環境保護のための再生可能エネルギー発電導入による化石燃料消費量の削減に関する研究
引入可再生能源发电减少化石燃料消耗环境保护研究
基本信息
- 批准号:17J09020
- 负责人:
- 金额:$ 1.79万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for JSPS Fellows
- 财政年份:2017
- 资助国家:日本
- 起止时间:2017-04-26 至 2020-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Recently, I have successfully accomplished and published a research article that deals with the comparison approach of operational cost and consumer efforts for the smart grid system. There are two objectives considered for the smart power system i.e. the minimization of the operational cost and consumer efforts of demand responses. Typically, consumers do not want to make much effort for reducing or increasing their loads that is why this research is done for reducing consumer effort, besides lowering the fuel cost of thermal generations. Consumer efforts have been considered through the real-time pricing of electricity. Mainly a multi-objective algorithm such as Non-Dominated Sort Genetic Algorithm-II (NSGA-II) has been utilized to determine the optimum Pareto solution. Also, optimal values of NSGA-II have been compared with Epsilon Multi-Objective Genetic Algorithm (Epsilon-MOGA). There are three different scenarios reflected in this paper such as case 1, case 2 and case 3 for understanding the importance of consumer efforts. Case 1 considers the minimum operational cost and maximum customer efforts. Case 2 considers the moderate operational cost and moderate customer efforts, and case 3 considers the maximum operational cost and minimum customer efforts. Also, I work on smart grid management for the Afghanistan power system. Additionally, I have successfully completed some collaborative research work with some other researchers for power system voltage stability, techno-economic analysis and sustainable development.
最近,我成功地完成并发表了一篇研究文章,涉及智能电网系统的运营成本和消费者努力的比较方法。有两个目标考虑的智能电力系统,即最小化的运营成本和消费者的需求响应的努力。通常情况下,消费者不想为减少或增加他们的负荷付出太多努力,这就是为什么这项研究除了降低热发电的燃料成本外,还可以减少消费者的努力。消费者的努力已经通过实时电价得到了考虑。主要是一个多目标的算法,如非支配排序遗传算法-II(NSGA-II)已被用来确定最佳的Pareto解决方案。并将NSGA-II算法的最优值与Epsilon-MOGA算法进行了比较。本文中反映了三种不同的场景,如案例1,案例2和案例3,以了解消费者努力的重要性。案例1考虑最小的运营成本和最大的客户努力。案例2考虑适度的运营成本和适度的客户努力,案例3考虑最大的运营成本和最小的客户努力。此外,我还为阿富汗电力系统从事智能电网管理工作。此外,我还成功地完成了一些与其他研究人员的电力系统电压稳定性,技术经济分析和可持续发展的合作研究工作。
项目成果
期刊论文数量(19)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Demand-side Fuel-cells and Controllable Loads to Reduce Operational Costs of Micro-grid through Optimal Unit Commitment
需求侧燃料电池和可控负荷通过最优机组投入降低微电网运营成本
- DOI:
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Harun Or Rashid Howlader; Ahmed Yousuf Saber;Tomonobu Senjyu
- 通讯作者:Tomonobu Senjyu
Optimal Consumer Efforts and Operational Costs Based Analysis for a Smart Grid
基于智能电网的最佳消费者努力和运营成本分析
- DOI:10.1080/15325008.2019.1663296
- 发表时间:2019
- 期刊:
- 影响因子:1.5
- 作者:Howlader Harun Or Rashid;Lotfy Mohammed E.;Shigenobu Ryuto;Matayoshi Hidehito;Senjyu Tomonobu
- 通讯作者:Senjyu Tomonobu
A sustainable microgrid: A sustainability and management-oriented approach
可持续微电网:可持续发展和以管理为导向的方法
- DOI:10.1016/j.egypro.2018.12.045
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Shah Danish Mir Sayed;Senjyu Tomonobu;Funabashia Toshihisa;Ahmadi Mikaeel;Ibrahimi Abdul Matin;Ohta Ryoya;Rashid Howlader Harun Or;Zaheb Hameedullah;Sabory Najib Rahman;Sediqi Mohammad Masih
- 通讯作者:Sediqi Mohammad Masih
Energy Storage System Analysis Review for Optimal Unit Commitment
- DOI:10.3390/en13010158
- 发表时间:2019-12
- 期刊:
- 影响因子:3.2
- 作者:H. Howlader;Oludamilare Bode Adewuyi;Yingyi Hong;P. Mandal;Ashraf Mohamed Hemeida;T. Senjyu
- 通讯作者:H. Howlader;Oludamilare Bode Adewuyi;Yingyi Hong;P. Mandal;Ashraf Mohamed Hemeida;T. Senjyu
Smart House-based Optimal Operation of Thermal Unit Commitment for a Smart Grid Considering Transmission Constraints
考虑输电约束的智能电网热机组承诺优化运行
- DOI:10.1080/14786451.2017.1284849
- 发表时间:2017
- 期刊:
- 影响因子:3.1
- 作者:Obata Ippei;Fujita Tomohiro;Harun Or Rashid Howlader; Mohammad Masih Sediqi; Abdul Matin Ibrahimi; Tomonobu Senjyu;Harun Or Rashid Howlader; Hidehito Matayoshi; Ahmad Samim Noorzad; Cirio Celestino Muarapaz; Tomonobu Senjyu
- 通讯作者:Harun Or Rashid Howlader; Hidehito Matayoshi; Ahmad Samim Noorzad; Cirio Celestino Muarapaz; Tomonobu Senjyu
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