Maximum penetration determination of variable renewable energy generation: A case in Java–Bali power systems

2021 ◽  
Vol 163 ◽  
pp. 561-570
Author(s):  
Tumiran ◽  
Lesnanto Multa Putranto ◽  
Sarjiya ◽  
Eko Yudo Pramono
2019 ◽  
Vol 9 (7) ◽  
pp. 1484 ◽  
Author(s):  
Xiangwu Yan ◽  
Weichao Zhang

Due to the irreversible energy substitution from fossil fuels to clean energy, the development trend of future power systems is based on renewable energy generation. However, due to the incompatibility of converter-based non-dispatchable renewable energy generation, the stability and reliability of traditional power systems deteriorate as more renewables are introduced. Since conventional power systems are dominated by synchronous machines (SM), it is natural to utilize a virtual synchronous generator (VSG) control strategy that intimates SM characteristics on integrated converters. The VSG algorithm developed in this paper originates from mimicking mathematic models of synchronous machines. Among the different models of implementation, the second-order model is simple, stable, and compatible with the control schemes of current converters in traditional power systems. The VSG control strategy is thoroughly researched and case studied for various converter-interfaced systems that include renewable generation, energy storage, electric vehicles (EV), and other energy demands. VSG-based integration converters can provide grid services such as spinning reserves and inertia emulation to the upper grids of centralized plants, distributed generation networks, and microgrids. Thus, the VSG control strategy has paved a feasible way for an evolutionary transition to a power electronics-based future power grid. By referring to the knowledge of traditional grids, a hierarchical system of operations can be established. Finally, generation and loads can be united in universal compatibility architecture under consolidated synchronous mechanisms.


Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1333 ◽  
Author(s):  
Diego Francisco Larios ◽  
Enrique Personal ◽  
Antonio Parejo ◽  
Sebastián García ◽  
Antonio García ◽  
...  

The complexity of power systems is rising mainly due to the expansion of renewable energy generation. Due to the enormous variability and uncertainty associated with these types of resources, they require sophisticated planning tools so that they can be used appropriately. In this sense, several tools for the simulation of renewable energy assets have been proposed. However, they are traditionally focused on the simulation of the generation process, leaving the operation of these systems in the background. Conversely, more expert SCADA operators for the management of renewable power plants are required, but their training is not an easy task. SCADA operation is usually complex, due to the wide set of information available. In this sense, simulation or co-simulation tools can clearly help to reduce the learning curve and improve their skills. Therefore, this paper proposes a useful simulator based on a JavaScript engine that can be easily connected to any renewable SCADAs, making it possible to perform different simulated scenarios for novel operator training, as if it were a real facility. Using this tool, the administrators can easily program those scenarios allowing them to sort out the lack of support found in setting up facilities and training of novel operator tasks. Additionally, different renewable energy generation models that can be implemented in the proposed simulator are described. Later, as a use example of this tool, a study case is also performed. It proposes three different wind farm generation facility models, based on different turbine models: one with the essential generation turbine function obtained from the manufacturer curve, another with an empirical model using monotonic splines, and the last one adding the most important operational states, making it possible to demonstrate the usefulness of the proposed simulation tool.


Energies ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 171 ◽  
Author(s):  
Hua Zhou ◽  
Huahua Wu ◽  
Chengjin Ye ◽  
Shijie Xiao ◽  
Jun Zhang ◽  
...  

With the rapid growth of renewable energy generation, it has become essential to give a comprehensive evaluation of renewable energy integration capability in power systems to reduce renewable generation curtailment. Existing research has not considered the correlations between wind power and photovoltaic (PV) power. In this paper, temporal and spatial correlations among different renewable generations are utilized to evaluate the integration capability of power systems based on the copula model. Firstly, the temporal and spatial correlation between wind and PV power generation is analyzed. Secondly, the temporal and spatial distribution model of both wind and PV power generation output is formulated based on the copula model. Thirdly, aggregated generation output scenarios of wind and PV power are generated. Fourthly, wind and PV power scenarios are utilized in an optimal power flow calculation model of power systems. Lastly, the integration capacity of wind power and PV power is shown to be able to be evaluated by satisfying the reliability of power system operation. Simulation results of a modified IEEE RTS-24 bus system indicate that the integration capability of renewable energy generation in power systems can be comprehensively evaluated based on the temporal and spatial correlations of renewable energy generation.


2017 ◽  
Vol 70 ◽  
pp. 1090-1098 ◽  
Author(s):  
Giancarlo Aquila ◽  
Edson de Oliveira Pamplona ◽  
Anderson Rodrigo de Queiroz ◽  
Paulo Rotela Junior ◽  
Marcelo Nunes Fonseca

2021 ◽  
Vol 23 (06) ◽  
pp. 1128-1140
Author(s):  
Zahira Tabassum ◽  
◽  
Dr.Chandrashekhar Shastry ◽  

Excessive use of traditional energy sources such as fossil fuels has resulted in significant environmental deterioration. India is one of the world’s fastest-growing energy consumers, and it is making continual efforts to increase renewable energy generation. The use of renewable energy sources to generate electricity is expanding every day. Renewable energy integration with existing power systems is a difficult endeavor that necessitates strategy and development. Climate-friendly energy systems will result from the use of renewable energy sources in power generation, as they lower CO2 emissions caused by fossil fuels used in conventional power generation. This research looks at a renewable energy scenario using Gujarat as a case study, which is a leader in renewable energy generation. The policies taken by the Gujarat government to increase renewable energy’s participation in the energy mix, as well as the challenges and potential solutions for boosting the deployment of renewable energy sources across Gujarat, are discussed. This study can be used as a guide for policymakers and researchers in other states and around the world who want to boost renewable energy share.


Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6333
Author(s):  
Ning Zhang ◽  
Nien-Che Yang ◽  
Jian-Hong Liu

With high proportions of renewable energy generation in power systems, the power system dispatch with renewable energy generation has currently become a popular research direction. In our study, we propose a multi-objective dispatch model for a hybrid microgrid comprising a wind generator, photovoltaic (PV) generator, and an energy storage system to optimize the time-of-use (TOU) electricity price. The objective of the proposed multi-objective dispatch model is to maximize the profit of the power company and demand users, and minimize the proportion of users abandoning PV power and wind power. The elastic price of the load demand with a linear function is employed to optimize the TOU electricity price. Finally, we applied five test cases to validate the practicability of the multi-objective dispatch model.


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