scholarly journals Selection of a Critical Time Scale of Real-Time Dispatching for Power Systems With High Proportion Renewable Power Sources

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 52257-52267
Author(s):  
Yue Chen ◽  
Zhizhong Guo ◽  
Hongbo Li ◽  
Yi Yang ◽  
Guizhong Wang ◽  
...  
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Time Scale ◽  
Critical Time ◽  
Power Sources ◽  
Renewable Power ◽  
Selection Of

Exploiting Time Scale Separation for Efficient Real-Time Optimization of Integrated Shipboard Power Systems

2008 ◽  
Author(s):  
Gayathri Seenumani ◽  
Jing Sun ◽  
Huei Peng
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Computational Efficiency ◽  
Time Scale ◽  
Trajectory Optimization ◽  
Scale Separation ◽  
Power Sources ◽  
Shipboard Power Systems ◽  
Time Scale Separation ◽  
Trade Offs

Ship-board integrated power systems (IPS) play a crucial role in the all-electric ships (AES) initiative, where the power generation, conversion and distribution are done on a common electric platform. Along with many advantages of the IPS, its inter-connectivity presents a major opportunity as well a challenge for reconfiguration control. To ensure overall optimal performance while sustaining the critical ship service loads, the reconfiguration problem can be formulated as a trajectory optimization problem with the inputs to power sources as optimization variables. The high dimensional and nonlinear nature, along with the extended time horizon involved, makes many grid and gradient based methodologies infeasible for this application, especially when real-time requirements are considered. This paper, motivated by the IPS reconfiguration control, proposes strategies for improving the real-time computational efficiency of the IPS optimization by leveraging the time scale separation of its dynamics. The trade-offs between the computational efficiency and optimization accuracy are analyzed and a numerical example is provided to illustrate the effectiveness of the proposed algorithm.

scholarly journals Frequency Response Characteristic (FRC) Curve and Fast Frequency Response Assessment in High Renewable Power Systems

2020 ◽  
Author(s):  
Shutang You
Keyword(s):  
Power Systems ◽  
Frequency Response ◽  
Real Time ◽  
Response Assessment ◽  
Response Characteristic ◽  
Assessment Method ◽  
Frequency Response Characteristic ◽  
Dynamic Simulations ◽  
Renewable Power ◽  
Response Performance

This letter introduces a frequency response characteristic (FRC) curve and its application in high renewable power systems. In addition, the letter presents a method for fast frequency response assessment and frequency nadir prediction without performing dynamic simulations using detailed models. The proposed FRC curve and fast frequency response assessment method are useful for operators to understand frequency response performance of high renewable systems in real time.

scholarly journals Day-ahead renewable scenario forecasts based on generative adversarial networks

2020 ◽  
Author(s):  
Congmei Jiang ◽  
Yongfang Mao ◽  
Yi Chai ◽  
Mingbiao Yu
Keyword(s):  
Power Systems ◽  
Renewable Resources ◽  
Large Scale ◽  
Generative Adversarial Networks ◽  
Power Sources ◽  
Renewable Power ◽  
Adversarial Networks ◽  
Future Behavior ◽  
Large Scale Integration ◽  
Scale Integration

<p>With the increasing penetration of renewable resources such as wind and solar, the operation and planning of power systems, especially in terms of large-scale integration, are faced with great risks due to the inherent stochasticity of natural resources. Although this uncertainty can be anticipated, the timing, magnitude, and duration of fluctuations cannot be predicted accurately. In addition, the outputs of renewable power sources are correlated in space and time, and this brings further challenges for predicting the characteristics of their future behavior. To address these issues, this paper describes an unsupervised method for renewable scenario forecasts that considers spatiotemporal correlations based on generative adversarial networks (GANs), which have been shown to generate high-quality samples. We first utilized an improved GAN to learn unknown data distributions and model the dynamic processes of renewable resources. We then generated a large number of forecasted scenarios using stochastic constrained optimization. For validation, we used power-generation data from the National Renewable Energy Laboratory wind and solar integration datasets. The experimental results validated the effectiveness of our proposed method and indicated that it has significant potential in renewable scenario analysis.</p>

scholarly journals Probabilistic Optimal Power Flow for Day-Ahead Dispatching of Power Systems with High-Proportion Renewable Power Sources

2020 ◽  
Vol 12 (2) ◽  
pp. 518
Author(s):  
Yue Chen ◽  
Zhizhong Guo ◽  
Hongbo Li ◽  
Yi Yang ◽  
Abebe Tilahun Tadie ◽  
...  
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Test System ◽  
Power Sources ◽  
Renewable Power ◽  
Point Estimate Method ◽  
Optimal Power ◽  
Simulation Results ◽  
Point Estimation Method

With the increasing proportion of uncertain power sources in the power grid; such as wind and solar power sources; the probabilistic optimal power flow (POPF) is more suitable for the steady state analysis (SSA) of power systems with high proportions of renewable power sources (PSHPRPSs). Moreover; PSHPRPSs have large uncertain power generation prediction error in day-ahead dispatching; which is accommodated by real-time dispatching and automatic generation control (AGC). In summary; this paper proposes a once-iterative probabilistic optimal power flow (OIPOPF) method for the SSA of day-ahead dispatching in PSHPRPSs. To verify the feasibility of the OIPOPF model and its solution algorithm; the OIPOPF was applied to a modified Institute of Electrical and Electronic Engineers (IEEE) 39-bus test system and modified IEEE 300-bus test system. Based on a comparison between the simulation results of the OIPOPF and AC power flow models; the OIPOPF model was found to ensure the accuracy of the power flow results and simplify the power flow model. The OIPOPF was solved using the point estimate method based on Gram–Charlier expansion; and the numerical characteristics of the line power were obtained. Compared with the simulation results of the Monte Carlo method; the point estimation method based on Gram–Charlier expansion can accurately solve the proposed OIPOPF model

scholarly journals Optimal design of a coproduction system of electricity and hydrogen to manage imbalances resulting from forecast errors in photovoltaic outputs

