**Finished Project**

*8*

1. Development of community energy service market and management platform

지원 : 한국산업기술진흥원

기간 : 2018. 10. 01 ~ 2020. 09. 30 ( 2 years )

참여기관 : Power21, 아주대학교

- Development operation algorithm of EMS

The operation algorithm of EMS is divided into Load Agg, REG Agg and ESS Agg by type of target resources. Because the overall objective of EMS operation is participation into energy market, basic objective function of each EMS is enhancement of profit for both EMS operator and resource owner.

- Development interoperability technology of each EMS

Develop interoperability technology between each EMS to operate more efficient EMS and maximize profit. Interoperable technology can increase economic value when participating in trading platform. For this, analyze the available operation scheme for each configuration such as Load – ESS or REG – ESS. Judgment on whether each configuration is possible follows the economic value and the rules of the current electricity market. Finally, we derive the interconnection plan and calculate expected profit according to each combination.

1. Development of the standard interface of the protection system based on DEW and various study of distribution system operation technology

지원 : 한국전력공사 전력연구원

기간 : 2017. 10 ~ 2020. 07 (34 month)

참여기관 : 아주대학교, 홍익대학교, 인하대학교, 성균관대학교

Due to the renewable energy integrated into distribution system, it is necessary to improve current distribution system operation technology. Distributed Engineering Workstation (DEW) software is used to develop the standard interface of the protection system. Furthermore, the project includes Various study of distribution system operation technology as below:

- Development of the standard interface of the KEPCO protection coordination program based on DEW including HMI connection and performance analysis
- Study on the effective grounding(IEEE 142) of distribution system by integrating large amount of DER generation
- Study on Transient Over-Voltage (TOV) issues in distribution system by integrating large amount of DER generation when ground fault occurs on the line
- Study on the Reliability Index by integrating DER generation into distribution system
- Development of the fault calculation in distribution system by considering DER generation as voltage source and current source and comparison of their differences
- Study on advanced distribution system analysis technology

1. Grid Resilience 극한 기후변화로 인한 전력망 복구성(Grid Resilience) 향상을 위한 연구

지원 : 한국전력공사 전력연구원

기간 : 2017. 05 ~ 2020. 04 (3 years)

참여기관 : 아주대학교

The presence of High Impact Low Probability (HILP) disaster is a serious threat to the power system. The ability of the system to recover into its original condition is vital to the power system. The Grid Resilience Improvement Algorithm (GRIA) developed will try to make the system returns as close as possible to its original condition before the HILP event strikes the system. The algorithm will consider some these actions:

- Develop power system damage forecasting
- Develop power system hardening
- Develop the optimal location of DER and loop line to reduce the restoration time
- Develop the power system reconfiguration algorithm

The result of this will be used to improve the system ability to withstand the same type of HILP event

1. Optimal microgrid design

The Distributed Energy Resources Customer Adoption Model (DER-CAM) is used to determine the optimal size and type of distributed energy resources (DERs) and their operating schedules for a sample utility distribution system. Using the DER-CAM results, an evaluation is performed to evaluate the electrical performance of the distribution circuit if the DERs selected by the DER-CAM optimization analyses are incorporated. Results of analyses regarding the economic benefits of utilizing the optimal locations identified for the selected DER within the system are also presented

1. Development and demonstration of an optimal integration and management technology for ESS to enhance grid stability considering renewable fraction and grid characteristics [신재생 비율 및 그리드 특성에 따른 그리드 안정화 기술용 ESS 최적 연계 기술개발 및 실증]

지원: 한국에너지기술평가원

기간: 2017.5 ~ 2020.4 (3 years)

참여기관: 한국전자통신연구원, Power21, 대은, 한국에너지공단, 아주대학교

The fluctuation of renewable energy generation is one of the problem to maintain the grid stable and reliable. Combining REG with ESS is able to mitigate this intermittency. It is necessary to determine the optimal location and size of ESS before installing. In this project, we are going to develop the Reliability and Flexibility index to represent the status of the grid. The developed tool will determine the location and size of ESS by using these indices. Furthermore, the optimal ESS operation will be also developed to improve the reliability and flexibility index. Our team will develop the following algorithm in this project

- Develop the Reliability/Flexibility index
- Develop the PV generation and load forecasting
- Develop the optimal ESS scheduling algorithm
- Revise current energy policy to utilize the ESS for grid stability

1. Development of ESS Scheduling Algorithm and verification

지원 : 한전KDN 주식회사

기간 : 2018. 04 ~ 2019. 01 (10 month)

참여기관 : 아주대학교

Nowadays, ESS is used to solve instability of power system operation because ESS has fast response characteristics to dynamic variation of power system and it is easy to install depending on capacity. Before operating ESS, ESS operating algorithm is required for efficient utilization of ESS. Therefore, in this project, we will develop algorithms for arbitrage, peak shaving, frequency regulation, and capacity firming among various ESS operation algorithms. To improve the performance of the developed algorithms, we will develop SMP forecasting, PV generation forecasting, and economic analysis algorithms. In addition, the algorithms are verified based on power system model using Matlab Simulink.

Develop the ESS control algorithm [Arbitrage, Peak-shaving, G/F, Capacitor firming]

Develop the advanced ESS control algorithm [SMP forecasting, PV generation forecasting, Economic analysis]

Verification of ESS control algorithm [Construct the simulation system and Develop the control logic in MATLAB Simulink ]

1. Development Disaster Damage Prediction and Response Algorithm

지원 : 한국전력공사 전력연구원

기간 : 2017. 06 ~ 2018. 03 (10 month)

참여기관 : Power21, 아주대학교, 이지스

Damage to electric power systems caused by natural disasters is increasing. In the event of a disaster, construct a quick response system by using the prediction of correlation between the disaster data and the power plant failure data. And it is aimed to supply reliable and steady power by minimizing the power outage interval of the consumer. We develop a prediction model and algorithm for disaster damage forecasting in case of a disaster.

- Analysis of correlation between disaster observation data and power facilities and selection of input data
- Development disaster damage prediction model and algorithm
- Development of disaster response scenario
- Development of recovery analytical technology for analyze damage by stage and type of disaster

1. ESS Aggregator System

지원: 한국에너지기술평가원

기간: 2016.07 ~ 2019.06 (3 year)

참여기관: Power21, 아주대학교, 전자부품연구원, 한국에너지공단

**- Develop the Aggregator EMS algorithm**

The algorithm will calculate the input data by load forecasting, renewable generation forecasting, Energy Storage System (ESS) status estimation. Then, it determine the optimal ESS operating schedule and also define the availabe ESS energy to participate in the energy trade market. The algorithm will be the coordinated control if ESS is installed with renewable energy generation. It also needs to consider the severe weather event to prepare the power system failure.

**- Develop the DMS algorithm to cummunicate with Aggregator**

The ESS needs to verify their participation in the energy trade market if they don't affect the power system operation negatively. For this purpose, the Distribution Management System (DMS) needs to communicate with Aggregator EMS. Furthermore, DMS is also able to ask aggregator EMS to supply the ESS power for power system operation.

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