The rapid expansion of renewable energy requires an efficient expansion of electricity demand. Therefore, the electrification of the drying process which has the remaining electrification capacity in many industries is proposed. In this research, a drying oven thermography was developed to eliminate the concern about the disruption of technology transfer and deterioration of coating quality, which are the barriers to electrification of drying ovens. The thermography made it possible to pass on the technology and design efficient electrification specifications by creating a drying furnace digital chart.

This paper proposes a distributed control framework for managing the charging/discharging actions of energy storage systems (ESS), which are used with a huge number for Peer-to-Peer energy trading in wide area distributed grid. The framework consists of a consensus building algorithm and a power limited algorithm for the cooperation of the distributed grid operator and ESSs. In particular, the consensus building algorithm can tolerate the non-uniform, asymmetrical, and time-varying communication delays. The effectiveness of the proposed system was evaluated by numerical tests, which are based on the actual setting of a real peer-to-peer power trading system developed at Toyota Frontier Research Center^(1)～(6). The test results show that, even with a maximum delay steps of 12, the demand-supply balance of the distributed grid can be successfully assured in the tolerance range ±α=0.08. Thanks to the distributed structure, the proposed control framework can be conveniently applied to large-scale power networks.

After the deregulation in the power system, the electricity market gets important for the generator. There are studies which assume that the bidding price is same as the generator's marginal operation cost in the kWh market. However, the market price can be different from the marginal cost price because of the tenderer's bidding strategy to increase his profit. In the previous study, the difference is analyzed by comparing the market trading results calculated on the simple electricity market model in the several bidding assumptions. In this paper, the simple electricity market model is modified to the model considering 2 markets, and the market trading result considering not only the kWh market but also the ΔkW market is discussed by comparing the calculation results in 2 cases (Nash equilibrium case and total benefit maximization case).

Arcs are used in a wide range of fields such as welding, circuit breakers, and waste treatment. It is required to clarify the dynamic behavior of the arc and the physical phenomena of the cathode spot and the anode spot in order to improve the performance of products related to the arc phenomenon. Thus, the physical phenomenon of arc has been elucidated from both experiments and numerical analysis. However, few reports have considered the asymmetry and non-equilibrium. In this paper, the arc electron and heavy particle temperature distribution were analyzed with the lateral flow velocity for elucidation of re-strike. As a result, the heavy particle temperature increased in the cold boundary layer under consideration of thermal non-equilibrium. Therefore, it was suggested that the factor of re-strike is the increase in heavy particle temperature.

This letter deals with estimation of COI (center of inertia) frequency from globally measured frequencies. Total inertia of a power system can be estimated based on the equation of motion of COI frequency. COI frequency is expressed by the weighted average of angular speeds of generators in general. We approximate COI frequency by a weighted average of locational frequencies. Determination of weights is guided by the monotonous nature of COI frequency.

This letter proposes a method to identify the time of event in the context of event-based inertia estimation of a power system. We formulate the square error between time series of frequency and a polynomial-based model tailored for this purpose. The model consists of constant-valued and polynomial parts, which are connected at the time of event. Based on the square error formulated, we solve a minimization problem numerically to find the best-fitting time of event.

The mission of the Research and Development (R&D) Steering Committee of the Power and Energy Society (PES) of the Institute of Electrical Engineers of Japan (IEEJ) is to facilitate the research and development in the electric power energy technology. In this article, activities of the R&D Steering Committee in fiscal year 2021 are reported. Also, recent trend and future issues are discussed. Furthermore, efforts and actions to invigorate technical activities of the IEEJ PES and to improve service for members are described.