2018 ◽  
Vol 64 ◽  
pp. 06009
Author(s):  
Matsuhashi Ryuji ◽  
Yoshioka Tsuyoshi
Keyword(s):  
Power Systems ◽  
Mixed Integer ◽  
Renewable Portfolio Standard ◽  
Forecast Errors ◽  
Photovoltaic Systems ◽  
Power Sources ◽  
Renewable Power ◽  
High Tariff ◽  
Power To Gas ◽  
Feed In Tariff

Renewable power sources are increasing mainly because of economic institutions such as renewable portfolio standard or feed-in tariff program. In Japan, the feed-in tariff program triggered explosive growth of photovoltaic systems because of its high tariff level. Although mass introduction of photovoltaic systems certainly contributes to reduce CO2 emissions, it causes instability issues in power systems. One of the most serious issues is management of imbalances resulting from forecast errors in photovoltaic outputs. On the other hand, power-to-gas technologies are attracting our attention, since these technologies could convert surplus of renewable energy to other energy carriers. In particular, hydrogen is efficiently produced from electricity using electrolysis. We could use hydrogen to manage the imbalances by the system, in which uncertain parts of photovoltaic outputs are used to produce hydrogen. In this paper, we propose a coproduction system of electricity and hydrogen to reduce the imbalances. For this purpose, a novel mathematical model is developed, in which we determine the structure of the coproduction system with a mixed integer linear programming method. Evaluated results indicated that the coproduction system is economical under appropriate capacity of the electrolyzer.

An advanced control system for the optimal operation and management of medium size power systems with a large penetration from renewable power sources

1997 ◽  
Vol 12 (2) ◽  
pp. 137-149 ◽  
Author(s):  
E. Nogaret ◽  
G. Stavrakakis ◽  
G. Kariniotakis ◽  
M. Papadopoulos ◽  
N. Hatziargyriou ◽  
...  
Keyword(s):  
Control System ◽  
Power Systems ◽  
Optimal Operation ◽  
Medium Size ◽  
Power Sources ◽  
Renewable Power ◽  
Advanced Control ◽  
Operation And Management

scholarly journals Development of an Optimization Model to Manage Imbalances in Power Systems by Local Power Retail Companies

2019 ◽  
Vol 260 ◽  
pp. 02003
Author(s):  
Ryuji Matsuhashi
Keyword(s):  
Power Systems ◽  
Solar Power ◽  
Mixed Integer ◽  
Stable Operation ◽  
Forecast Errors ◽  
Local Power ◽  
Power Sources ◽  
Renewable Power ◽  
Short Lead Time ◽  
High Tariff

The feed-in tariff (FIT) programs resulted in rapid growth of renewable power sources in various countries. In Japan, the program particularly triggered explosive growth of solar power generations because of its short lead-time and high tariff level. Although mass introduction of renewable power sources certainly contributes to reduce CO2 emissions, it causes serious instability issues in power systems. One of the most serious issues is management of imbalances resulting from forecast errors in solar power generations. These imbalances must be compensated so as to keep stable operation in power systems. On the other hand, local power retail companies are increasing nowadays in various countries including Japan. These companies are mainly procuring renewable power sources such as solar power systems.Taking these circumstances into consideration, this article aims at exploring measures to manage the imbalances of power systems by local power retail companies. For this purpose, we developed a model in mixed integer linear programming to operate power systems dealing with the imbalances. Evaluated results using the model indicated the followings; appropriate adoption of stationary or home batteries is shown to economically compensate the imbalances by local power retail companies.

Structure and Parameter Optimization of Renewable-Based Hybrid Power Complexes

2018 ◽  
pp. 352-382 ◽  
Author(s):  
Alexey Genna'evich Vaskov ◽  
Mikhail Georgievich Tyagunov ◽  
Tatiana Aleksandrovna Shestopalova ◽  
Galina Vladimirovna Deryugina ◽  
Ivan Ishchenko
Keyword(s):  
Power Systems ◽  
Full Description ◽  
Hydro Power ◽  
Power Sources ◽  
Future Design ◽  
Hybrid Power ◽  
Renewable Power ◽  
Hybrid Complex ◽  
Distributed Power Systems ◽  
Usage Patterns

Fundamental characteristics of distributed power systems and usage patterns of renewables in such systems are considered in the chapter. The chapter presents a full description of a hybrid power complex consisteing of renewable power sources, converters, energy storages, heat and electricity transmission and distribution devices, controlled electrical and heat consumers, etc. Special features of wind, solar, and hydro power plant operational states at self-balanced hybrid power complexes are given. A description of controlled consumers characteristics is presented as well as capability of consideration of hybrid complex being MicroGrid under their influence. The chapter also prescribes examples of technical and economical features of hybrid power complexes of different structures, their future design, and development.

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