Pub Date : 2021-12-02DOI: 10.9734/bpi/nper/v4/3680f
D. Sidibé, A. Konaté, O. Kaba, S. Traoré
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Pub Date : 2021-12-02DOI: 10.9734/bpi/nper/v4/14499d
Imen Saidi, Islem Bejaoui, N. Touati
{"title":"Study on Nonlinear Internal Model Control Based Neural Networks: An Application to MIMO Non-Square Systems","authors":"Imen Saidi, Islem Bejaoui, N. Touati","doi":"10.9734/bpi/nper/v4/14499d","DOIUrl":"https://doi.org/10.9734/bpi/nper/v4/14499d","url":null,"abstract":"","PeriodicalId":376648,"journal":{"name":"Novel Perspectives of Engineering Research Vol. 4","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114573232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-10DOI: 10.9734/bpi/nper/v4/3969f
M. Murali, M. S. Kumari, M. Sydulu
In restructured electricity markets, an effective transmission pricing method is required to address transmission issues and to generate correct economic signals. Transmission line constraints can result in variations in energy prices throughout the network. These prices depend on generator bids, load levels and transmission network limitations. Locational Marginal Pricing (LMP) is a dominant approach in energy market operation and planning to identify nodal prices and manage transmission congestion. This paper presents a Genetic Algorithm (GA) based security constrained economic dispatch (SCED) approach to evaluate LMP’s at all buses while minimizing total system fuel cost for a constrained transmission system, with and without considering system losses. The proposed GA based SCED approach is applied to EEE 14 bus, 75 bus Indian power system and New England 39 bus system. The results obtained are compared with conventional Linear Programming based DCOPF using Power World Simulator. Both fixed and linear bids are considered for generators. The load is assumed to be inelastic. The proposed GA based SCED for LMP calculation is proved to be very simple, reliable and efficient in all the studied cases. Further, the optimal redispatch of generators using GA leads to overall reduction in generation fuel cost.
在重构的电力市场中，需要一种有效的输电定价方法来解决输电问题并产生正确的经济信号。输电线路的限制会导致整个电网能源价格的变化。这些价格取决于发电机的出价、负荷水平和输电网络的限制。区位边际定价(LMP)是能源市场运行和规划中确定节点价格和管理输电拥塞的主要方法。本文提出了一种基于遗传算法(GA)的安全约束经济调度(SCED)方法，在考虑和不考虑系统损耗的情况下，在所有总线上评估LMP，同时最小化系统总燃料成本。提出的基于遗传算法的SCED方法应用于ee14总线、75总线印度电力系统和新英格兰39总线系统。利用Power World Simulator将所得结果与传统的基于线性规划的DCOPF进行了比较。发电机的固定报价和线性报价都要考虑。假定载荷是非弹性的。所有研究实例都证明了基于遗传算法的SCED求解LMP的简单、可靠和高效。此外，利用遗传算法对发电机进行优化调度，可以降低发电燃料成本。
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