Biographical Information
Yosuke Nakanishi received the degree of B.S. and M.S. in Electrical Engineering from Waseda University and Ph.D. from Tokyo Metropolitan University in 1978, 1980, and 1996 respectively. He joined Fuji Electric Co. in 1980. After starting his career in R&D section, he has mainly dedicated himself to Power system analysis work as well as development of power system simulators and engineering programs for monitoring control systems. Now, he is a professor of the Graduate School of Environment and Energy Engineering in Waseda University. His research interests include simulation and analysis of power systems and distribution power systems. He received a Prize Paper Award from IEEE Power Engineering Education committee 1991. He is a senior member of the IEE of Japan, a member of IEEE and a member of CIGRE. He is now a convenor of Investigation Committee on Grid Technologies for large amount of Wind Power, IEEJ.
He will give a talk on “Transmission Planning for Large Penetration of Variable Renewable energy”.
Abstract
A large-scale transforming to renewable energy resources from fossil fuel power generations is in worldwide progress. In fact, those renewable Energies such as hydropower, geothermal, bioenergy, solar, wind and ocean energy are expected as the countermeasure of reducing the Green House Gas (GHG) and the energy security because of available energies in nations poor in energy resource. However, it is challenging to integrate RE to the existing power grid. Especially photovoltaics (PV) and wind turbines (WT), so-called Variable renewable Energy (VRE), are intermitted or fluctuated over shorter time scales depending on the natural environment and also there is regional disparity in the potential of those power. Therefore, we have to develop the long-term planning method from the conventional power system to transit to a system with a high share of those VRE. Especially, wind farms in Japan will be scattered in geographically remote areas far from demand center such as Hokkaido and Tohoku where there are not enough power grids, then the construction cost minimization of wind farms and transmission networks is a considerably key issue. In this special session, I would like to look back on one example of transmission planning dedicated wind power in Hokkaido, Tohoku and Kyushu areas toward 2050, by reference to the project “Study on construction of Electric Power system aimed at renewable energy expansion” supported by Ministry of Environment, and also I would like to introduce the new trend for planning model and tools to expand variable renewable reported by IRENA. Moreover, as one of the technologies to accomplish the planning, geospatial information technologies are powerful tool in their application to WF generation expansion planning (WF-GEP), and the transmission expansion planning (TEP). I would like to talk the optimization method both to site wind farms and to expand the transmission network using the geospatial platform based on our research.
Biographical Information
Kenji Iba was born in Tokyo, Japan in 1955. He received the B.S and the M.S and Ph.D. degree in electrical engineering from Waseda University in 1978, in 1980 and in 1990, respectively. After he had learned power system engineering from Prof. Tamura, he joined Mitsubishi Electric Corp. in 1980. He also had been trained at Westinghouse in U.S.A. in 1983. His major field is power system planning and analysis. His research on reactive power and voltage control had been highly evaluated. As for him, the superior research was accepted and was promoted to a Fellow of the IEEE in 2003. He has been a professor of Department of Electrical Engineering in Meisei University from 2004. He is dean of Graduate School of Science and Engineering in Meisei University from 2016. Recently he is very active on the field of Smart Grid, Battery Energy Storage System and Renewable Energy from the view point of power system operation and control. He is member or chairperson of various committees of METI, NEDO, IEEJ, etc. He is a board member of the consortium of Power System Technology in Japan.
He will give a talk on “Penetration of Renewable Energy and Potential of Energy Storage System to GHG Emission Reduction”.
Abstract
The big wave oriented to Green Energy has been a worldwide common trend. The renewable energy especially photovoltaic generation has been penetrated in Japan due to the policy of "feed in tariff: FIT". Although RE is widely accepted by the public favorably, the operation of the electric power system becomes more difficult. The severe disaster caused by East Japan Earthquake in March of 2011 keenly warned our brittle power system. Despite this critical alarm, Hokkaido suffered the entire blackout caused by big typhoon in this autumn. The northern part of Japan (Hokkaido) has significant potential of wind power. Many wind farms which were built after the earthquake, however, shut down during the blackout. This fact implies that our power system is not matured enough to manage renewable energy.
One of the most promising solution to control RE is Energy Storage. Four big projects, which are related to battery energy storage system in substations, were carried out supported by government. The response of the storage battery in substations was good, and high system performance was confirmed. The largest rated capacity of battery in a substation is 50MW/300MWh. Although the size of battery seems to be large enough in a substation site, the rated capacity is far small compare with total amount of installed renewable energy source. And besides, there is no incentive to purchase the expensive battery for unbundled power grid company.
Under these circumstances, one better solution will be batteries located in demand sides. There are many additional benefits, if batteries are installed near consumers. Batteries are used for various purposes and they are dedicated to individual owners. If we can share a battery for multi-purposes, the cost will be practically reduced. Aggregators, which are new organization to control demand loads, prefer to utilize batteries for demand response (DR). Their key technology to lead this business is to organize/aggregate massive batteries. The advanced usage of distributed batteries in demand side will be a key issue in the future.
