the inertia (both mechanical and virtual) and damping of systems with mixed generation resources and/or the resource itself. Moreover, the effect of high penetration of distributed energy resources and the resulting heterogeneous distribution of inertia on the overall system inertia estimation is investigated. A comprehensive set of case studies and scenarios of the IEEE 39-bus system provides results to demonstrate the performance of the proposed estimator.

scholarly journals Quantification of operating reserves with high penetration of wind power considering extreme values

2020 ◽  
Vol 10 (2) ◽  
pp. 1693
Author(s):  
Johan S. Obando ◽  
Gabriel González ◽  
Ricardo Moreno
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Extreme Values ◽  
Extreme Value Distribution ◽  
Test System ◽  
Generalized Extreme Value Distribution ◽  
Mixed Integer ◽  
Linear Quadratic ◽  
High Penetration ◽  
Range Of Values

The high integration of wind energy in power systems requires operating reserves to ensure the reliability and security in the operation. The intermittency and volatility in wind power sets a challenge for day-ahead dispatching in order to schedule generation resources. Therefore, the quantification of operating reserves is addressed in this paper using extreme values through Monte-Carlo simulations. The uncertainty in wind power forecasting is captured by a generalized extreme value distribution to generate scenarios. The day-ahead dispatching model is formulated as a mixed-integer linear quadratic problem including ramping constraints. This approach is tested in the IEEE-118 bus test system including integration of wind power in the system. The results represent the range of values for operating reserves in day-ahead dispatching.

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