posted on 2024-11-23, 06:10authored byCameron MacRae, Melih OzlenMelih Ozlen, Andreas Ernst, Sam Behrens
In this paper we present a mixed integer programming (MIP) formulation of an electricity network expansion planning model that considers the location, sizing, and operation of energy storage systems (ESS) as well as additional circuits. The model includes constraints to manage generator ramp rates, ESS charge/discharge rates, and losses on power transferred
to, from, and within storage. Two new test networks based on representative feeder taxonomies identified by the National Feeder Taxonomy Study are used to demonstrate the use of
the model, and a procedure to create other such test systems is defined. We find that ESS are typically omitted from the expansion plan as the cost of installing the new circuits is
currently less than the cost of distribution scale energy storage.
Funding
Unlocking the potential for linear and discrete optimisation in knot theory and computational topology
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.