Battery chemistry characteristics and demand response, ESS operation cost optimization scheduling

This technology relates to a charging and discharging scheduling device and method for energy storage devices. It minimizes operating costs and enables stable and planned power grid operation by establishing a charging and discharging scheduling plan in consideration of load pattern data and the internal chemical characteristics of the energy storage device.

Energy storage devices are secondary batteries that can be charged and discharged multiple times, but because their lifespan is limited, efficient charging and discharging scheduling according to the usage environment and purpose is required. It is necessary. However, in terms of the operating cost of supplying power in connection with the power grid, there is a limitation in not considering the internal chemical characteristics of the energy storage device, and the cost-effective management of the energy storage device is not implemented, which can lead to problems that bring a burden of charges to consumers.

This technology considers changes in electricity rates over time, load pattern data, and the internal chemical characteristics of the energy storage device under the condition that the output drawn from the power grid does not exceed the range, and performs charging and discharging scheduling that enables the minimum operating cost. By making it possible to establish a plan, not only can power be supplied cost-effectively in the demand power market, but it can also improve the stability and reliability of the entire power grid by appropriately limiting the amount of power drawn from the power grid and used.

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Key Features:

• Calculate the depreciation cost according to changes in energy state by reflecting the chemical characteristics of the energy storage device (discharge depth, cycle life, etc.)
• To solve the cost minimization problem, apply a dynamic programming algorithm to derive the optimal energy state change path over time
• When receiving a demand response signal, the depreciation cost of the energy storage device is replaced with a distributed power fee and the discharge path is selected first to efficiently respond to the demand power market
• Smart It can be applied to various fields such as grid, distributed power, data center, electric vehicle, etc. to simultaneously increase the economics and stability of the power system.'

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This technology was developed through the support of the National Research Foundation of Korea's research project on ESS operation cost minimization algorithm and hardware-linked charging and discharging test bed construction.

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30m large rainbow generator

This technology is about a large-scale rainbow generating device that can generate large, natural rainbows while minimizing components.

Generally, a rainbow is created when the observer turns his back to the sun and looks at a large group of water droplets, and the light refracted by the water droplets forms on the retina. If you spray water droplets by installing multiple water droplet spraying devices in a large area, you can create a group of water droplets with a large length and width. However, installing a water droplet spraying system including multiple water droplet spraying devices is very cumbersome and difficult to maintain, making it difficult to use in amusement parks or events.

This technology can create a natural large rainbow, such as by spraying water droplets with the spray guns arranged symmetrically left and right, giving the feeling of seeing a natural large rainbow in an empty field with just two guns.

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Key Features:

• A unique structure that deploys two spray guns symmetrically to spray water droplets toward the upper center
• Each spray gun consists of a cylindrical housing, a high-performance blower mounted inside, multiple annular pipes arranged concentrically around the outlet end, and multiple nozzles installed in each pipe
• An anti-vortex member is installed inside the housing to prevent air vortices to maximize spray efficiency. In addition, the valve that controls the opening and closing of each annular pipe keeps the discharge water pressure constant, ensuring stable performance.

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This technology was developed with the support of the Korea Creative Content Agency's research project on artificial rainbow implementation technology by size/color.

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AI policy model optimization for large-scale conversation systems

This technology is about the optimization method of the dialogue policy model and the dialogue system that implements it.

The dialogue policy model of the existing dialogue system had limitations in flexibility and scalability due to being rule-based. In particular, application of reinforcement learning in large conversation state spaces has been difficult. To solve this problem, this technology expresses the conversation state, including the trust score of the user's speech intention, as a continuous vector.

The conversation policy model is reinforced and learned through the Experience Replay technique that utilizes the data received at each time step. This allows us to implement a next-generation conversation system capable of natural conversations by efficiently reusing experience data and significantly improving data efficiency by reducing inter-sample correlation.

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Key Features:

• Dialogue state determination unit: Receives speech act information from the user's utterance, determines the dialogue state including the goal, method, request, etc. of the dialogue and converts it into a continuous vector
• Dialogue management unit: Inputs the generated dialogue state vector into the 'dialogue policy model' to determine the optimal dialogue action to be performed in the current state
• Dialogue policy model learning unit: Dialogue using experience data (state, action, reward, next state) accumulated as the conversation progresses By reinforcing and learning the policy model, correlations between learning data are reduced through the 'Experience Replay' technique, which reuses experience data collected according to the order in which the model is continuously optimized
• Efficient learning is possible even with a small amount of data.

