• 한국전자통신학회논문지
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• 제10권2호
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• pp.247-252
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• 2015

전력계통이 연계되지 않는 국내 유인도서의 대부분의 전력은 디젤발전기를 통해 공급하고 있으나 도서지역의 경우 유류비가 내륙지역에 비해 비싸고 이를 운송하는 것이 어렵다. 이러한 이유로 최근 자연자원을 활용하여 신재생에너지원을 도입을 하고 있지만 자연환경에 의존하는 신재생에너지원은 안정적인 전력공급이 어렵기 때문에 기존 디젤발전과 신재생에너지가 포함된 하이브리드시스템을 통해 전력을 공급하는 것이 필요하다. 본 논문은 풍력, 태양광, 배터리 및 디젤엔진 등 에너지저장장치를 포함한 하이브리드시스템의 타당성 연구결과를 설명한다. 이 연구 대상은 전력계통에 연계되지 않은 전라남도 서거차도이며, 최소비용을 투자하여 탄소배출을 최소화하는 최적 용량의 하이브리드시스템 구성을 제안한다. 이 시스템에 대한 경제정인 적합성은 HOMER 프로그램을 사용하여 분석하였다.

• Advances in Energy Research
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• 제5권2호
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• pp.107-128
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• 2017

Energy is a major component of almost all economic, production, and service activities, and rapid population growth, urbanization and industrialization have led to ever growing demand for energy. Limited energy resources and increasingly evident environmental effects of fossil fuel consumption has led to a growing awareness about the importance of further use of renewable energy sources in the countries energy portfolio. Renewable hydrogen production is a convenient method for storage of unstable renewable energy sources such as wind and solar energy for use in other place or time. In this study, suitability of 25 cities located in Iran's western region for renewable hydrogen production are evaluated by multi-criteria decision making techniques including TOPSIS, VIKOR, ELECTRE, SAW, Fuzzy TOPSIS, and also hybrid ranking techniques. The choice of suitable location for the centralized renewable hydrogen production is associated with various technical, economic, social, geographic, and political criteria. This paper describes the criteria affecting the hydrogen production potential in the study region. Determined criteria are weighted with Shannon entropy method, and Angstrom model and wind power model are used to estimate respectively the solar and wind energy production potential in each city and each month. Assuming the use of proton exchange membrane electrolyzer for hydrogen production, the renewable hydrogen production potential of each city is then estimated based on the obtained wind and solar energy generation potentials. The rankings obtained with MCDMs show that Kermanshah is the best option for renewable hydrogen production, and evaluation of renewable hydrogen production capacities show that Gilangharb has the highest capacity among the studied cities.

• 조명전기설비학회논문지
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• 제25권9호
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• pp.26-32
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• 2011

The object of this paper is to optimize the battery system for supplying stably power in separate house in which a PV-wind hybrid power generation system is applied. In a power system to be used in a stand alone, it is very important to build optimize the electrical storage system and to utilize it for supplying stably output voltage when there is a shortage of the power generation capacity or there is no sunshine, or when power is to be supplied with a load. This paper provides an optimized method to evaluate capacity of battery by analyzing advantages and disadvantages of the existing battery evaluating method being used in each company for supplying stably power in separate house utilizing the new renewable energy such as a light of the sun.

• 전기학회논문지P
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• 제67권3호
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• pp.143-148
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• 2018

In this paper, the optimal fuzzy logic controller(FLC) for a hybrid renewable energy system(HRES) is proposed. Generally, hybrid renewable energy systems can consist of wind power, solar power, fuel cells and storage devices. The proposed FLC can effectively control the entire HRES by determining the output power of the fuel cell or the absorption power of the electrolyzer. In general, fuzzy logic controllers can be optimized by classical optimization algorithms such as genetic algorithms(GA) or particle swarm optimization(PSO). However, these FLC have a disadvantage in that their performance varies greatly depending on the control parameters of the optimization algorithms. Therefore, we propose a method to optimize the fuzzy logic controller using the teaching-learning based optimization(TLBO) algorithm which does not have the control parameters of the algorithm. The TLBO algorithm is an optimization algorithm that mimics the knowledge transfer mechanism in a class. To verify the performance of the proposed algorithm, we modeled the hybrid system using Matlab Tool and compare and analyze the performance with other classical optimization algorithms. The simulation results show that the proposed method shows better performance than the other methods.

• 한국태양에너지학회 논문집
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• 제39권1호
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• pp.51-58
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• 2019

This paper deals with the operation of a hybrid power generation system made with photovoltaic cells and piezoelectric materials. The system can produce power from the wind as well as from the sun subject to their availability. Irrespective of the largeness of their power production, the power developed by both generators (i.e., phtovoltaic cells and piezoelectric cells) were combined and stored before it was applied to a load. Especially, the AC power (current) developed from each piezoelectric generator was converted by a full wave bridge rectifier and then combined prior to its storage in a capacitor. It was observed that the system can produce a maximum output power of 6.49 mW at loading resistance of $100{\Omega}$.

