Affiliation:
1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
2. Rail Transit Electrical Automation Engineering Laboratory of Gansu Province, Lanzhou Jiaotong University, Lanzhou 730070, China
Abstract
To satisfy the large-scale grid-connected demands of distributed energy resources (DERs), a bi-level optimization model is proposed for private DER dispatch managed by a virtual power plant (VPP) in a smart grid environment in this paper. The optimization models of the upper and lower layers serve as the planning layer and the operational layer, respectively, wherein the upper optimization model is mainly aimed at the optimization allocation of DERs under an unchanged network topology, and the lower-level optimization model is mainly responsible for the optimization of the distributed network topology from the optimization results of the upper layer. An improved harmony searching algorithm (HSA) is then applied to resolve the model through continuous iterations and communications between the upper and lower levels until an expected aim is achieved, which can satisfy the aim demand of the upper and the lower levels at the same time. Finally, six optimization scenarios are planned and selected in order to evaluate the performance of the bi-level optimization strategy in the IEEE33 bus distribution system and the 69-bus distribution system, and the optimized results show that the proposed method can effectively improve the grid-connected capacity of DERs and their system performance, and are more flexible in facing a growing ambient smart environment.
Funder
National Nature Science Foundation of China
Key Project of Science and Technology Research and Development Plan of China Railway Co., Ltd.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference35 articles.
1. Jenkins, N., Ekanayake, J.B., and Strbac, G. (2010). Distributed Generation, The Institution of Engineering and Technology.
2. Sitting and Sizing of Distributed Generation Based on Improved Simulated Annealing Particle Swarm Optimization;Su;Environ. Sci. Pollut. Res.,2019
3. Awerbuch, S., and Preston, A. (1997). The Virtual Utility: Accounting, Technology & Competitive Aspects of the Emerging Industry, Springer.
4. Review of virtual power plant technology abroad and enlightenment to China;Chen;Power Syst. Technol.,2009
5. Distribution network reconfiguration based on improved immune genetic algorithm;Yu;Power Syst. Technol.,2009