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Energy storage lifetime cost optimization charge/discharge scheduling

This technology relates to a charging and discharging scheduling device and method by controlling the discharge depth of an energy storage device. It relates to a charging and discharging scheduling device and method of an energy storage device according to an optimized discharge depth value derived by considering the operating cost of the power grid and the usage cost of the energy storage device in the operation of the energy storage device.

Energy storage devices are important as a core component in the next-generation power supply chain such as distributed power sources and smart grid environments, but can be charged and discharged multiple times. Discharging is possible, but because its lifespan is limited, efficient scheduling is required according to the usage environment and purpose.

This technology can minimize the total power supply cost through charging and discharging of the energy storage device that reflects the operating cost of the power grid and the usage cost of the energy storage device itself to supply power, and can promote efficient repeated use relative to the lifespan of the energy storage device by using the optimized discharge depth value.

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Key Features:

• Calculate the power grid operation cost at a specific depth of discharge (DoD) based on demand response (DR) signals and real-time power rate information
• Calculate the depreciation cost due to ESS use based on the replacement cost of the ESS and the lifespan that varies depending on the depth of discharge
• Create a specific ESS charging and discharging path (schedule) that minimizes the total cost based on the analyzed optimal point
• In connection with solar and wind power plants with high output volatility Contributes to grid stability by efficiently storing and supplying generated power'

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This technology was developed through a high-speed demand response-based energy IT convergence platform research and development project to overcome the power crisis through support from the National IT Industry Promotion Agency.

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Sequencing technology for optical identification of single DNA

This technology relates to a composition for DNA sequence analysis and a DNA sequence analysis method, and to a DNA sequence analysis method including a composition containing a DNA-binding fluorescent protein and steps for processing the same.

Existing DNA sequence analysis technology had limitations in DNA damage and information loss. To solve these problems, this technology provides a fluorescent protein composition and method to precisely analyze DNA sequences at the level of a single DNA molecule.

By using A/T-specific DNA binding protein and non-specific complementary DNA binding protein simultaneously, efficient optical identification of single DNA molecules is possible without a separate sequencing procedure. This technology is useful for studying chromosomal organization and protein immunoorganization of the genome, and can improve the accuracy and efficiency of genetic analysis.

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Key Features:

• Principle of simultaneously using two types of DNA-binding proteins bound to fluorescent proteins of different colors
• A/T-specific DNA-binding protein preferentially binds to A/T-rich regions of DNA
• A/T non-specific complementary DNA-binding protein binds to the remaining DNA backbone and stains the entire DNA
• A sequence-specific two-color fluorescent pattern, or 'barcode', is generated on the DNA molecule, enabling optical identification without separate sequencing. possible

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This technology was developed through support from the National Research Foundation of Korea's research project on microfluidic devices for observing the structure of dyed yarns for detecting DNA damage.

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HIFU treatment device capable of confirming the focal position of ultrasound signals

This technology relates to an ultrasound treatment device and method, and relates to a HIFU treatment device and method that can confirm the focal position of an ultrasound signal (HIFU)

HIFU treatment can reduce trauma to the patient and realize non-invasive treatment. As a technical challenge, a method is needed to confirm the focal position of a high-intensity focused ultrasound signal (HIFU) without damaging important blood vessels and organs.

This technology solves this problem by transmitting a HIFU signal to the treatment area and then receiving the signal reflected from the treatment area again, so that the focal position of the HIFU signal transmitted to the treatment area can be confirmed through imaging, so the treatment can be performed through the HIFU signal without damaging important blood vessels and organs, and the stability and accuracy of the HIFU treatment can be improved

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Key Features:

• Uses the principle of receiving reflected and returned ultrasound to form a B-mode (Brightness mode) focused image
• Allows the operator to accurately check the focal position of HIFU energy in real time
• Precise procedures are possible while avoiding important blood vessels and surrounding organs, greatly reducing the risk of side effects
• Used to increase the precision of treatment for various solid cancers such as liver cancer, bone sarcoma, breast cancer, pancreatic cancer, and kidney cancer

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Scheduling method of energy storage device

This technology relates to a scheduling method and device for charging and discharging energy storage devices that minimizes unnecessary waste of charging and discharging power caused by prediction errors by estimating and allocating correction power (margin power) based on prediction errors.

