Optimal scheduling strategy of active distribution system using brain storm optimisation algorithm. Issue 13 (12th December 2017)

• Record Type: Journal Article
• Authors: Jiandong, Duan; Lupeng, Chen; Qian, Sun; Jing, Wang; Teng, Mu; Fuping, Yan
• Is Part Of: Journal of engineering. Volume 2017:Issue 13(2017)
• Page Start: 2246
• Page End: 2250
• Publication Date: 2017-12-12
• Subjects: load flow -- load dispatching -- distributed power generation -- distribution networks -- optimisation -- power distribution control -- scheduling; brain storm optimisation algorithm -- optimal scheduling strategy -- active distribution system -- ADS -- core technology -- clean energy resources -- safe operation -- economical operation -- optimal dispatching model -- DERs features -- voltage quality -- minimising the operational expenditures -- complete scheduling cycle -- controllable DERs output -- nonlinear model -- optimal scheduling model -- improved IEEE33 nodes system; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0730
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : The optimal scheduling strategy of the active distribution system (ADS) is the core technology required to actively manage distributed clean energy resources (DERs) and to guarantee the safe and economical operation of ADS. This study presents an optimal dispatching model for the ADN on the basis of ADS itself and DERs features, whose purposes are making full use of clean energy resources, improving voltage quality and minimising the operational expenditures in a complete scheduling cycle by means of controllable DERs output. For the non‐linear model, the brain storm optimisation algorithm is applied to solve the optimal scheduling model of ADS. A large number of case studies using the improved IEEE33 nodes system demonstrate the validity of the proposed the strategy.