Economic Analysis of Efficient Operation Algorithm of Stand-Alone Microgrid
Seo-Hyun Yeo1, Thi-Tuan-Vi Le2, Jin-Wook Park3, Seong-Mi Park4, Sung-Jun Park5
1Seo-Hyun Yeo, Department of Electrical Engineering, Chonnam National University, Gwangju, Korea.
2Thi-Tuan-Vi Le, Department of Electrical Engineering, Chonnam National University, Gwangju, Korea.
3Jin-Wook Park, Department of Electrical Engineering, Chonnam National University, Gwangju, Korea.
4Seong-Mi Park, Department of Lift Design, Korea Lift College, Geochang, Korea.
5Sung-Jun Park, Department of Electrical Engineering, Chonnam National University, Gwangju, Korea.
Manuscript received on 01 January 2019 | Revised Manuscript received on 06 January 2019 | Manuscript Published on 07 April 2019 | PP: 386-392 | Volume-8 Issue- 3C January 2019 | Retrieval Number: C10830183C19/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recently, the introduction of microgrid(MG) is being extended to the islands and pilot areas. In previous researches, we designed an efficient operation algorithm for stand-alone MG. The purpose of this paper is to verify the economical feasibility of the algorithm. Methods/Statistical analysis: In this paper, we used HOMER PRO and actual MG operational data. Two scenarios constructed based on applying or not the algorithm. In HOMER Pro, the same parameters entered and only the operating conditions of the diesel generator, BESS varied. This paper does not merely derive a generator combination for optimal operation of MG. The purpose of the analysis is to analyze the economic feasibility of the algorithm. Findings: The economic feasibility of applying the algorithm was analyzed under the condition that renewable energy generation capacity does not exceed the load. HOMER Pro presents optimal combination of MG according to input variables and condition setting. Therefore, HOMER PRO simulation was carried out according to whether the algorithm was applied or not, and the results for the same optimal combination were selected. And, the economics derived from the selected combinations were compared and analyzed. In the case of the scenario where the algorithm is applied, the diesel generator is operated at an optimal power ratio of 60~80%, and BESS is operated within the set SOC range (average 42.5%). As a result, when the algorithm is not applied, the COE is 1.87 ~ 12.09 $ and the applied COE is as 1.71 ~ 2.61 $. In other words, when the MG is operated by applying the algorithm, it can save about COE 0.16 ~ 9.48 $. Improvements/Applications: In the next research, we will apply the algorithm to area where the amount of renewable energy is abundant, and conduct the economic analysis. This will confirm the validity of the algorithm in various situations.
Keywords: Microgrid, MG, HOMER PRO, Renewable Energy, BESS, Diesel Generator, Economic Analysis.
Scope of the Article: Computer Architecture and VLSI