Technical and economic impacts of active management on distribution network |
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| Authors: | Jietan Zhang Haozhong Cheng Chun Wang |
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| Affiliation: | 1. Department of Electrical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai 200240, PR China;2. Department of Electrical Engineering and Automation, Nanchang University, Nanchang 330031, PR China;1. Electrical and Computer Engineering Department, Stevens Institute of Technology, NJ, USA;2. Electrical and Computer Engineering Department, Clarkson University, NY, USA;1. Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Evin, Tehran, Iran;2. Department of Electrical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran;1. Department of Science, Education Faculty, Afyon Kocatepe University, 03200 Afyon, Turkey;2. Department of Mechatronics Engineering, Faculty of Technology, Suleyman Demirel University, Cunur, West Campus, Isparta, Turkey;3. Faculty of Engineering and Applied Science, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Oshawa, Ont. L1H 7K4, Canada;4. Faculty of Mechanical Engineering, Yildiz Technical University, Istanbul, Turkey;1. School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China;2. Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA;3. Energy Systems Division, Argonne National Laboratory, Lemont, IL 60439, USA;4. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China |
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| Abstract: | With the deregulation of energy market and the appeal for environment protection, more and more distributed generation (DG) is embedded in the distribution network. However the approach of connecting DG in most cases is based on a so-called “fit and forget” policy and the capacity of DG is limited rigidly by distribution network operator (DNO) to avoid the negative effects of high level penetration. Therefore active management (AM) is put forward as an effective method to network reinforcement for the connection and operation of DG. In this paper, the concept and principle of AM are introduced, and several indices are proposed to evaluate both technical and economic impacts of AM on distribution network with DG. To simplify the simulation fuzzy C-means clustering (FCM) algorithm is introduced. The test results on a sample system represent that AM will lead to decrease of power generation of DG, but it can reduce energy losses and improve voltage profile effectively. Furthermore, AM will take great economic incentives to DG developer as well as DNO with reasonable policy. |
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