A profit-centric strategy for distributed generation planning considering time varying voltage dependent load demand

Nouri, H.; Ebrahimi, R.; Ehsan, M.; Nouri, Hassan

Abstract

This paper proposes a new algorithm to determine the best connection of multiple distributed generations (DGs) on distribution networks according to type of customers. The considered DG technology is combined heat and power (CHP) in various sizes which can be extended to other technologies. Different types of demand, such as industrial, residential and commercial are defined by the load model that is voltage dependent and the load patterns from real life hourly demand data. This method which is based on multi-year multi-period power flow is useful for Distribution Network Operators (DNOs) when they are faced with voltage dependent load models in their networks. However it can be used in constant load models with multi-period or single demand. The proposed optimization is from the DNO's perspective and aims to maximize their present value of profit against the supplying costs of the network. It is shown that by definition of an appreciated economic based objective function, the customer type can significantly affect the optimal DG options in distribution network planning. Finally, this method is tested using the 69-bus radial system. Furthermore, a comparative study for different customer demand types is shown for various cases and results are discussed in this paper. © 2012 Elsevier Ltd. All rights reserved.

• Journal Article Type: Article
• Publication Date: Jan 1, 2013
• Journal: International Journal of Electrical Power and Energy Systems
• Print ISSN: 0142-0615
• Publisher: Elsevier
• Peer Reviewed: Not Peer Reviewed
• Volume: 44
• Issue: 1
• Pages: 168-178
• DOI: https://doi.org/10.1016/j.ijepes.2012.07.039
• Keywords: distributed generation, DG, short term planning, time varying voltage dependent load model, genetic algorithm, ; distribution network
• Public URL: https://uwe-repository.worktribe.com/output/936083
• Publisher URL: http://dx.doi.org/10.1016/j.ijepes.2012.07.039