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

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.

► Optimal sizes, locations and power factors of DGs are determined in planning horizon.
► Time varying voltage dependent load model is considered for each type of customers.
► A novel and efficient economic objective function is proposed for DG planning.
► Various customer demand types have significant effects on optimal DGs options.
► Results show that the proposed method is better than cost-based objective function.