分散型係数図形法に基づく電力系統のロバスト周波数制御系設計

• Material Type: 博士論文
• Title: 分散型係数図形法に基づく電力系統のロバスト周波数制御系設計
• Author/Editor: Bernard, Michael Zontche
• Author Heading: Bernard, Michael Zontche
• Publication Date: 2015-03-25
• Publication Date (W3CDTF): 2015-03-25
• Alternative Title: Decentralized Coefficient Diagram Method Based Robust Frequency Control Design in Power System
• Degree Grantor: 九州工業大学
• Date Granted: 2015-03-25
• Date Granted (W3CDTF): 2015-03-25
• Dissertation Number: 甲第389号
• Degree Type: 博士（工学）
• Conferring No. (Dissertation): 甲工第389号
• Text Language Code: eng
• Subject Heading: Frequency Control; Coefficient Diagram Method; Wind Farms; Model Predictive Control; Proportional Integral Control
• Target Audience: 一般
• Note (General): 九州工業大学博士学位論文 学位記番号:工博甲第389号 学位授与年月日:平成27年3月25日; 平成26年度
• DOI: 10.18997/00004217; https://doi.org/10.18997/00004217
• Persistent ID (NDL): info:ndljp/pid/9491410; https://dl.ndl.go.jp/pid/9491410
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文; https://dl.ndl.go.jp/collections/A00014
• Acquisition Basis: 博士論文（自動収集）
• Date Accepted (W3CDTF): 2015-09-01T13:12:47+09:00
• Format (IMT): PDF; application/pdf
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Periodical Title (URI): https://doi.org/10.18997/00004217; http://hdl.handle.net/10228/5437
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• Summary, etc.: In an interconnected power system, area load change and abnormal conditions leads to mismatches within the system. Also, in recent years, renewable energy systems （RES） such as Wind Energy Systems （WES） has become the most popular renewable energy based generations. However, output fluctuations of WES can create imbalance between supply and demand. This imbalance can cause network frequency variations in power systems and thus reduce the power quality. To alleviate the mentioned problems, a control system is required to suppress the frequency fluctuations or oscillations caused by integrations of renewable energy sources and sudden load changes. Since, Proportional Integral （PI） controller cannot work under certain operating conditions, and due to problems of calculation burdens associated with the algorithms of other advance robust controllers such as Model Predictive Control （MPC）, it is necessary to implement a controller that is simple and reliable. The standard Coefficient Diagram Method （CDM） developed by Professor Shunji Manabe has an advantage because it is simple and robust, and solves the problem of calculation burden associated with MPC. But when the CDM is implemented for power system control, then problem of parameters’ tuning exist. One important aspect of the CDM is the stability indices. When using CDM for power system frequency control, the standard values for the stability indices cannot work. Therefore, they must be changed. However, changing the stability indices can be done based on experience or by trial and error; and this becomes a problem for new power system control designers. Hence, this work modifies the standard CDM by introducing feed forward and feedback compensators to compensate for deficient performances. The technique is proposed as a new frequency control scheme using the Coefficient Diagram Method as a decentralized robust controller, in various test scenarios; considering varieties of power system configurations. A three area interconnected power system is modelled, and this power system is assumed to be similar to the upcoming power system approved by the African development bank; which will interconnect Liberia, Guinea and Sierra Leone. These countries utilize hydro and steam turbines within their respective areas, but the problem of poor power quality which is highly related to frequency control requires attention. In this work, it is assumed that each country represents one area. Then, a three area power system assumed similar to their interconnection is modelled. With that, the proposed CDM is then implemented as control strategy to promote reliable electric power distributions. Digital simulations of various case studies are provided to validate the effectiveness of the proposed scheme. From the simulation results, it is shown that, considering the overall closed-loop system performance with the proposed CDM technique, robustness is demonstrated in the face of uncertainties due to governors and turbines parameters variation and loads disturbances. A performance comparison between the proposed controller, model predictive controllers （MPC）, and a classical proportional integral control （PI） scheme is carried out, confirming the superiority of the proposed CDM technique.
• DOI: 10.18997/00004217; https://doi.org/10.18997/00004217
• Format (IMT): application/pdf
• Source: kou_k_389.pdf （fulltext）; https://kyutech.repo.nii.ac.jp/record/4223/files/kou_k_389.pdf
• Access Restrictions: インターネット公開
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 九州工業大学 : キューテイカー

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