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풍력발전의 변동성을 고려한 기동정지계획에서의 적정 Ramping 용량 산정
류재근(Jae-Kun Lyu),허재행(Jae-Haeng Heo),박종근(Jong-Keun Park) 대한전기학회 2013 전기학회논문지 Vol.62 No.4
Wind energy is rapidly becoming significant generating technologies in electricity markets. As probabilistic nature of wind energy creates many uncertainties in the short-term scheduling, additional actions for reliable market operation should be taken. This paper presents a novel approach to evaluate ramping capability requirement for changes in imbalance energy between day-ahead market and real-time market due to uncertainty of wind generation as well as system load. Dynamic ramp rate model has been applied for realistic solution in unit commitment problem, which is implemented in day-ahead market. Probabilistic optimal power flow has been used to verify ramping capability determined by the proposed method is reasonable in economic and reliable aspects. This approach was tested on six-bus system and IEEE 118-bus system with a wind farm. The results show that the proposed approach provides ramping capability information to meet both forecasted variability and desired confidence level of anticipated uncertainty.
분산전원을 포함한 배전계통에서 설치비용과 유지보수 비용을 고려한 병렬 캐패시터-리액터 Bank의 최적 설치 위치 선정
허재행(Jae-Haeng Heo),류재근(Jae-Kun Lyu),이우리(Woo-Ri Lee),박종영(Jong-Young Park),박종근(Jong-Keun Park) 대한전기학회 2013 전기학회논문지 Vol.62 No.11
This paper proposes the allocation method for capacitor-reactor banks in a distribution system with dispersed generators to reduce the installation costs, the maintenance costs and minimize the loss of electrical energy. The expected lifetime and maintenance period of devices with moving parts depends on the total number of operations, which affects the replacement and maintenance period for aging equipment under a limited budget. In this paper, the expected device lifetimes and the maintenance period are included in the formulation, and the optimal operation status of the devices is determined using a genetic algorithm. The optimal numbers and locations for capacitor-reactor banks are determined based on the optimal operation status. Simulation results in a 69-bus distribution system with the dispersed generator show that the proposed technique performs better than conventional methods.
수요와 공급의 불확실성을 고려한 시간대별 순동예비력 산정 방안
권경빈(Kyung-Bin Kwon),박현곤(Hyeon-Gon Park),류재근(Jae-Kun Lyu),김유창(Yu-Chang Kim),박종근(Jong-Keun Park) 대한전기학회 2013 전기학회논문지 Vol.62 No.11
Renewable energy integration and increased system complexities make system operator maintain supply and demand balance harder than before. To keep the grid frequency in a stable range, an appropriate spinning reserve margin should be procured with consideration of ever-changing system situation, such as demand, wind power output and generator failure. This paper propose a novel concept of dynamic reserve, which arrange different spinning reserve margin depending on time. To investigate the effectiveness of the proposed dynamic reserve, we developed a new short-term reliability criterion that estimates the probability of a spinning reserve shortage events, thus indicating grid frequency stability. Uncertainties of demand forecast error, wind generation forecast error and generator failure have been modeled in probabilistic terms, and the proposed spinning reserve has been applied to generation scheduling. This approach has been tested on the modified IEEE 118-bus system with a wind farm. The results show that the required spinning reserve margin changes depending on the system situation of demand, wind generation and generator failure. Moreover the proposed approach could be utilized even in case of system configuration change, such as wind generation extension.
천이경(Yi-Kyung Chyun),김문겸(Mun-Kyeom Kim),류재근(Jae-Kun Lyu),노준우(Jun-Woo Noh),심재성(Jae-Seong Shim),박종근(Jong-Keun Park) 대한전기학회 2009 대한전기학회 학술대회 논문집 Vol.2009 No.7
본 논문에서는 Particle Swarm Optimization(PSO) 알고리즘을 이용한 최적조류계산(Optimal Power Flow: OPF)을 가용송전용량 (Available Transfer Capability: ATC) 계산에 적용하였다. 제안한 방법의 우수성을 입증하기 위하여 IEEE 30모선 계통에 적용해 보고, 그 결과로부터 가용송전용량 계산에 PSO 알고리즘의 적용가능성을 증명하였다.
천이경(Yi-Kyung Chyun),김문겸(Mun-Kyeom Kim),류재근(Jae-Kun Lyu),박종근(Jong-Keun Park) 대한전기학회 2010 전기학회논문지 Vol.59 No.6
Under the Kyoto Protocol many countries have been requested to participate in emissions trading with the assigned CO₂ emissions. In this environment, it is inevitable to change the system and market operation in deregulated power systems, and then ensuring safety margin is becoming more important for balancing system security, economy and CO₂ emissions. Nowadays, available transfer capability (ATC) is a key index of the remaining capability of a transmission system for future transactions. This paper presents a novel approach to the ATC evaluation with CO₂ emissions using multi-objective particle swarm optimization (MOPSO) technique. This technique evolves a multi-objective version of PSO by proposing redefinition of global best and local best individuals in multi-objective optimization domain. The optimal power flow (OPF) method using MOPSO is suggested to solve multi-objective functions including fuel cost and CO₂ emissions simultaneously. To show its efficiency and effectiveness, the results of the proposed method is comprehensively realized by a comparison with the ATC which is not including CO₂ emissions for the IEEE 30-bus system, and is found to be quite promising.