Publication Date : 06/06/2023

Author(s) :

Muhammad Buhari, Jorge Angarita Marquez, Geev Mokyryani.

Volume/Issue :
Volume 18
Issue 2
(06 - 2023)

Abstract :

This paper proposes a novel a multi-stage stochastic problem to minimize the cost of the Distribution System (DS) including the Distribution Network (DN) and customer costs. This paper proposes a central planning approach where the decision variables are the sizing, siting, and operation of Battery Energy Storage Systems (BESS), the sizing and siting of Distributed Generation (DG) and capacity of the distribution lines. The algorithm estimates the optimal BESS’s energy storage capacity as well as the maximum hourly delivery capacity. The customers’ objective function is the capacity and energy payments minus the saving and revenue from DG. The Distribution Network Operator’s (DNO) goal is to minimize the cost of the distribution network and BESS’s investments and operational costs. Since the model has a long-term approach, the paper presents the implementation of Expected Value as decision criterion to handle the uncertainty. The impact of the remuneration rules for DG on customers’ and DN’s cost are calculated. The results show that the incorporation of DG brings important benefits to the customers while BESS provide modest improvements.

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