• 한국항행학회논문지
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• 제20권4호
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• pp.265-274
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• 2016

본 논문에서는 태양광과 풍력을 조합한 하이브리드 발전시스템을 이용하여 승압 쵸퍼와 PWM (pulse width modulation) 전압형 인버터인 전력변환기로 구성하였고, 또한 PWM 전압형 인버터는 태양전지가 연속 발전할 수 없는 단점을 보완하기 위해 일반 상용전원과 연계하고 에너지저장장치 (ESS; energy storage system)를 상시 운영하여 공항의 기상 변화에 따른 파장별 LED 항공 유도등을 효율적으로 운용하는 시스템을 구성 하였다. 태양전지에 대한 특성 해석과 수학적 모델링을 통한 시뮬레이션을 행하여 태양전지 특성 사양과 비교하였고, PWM 전압형 인버터와 위상동기를 위해서 계통전압을 검출하여 계통전압과 인버터 출력을 동상 운전하므로 잉여전력을 계통과 연계할 수 있게 하였으며 공항의 활주로, 항공 유도등에 적용하여 양호한 동특성을 얻을 수 있는 제어회로를 동시에 개발하여 항공유도등의 다양성을 추구할 수 있음을 확인 하였다.

• 한국산학기술학회논문지
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• 제16권5호
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• pp.3391-3398
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• 2015

현재 대부분의 도서지역에서는 태양광발전을 효율적으로 운용하기 위하여 대용량 연축전지가 많이 사용되고 있지만, 풍력발전의 도입, 축전지 교체로 인하여 리튬이온전지의 도입이 증가하고 있다. 따라서 본 논문에서는 기존에 많이 보급되어 사용되고 있는 연축전지와 리튬이온전지의 장점을 최대한 활용하기 위하여, 연축전지와 리튬이온전지용 하이브리드 BMS 알고리즘을 제시하였다. 즉, 각 전지의 충전상태(state of charge, SOC)를 평가하는 알고리즘과 각 전지의 도입비용과 운용비용에 따른 최적 구성비를 산출하는 하이브리드 운용 알고리즘을 제안하였다. 상기의 알고리즘을 이용하여 다양한 시뮬레이션을 수행한 결과, 기존의 충전상태 평가 방법보다 오차율이 개선되어 정확한 충전상태에 대한 결과가 산출되었고, 각 전지의 도입비용과 운용비용이 최소화되는 조건에서 최적구성비를 구하여, 본 논문에서 제안한 하이브리드 BMS 알고리즘의 유용성을 확인하였다.

• Journal of Advanced Marine Engineering and Technology
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• 제37권8호
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• pp.977-983
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• 2013

본 연구는 섬 주거시설의 전력부하 변동특성에 적합한 태양광발전설비와 풍력발전설비로 구성된 하이브리드 발전시스템의 발전특성을 예측하고 성능을 평가하는 것을 목적으로, 경상남도 통영시에 소재하는 곤리도를 대상으로 수행한 사례연구 결과이다. 연구 결과, 시각별 전력부하 변동률, 시각별 풍력 발생 변동률, 시각별 일사량 변동률 등이 서로 다르기 때문에, 단순히 전력부하측과 풍력 혹은 태양광발전설비를 1:1로 조합한다면 상호간에 불균형이 발생하여 비효율적임을 알 수 있었다. 또한 부하용량선정방법인 최대부하법과 일일부하법으로 하이브리드 발전시스템의 각 용량을 설정할 경우의 성능을 비교한 결과 두 방법 모두 축전지를 포함한 풍력발전설비만 설치했을 때가 가장 효과적인 것으로 나타났는데 이는 풍력은 태양광과 달리 24시간 지속적으로 발생하기 때문이다.

• Advances in Energy Research
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• 제7권1호
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• pp.67-84
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• 2020

Given the recent surge of interest towards utilization of renewable distributed energy resources (DER), in particular in remote areas, this paper aims at designing an optimal hybrid system in order to supply loads of a village located in Esfarayen, North Khorasan, Iran. This paper illustrates the optimal design procedure of a standalone hybrid system which consists of Wind Turbine Generator (WTG), Photo Voltaic (PV), Diesel-generator, and Battery denoting as the Energy Storage System (ESS). The WTGs and PVs are considered as the main producers since the site's ambient conditions are suitable for such producers. Moreover, batteries are employed to smooth out the variable outputs of these renewable resources. To this end, whenever the available power generation is higher than the demanded amount, the excess energy will be stored in ESS to be injected into the system in the time of insufficient power generation. Since the standalone system is assumed to have no connection to the upstream network, it must be able to supply the loads without any load curtailment. In this regard, a Diesel-Generator can also be integrated to achieve zero loss of load. The optimal hybrid system design problem is a discrete optimization problem that is solved, here, by means of a recently-introduced meta-heuristic optimization algorithm known as Lightning Attachment Procedure Optimization (LAPO). The results are compared to those of some other methods and discussed in detail. The results also show that the total cost of the designed stand-alone system in 25 years is around 92M€ which is much less than the grid-connected system with the total cost of 205M€. In summary, the obtained simulation results demonstrate the effectiveness of the utilized optimization algorithm in finding the best results, and the designed hybrid system in serving the remote loads.

• 전기학회논문지
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• 제67권1호
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• pp.22-28
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• 2018

In case of developing a combined system by a number of distributed resources with storage device, a number of application suggests a huge capacity can derive operational flexibility both power supply issues or when unexpected situation imposed. However, it is important to determine a resonable energy capacity because the device have many controversial cost issues in current power system industry. An ESS application which focusing essentially required points can induce appropriate storage capacity that required in economic operation. In this paper, a curtailment supporting algorithm based on storage device is introduced, and applied in the capacity calculation method. The main algorithm pursues handling minor exceeding quantities which can cause mechanical load at blade; This paper tries to include it for configuring hybrid algorithm with pitch control. Several fluctuating conditions are utilized in simulation to reflect critical situation. The analyzing process focuses on the control feasibility with applied capacity and control method.