Optimal planning strategy for energy internet zones based on interval optimization

Energy internet zones integrate various distribution generators and energy kinds together as whole to satisfy consumers' different energy requirements. It can achieve higher energy efficiency, but suffers various uncertainties, like renewable power and energy demands. Because the time scope is several years, the uncertainties are difficult to precisely obtained. Thus, this paper adopted a interval optimal planning strategy for energy internet zones. The uncertainties are modeled by interval numbers. The planning strategy determines the optimal configuration and optimize the energy internet zone's cost intervals. The interval numbers' ordering is defined by decision maker's degree of pessimism for risk aversion. A case study is Shanghai is adopted to illustrate the proposed model can minimize the energy internet zone's possible cost intervals and manage risk. (C) 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of the scientific committee of the 7th International Conference on Power and Energy Systems Engineering, CPESE 2020.