The battery operation to reduce maximum load power that is currently used is to discharge the battery at a constant power during the time when the maximum load is predicted to occur, such as this. It is difficult to say that the operation is optimal because it does not take into account losses due to unnecessary charging/discharging power, battery depreciation, and electricity usage charges. This technology provides technical means for scheduling energy storage devices that minimize unnecessary waste of charging and discharging power caused by prediction errors.

This technology estimates correction power based on prediction error, corrects it to output close to optimal operation by allocating it to scheduled charging and discharging power in real time, and applies price weighting in a dynamic programming algorithm to reduce maximum load power without setting a separate limit.

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Key Features:

• The charge/discharge scheduling system derives the depreciation density function according to the characteristics of the energy storage device and sets constraints for optimization
• Generates the charge/discharge schedule of the energy storage device from the depreciation density function based on the power grid cost information
• Compares the predicted demand data with the measured actual demand data to estimate the corrected power and corrects the charge/discharge schedule
• Dynamic programming algorithm to minimize the operating cost of the power grid use

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This technology was developed through the support of the Korea Institute of Energy Technology Evaluation and Planning's micro research project utilizing distributed resources based on community energy supply (CES) facilities.

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Ultra-small medical ultrasound delay time interpolation accuracy 5-fold improvement technology

This technology is related to a delay time interpolation method in an ultrasound beamformer. It can calculate the delay time with one delay time calculator for all channels, improving the accuracy of delay time interpolation in cases with the same hardware complexity.

Existing ultrasound medical equipment systems have difficulty calculating delay time due to the complex hardware structure, so there is a problem of sacrificing accuracy for miniaturization.

This technology enables more precise and efficient imaging in the field of ultrasound diagnosis and treatment.

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Key Features:

• Accuracy improvement: Significantly improves the quality of ultrasound images by reducing the cumulative error amount of delay time calculation by up to 5 times compared to the existing linear interpolation method.
• Hardware efficiency: The hardware resources of the delay time calculation unit increase by about two times, but the proportion of the entire beam focuser system increases slightly from 1% to 2%, thereby achieving high performance cost-effectively.
• Miniaturization and low power consumption of the system by using one delay time calculator for all channels. contribution

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Highly efficient methanol production based on methane autogenizers using EDTA

This technology is about a method of producing methanol using methane using methane-generating bacteria that does not require external reducing power.

It is about a method of increasing the production of methanol by maintaining the catalyst amount and reducing power constant using methane-generating bacteria under conditions containing a certain amount of EDTA. Production efficiency was low. This technology presents a method for producing methanol using methane-producing bacteria that does not require external reducing power.

It is possible to dramatically increase methanol production by maintaining the catalyst amount and reducing power optimally by using Methylomonas DH-1 strain and ethylenediaminetetraacetic acid (EDTA) at a specific concentration, making it possible to produce highly efficient methanol in an environmentally friendly manner by utilizing methane without an expensive external reducing power.

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Key Features:

• The core principle is to use ethylenediaminetetraacetic acid (EDTA), a metal chelator, to partially inhibit the activity of methanol dehydrogenase (MDH) instead of completely blocking it.
• By appropriately controlling MDH activity, some of the methanol produced is oxidized again to supply the reducing power necessary for methane conversion, and the rest is accumulated as the final product.
• Methanol from methane without supply of an external reducing agent. Can be produced stably and efficiently
• Continuous and stable methanol production process operation is possible by maintaining the intracellular reducing power constant

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This technology was developed through support from the National Research Foundation of Korea's C1 gas refinery research project.

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Walking assistance robot combining wheelchair and exoskeleton to increase mobility

This technology relates to a wheelchair-type walking assistance robot that combines an exoskeleton worn on the user's lower body with a wheelchair-type lift for the purpose of strengthening the muscle strength of the general public, walking rehabilitation of patients, or assisting the mobility of the elderly.

It is a wheelchair-type walking assistance robot with greatly enhanced convenience.

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Key Features:

• A wheelchair-type walking assistance robot that can assist the user with 100% of the force required for sitting or standing.
• Running part: Responsible for an independent driving function like a wheelchair through the driving motor and wheels installed on the main frame
• Lift: Moves the chair up and down using linear guides and actuators, stably assisting the user in sitting or standing.
• Exoskeleton: Worn directly on the user's lower body to support the hip joint and Induces and supports movement of the knee joint and assists in gait rehabilitation

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