Review of Research on Power Accommodation of Power Systems with High Proportion Renewable Power Sources

2019 ◽  
Author(s):  
Yue Chen ◽  
Zhizhong Guo ◽  
Hongbo Li ◽  
Guizhong Wang ◽  
Yingwei Hou ◽  
...  
Keyword(s):  
Power Systems ◽  
Power Sources ◽  
Renewable Power

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.

Optimizing Design of Dual-Input Buck DC/DC Converter

2011 ◽  
Vol 403-408 ◽  
pp. 577-584
Author(s):  
Yan Li
Keyword(s):  
Power Systems ◽  
Design Method ◽  
Buck Converter ◽  
Power Sources ◽  
Renewable Power ◽  
Operation Modes ◽  
Multiple Input ◽  
Optimizing Design ◽  
Single Input ◽  
Multiple Operation

In hybrid renewable power systems, the use of a multiple-input dc/dc converter (MIC) leads to simpler circuit and lower cost, compared to the conventional use of several single-input converters. This paper focuses on the optimizing design of MIC. Different from a single–input DC/DC converter, the parameters design of a MIC is very complicated. This is because the converter will operate in multiple operation modes, in which the power sources can deliver power o the load either simultaneously or individually. In this paper, an optimizing design method is proposed with the considerations of the multiple operation modes. A dual-input Buck converter is taken as an example to show the design method and a prototype is built to verify the theoretical analysis.

Fast Method to the Unit Scheduling of Power Systems with Renewable Power Sources

2015 ◽  
pp. 37-41
Author(s):  
G.J. Osório ◽  
J.M. Lujano-Rojas ◽  
J. C. O. Matias ◽  
J. P. S. Catalão
Keyword(s):  
Power Systems ◽  
Fast Method ◽  
Power Sources ◽  
Renewable Power

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

scholarly journals Intercomparison between Switch 2.0 and GE MAPS Models for Simulation of High-Renewable Power Systems in Hawaii

2018 ◽  
Author(s):  
Matthias Fripp
Keyword(s):  
Power Systems ◽  
Power System ◽  
Open Source ◽  
System Analysis ◽  
Planning Process ◽  
Cost Model ◽  
Source Power ◽  
Power Sources ◽  
Renewable Power ◽  
Planning Models

Background: New open-source electric-grid planning models have the potential to improve power system planning and bring a wider range of stakeholders into the planning process for next-generation, high-renewable power systems. However, it has not yet been established whether open-source models perform similarly to the more established commercial models for power system analysis. This reduces their credibility and attractiveness to stakeholders, postponing the benefits they could offer. In this paper, we report the first model intercomparison between an open-source power system model and an established commercial production cost model. Results: We compare the open-source Switch 2.0 to GE Energy Consulting&rsquo;s Multi Area Production Simulation (MAPS), considering 18 scenarios of renewable energy adoption in Hawaii. We find that after configuring Switch with similar inputs to MAPS, the two models agree closely on hourly and annual production from all power sources. Comparing production gave an R2 value of 0.996 across all energy sources and scenarios, with R2 values in the range of 69&ndash;100 percent for individual sources. Conclusions: Although some disagreement remains between the two models, this work indicates that Switch is a viable choice for renewable integration modeling, at least for the small power systems considered here.

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