A Comprehensive Dispatch Management System for Distributed Generation Based on Cloud-Computing Technology

2014 ◽  
Vol 716-717 ◽  
pp. 1156-1161 ◽  
Author(s):  
Jian Xing Zhang ◽  
Yu Zhang ◽  
Zhi Hui Cao ◽  
Jin Song Liu ◽  
Xin Xin Gu
Keyword(s):  
Power Generation ◽  
Cloud Computing ◽  
Power Systems ◽  
Technology Development ◽  
Interaction Mechanism ◽  
Cost Effective ◽  
Distribution Grid ◽  
Residential Areas ◽  
University Campuses ◽  
Battery Energy

At present, China has built a number of DG (distributed power generation) demonstration projects as part of intelligent cities, intelligent business parks, university campuses and residential areas. The interaction mechanism, among DGs-especially those with energy storage, the users and the distribution grid need to be clear; i.e. how to unify the coordination among solar power systems, small wind power generation systems, the battery energy reserve systems, and electrical vehicles, so as to optimize resources allocation, cut peak and compensate trough loads; how to enable future homes and business users has more flexibility, controllability on electricity usage thus to advance the technology development in the field of electricity usage. The above mentioned problems can be solved smoothly by researching on the comprehensive use of modern power electronic technologies, communication technologies, computer and network technologies, advanced sensor and measurement & control technology, to combine them together for monitoring, protection control, cloud computing , and management of power supply department for active distribution network after DG access, to constitute the comprehensive dispatching system based on the DG of cloud computing. Dispatching of DG for distance dispersion location and a huge number of terms, to based on the cloud computing is very cost-effective, and it is worthy of further study and application.

Using Scenarios to Evaluate Technology Development Options for Power Generation Equipment

2006 ◽  
Author(s):  
Flavio J. Franco
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Gas Turbines ◽  
Nuclear Reactor ◽  
Technology Development ◽  
Thermal Power ◽  
Primary Energy ◽  
Energy Sources ◽  
Power Generation Equipment

The world of power generation is currently facing a number of challenges and uncertainties, caused by technical, economic, political, geographical and social factors. Manufacturers of power generation equipment have to design their strategies for technology development taking into account these challenges and uncertainties. They have to set goals for the medium and the long term, which involve the commitment of huge amounts of resources. At the same time, given the uncertainty of the future, they have to try to reduce their risks. Scenario-Based Planning is a methodology to deal with uncertainty in making decisions for the long term. It does not tell planners what will probably happen but helps them to understand what may happen through an understanding of the relationships of cause and effect within the environment of interest. Taking gas turbines as an example, this paper shows an application of the method to the evaluation of the markets related to different primary energy sources and different technologies, within power generation scenarios given by the IEA and scenarios proposed in previous papers by the author. Although current power generation gas turbines are predominantly designed to burn natural gas, developments based on other primary energy sources will require gas turbines to run with different fuels (synthetic gas or hydrogen, for example), helium or CO2 (in high temperature nuclear reactor systems) or hot air (in hybrid solar thermal power systems). Wind power may also require backup from gas turbines, probably incorporating significant fuel flexibility. An estimate of the value of the potential markets related to these different applications of gas turbines is made in this paper. Historical and estimated experience curves for the technologies of interest and their dependence relationships are used in this analysis, with a system dynamics model as described in [1].

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

scholarly journals Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2503
Author(s):  
Paulo Rotella Junior ◽  
Luiz Célio Souza Rocha ◽  
Sandra Naomi Morioka ◽  
Ivan Bolis ◽  
Gianfranco Chicco ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Economic Analysis ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Residential Areas ◽  
Energy Storage Systems ◽  
Battery Energy Storage ◽  
Battery Energy Storage Systems ◽  
Battery Energy

Sources such as solar and wind energy are intermittent, and this is seen as a barrier to their wide utilization. The increasing grid integration of intermittent renewable energy sources generation significantly changes the scenario of distribution grid operations. Such operational challenges are minimized by the incorporation of the energy storage system, which plays an important role in improving the stability and the reliability of the grid. This study provides the review of the state-of-the-art in the literature on the economic analysis of battery energy storage systems. The paper makes evident the growing interest of batteries as energy storage systems to improve techno-economic viability of renewable energy systems; provides a comprehensive overview of key methodological possibilities for researchers interested in economic analysis of battery energy storage systems; indicates the need to use adequate economic indicators for investment decisions; and identifies key research topics of the analyzed literature: (i) photovoltaic systems with battery energy storage systems for residential areas, (ii) comparison between energy storage technologies, (iii) power quality improvement. The last key contribution is the proposed research agenda.

scholarly journals Application of Battery Energy Storage Systems for Primary Frequency Control in Power Systems with High Renewable Energy Penetration

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1379
Author(s):  
Md Ruhul Amin ◽  
Michael Negnevitsky ◽  
Evan Franklin ◽  
Kazi Saiful Alam ◽  
Seyed Behzad Naderi
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Storage Systems ◽  
Frequency Control ◽  
Battery Energy Storage ◽  
Battery Energy Storage Systems ◽  
Battery Energy ◽  
Primary Frequency ◽  
Primary Frequency Control

In power systems, high renewable energy penetration generally results in conventional synchronous generators being displaced. Hence, the power system inertia reduces, thus causing a larger frequency deviation when an imbalance between load and generation occurs, and thus potential system instability. The problem associated with this increase in the system’s dynamic response can be addressed by various means, for example, flywheels, supercapacitors, and battery energy storage systems (BESSs). This paper investigates the application of BESSs for primary frequency control in power systems with very high penetration of renewable energy, and consequently, low levels of synchronous generation. By re-creating a major Australian power system separation event and then subsequently simulating the event under low inertia conditions but with BESSs providing frequency support, it has been demonstrated that a droop-controlled BESS can greatly improve frequency response, producing both faster reaction and smaller frequency deviation. Furthermore, it is shown via detailed investigation how factors such as available battery capacity and droop coefficient impact the system frequency response characteristics, providing guidance on how best to mitigate the impact of future synchronous generator retirements. It is intended that this analysis could be beneficial in determining the optimal BESS capacity and droop value to manage the potential frequency stability risks for a future power system with high renewable energy penetrations.

scholarly journals Assessment of Energy Transition Policy in Taiwan—A View of Sustainable Development Perspectives

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4402
Author(s):  
Chun-Kai Wang ◽  
Chien-Ming Lee ◽  
Yue-Rong Hong ◽  
Kan Cheng
Keyword(s):  
Climate Change ◽  
Power Generation ◽  
Sustainable Development ◽  
Energy Transition ◽  
Cost Effective ◽  
Adaptive Policy ◽  
Electricity Saving ◽  
Transition Policy ◽  
Development Perspective

Energy transition has become a priority for adaptive policy and measures taken in response to climate change around the world. This is an opportunity and a challenge for the Taiwan government to establish a climate-resilient power generation mixed to ensure electricity security as well as climate change mitigation. This study adopted a sustainable development perspective and applied optimal control theory to establish a cost-effective model to evaluate a long-term (2050), climate-resilient power generation mix for Taiwan. Furthermore, this study applies the STIRPAT approach to predict the demand of electricity by 2050 for the demand side management. The results not only showed the share of various power generation mixed, but also recommended the trajectory of electricity saving by 2050.

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