Biographical Information
Daeseok Rho received the B.S. degree and M.S. degree in Electrical Engineering from Korea University, Seoul, South Korea, in 1985 and 1987, respectively. He earned a Ph.D. degree in Electrical Engineering from Hokkaido University, Sapporo, Japan in 1996.
He has been working as a professor at Korea University of Technology(Koreatec) since 1999. His research interests include operation of power distribution systems, dispersed storage and generation systems and power quality.
He was a former convener in IEC TC120 WG4(EES Systems) from 2013 to 2016 and is now working at a regular member of SC6(Distribution system and Distributed Generation) in CIGRE. And also he is in charge of general secretary in a society(Bumon) in KIEE.
He will give a talk on “Evaluation Algorithms for Multiple Function of Dispersed Electrical Energy Storage Systems”.
Abstract
With the increase of electrical consumption and the unbalance of power demand and supply, power reserve rate is getting smaller and also the reliability of the power supply is getting deteriorated. Under this circumstance, the Electrical Energy Storage System(EES) is considered as one of essential countermeasure for demand side management. This paper proposes efficient evaluation algorithms of multiple functions for EES, especially the secondary battery energy storage systems, in the case where they are interconnected with the power distribution systems. It is important to perform the economic evaluation for the new energy storage systems in a synthetical and quantitative manner, because they are very costly right now. In this paper, the multiple functions of EES systems such as load levelling, effective utilization of power distribution systems and uninterruptible power supply are classified, and then the quantitative evaluation methods for their functions are proposed. From the case studies, it is verified that EES systems installed at distribution systems in a dispersed manner have multiple functions and then they can be expected to interconnect with power distribution systems with respects to economical point of view.
Biographical Information
Namsung Ahn received the B.S degree in nuclear engineering at Seoul National University and M.S degree in nuclear engineering at University of Wisconsin at Madison at 1987. He earned Ph. D. from Energy Policy Program in nuclear engineering of MIT in the field of system dynamics modeling in 1998. He is the President of Kepco International Nuclear Graduate School (KINGS). Before he joined KETEP, he served as an associate professor of BFSU-Solbridge International Business School, senior research fellow in KEPCO Management Research Institue, and team leader for Technology Policy Development Team.
He will give a talk on “Digital Disruption and “Moonshot” Challenges in Energy Industry”.
Abstract
Accelerating progress in Digital Technologies such as AI and Big Data is creating opportunities for businesses, the economy, and society. Beyond traditional industrial automation and advanced robots, new generations of more capable autonomous systems are appearing in environments ranging from autonomous vehicles on roads to automated check-outs in grocery stores. Much of this progress has been driven by improvements in systems and components, including mechanics, sensors, and software.
Digital technologies including AI is also being used in areas ranging from material science to medical research and climate science. Application of the technologies in these and other disciplines could help tackle societal “moonshot” challenges such as energy, food, health, e.t.c.
Recently, Peter Diamandis in Singularity University announce 6D framework for the analysis of digital technology life cycle. His framework is very similar to the traditional technology life cycle proposed by Rodgers and Moor except including the dematerialize, demonetize and democratize stage. 6D means digitalize, deceptive, disruptive, dematerialize, demonetize, and democratize.
Energy is one of the most affected area by the digitalization. Ray Kurzweil, the author of “The Singularity is near”, mentioned that “Decarbonization, Decentralization, and Digitalization” are the megatrend of the energy industry. Specially, he emphasize that digitalization will make the most significant impact on energy industry. He forecast that it will change the way to produce, deliver, consume and manage energy.
Many futurists believe that the traditional electricity and transportation industrial structure is being significantly transformed into new shape suitable to digital society. Some call this as “shift of power” in energy industry. The power of OEM in transportation will be shifted into many stakeholder such as electric vehicle manufacture, battery manufactures, charging station business, and customers. In electricity industry, the big electricity power company will be reshaped into many small micro-grid operators(DSO) due to the transforming of electricity system into distributed energy system.
However, the transformation by AI and automation still face challenges. The limitations are partly technical, such as the need for massive training data and difficulties “generalizing” algorithms across use cases. Recent innovations are just starting to address these issues. Other challenges are in the use of AI techniques in energy industry. For example, explaining decisions made by machine learning algorithms is technically challenging, which particularly matters for use cases involving financial lending or legal applications. Potential bias in the training data and algorithms, as well as data privacy, malicious use, and security are all issues that will be addressed. However, all these issues are expected to be solved by the rapid digital technical progress. Recently block-chain technology is one example being frequently mentioned to solve the security issue. But all of these require the solution of regulation issue.