Optimal planning strategy for energy internet zones based on interval optimization

• Main Authors: Yangyang Liu, Guangli Wang, Jiangxin Zhou, Renjie Dai, Feng Yu
• Format: Article
• Language: English
• Published: Elsevier 2020-12-01
• Series: Energy Reports
• Subjects: Planning strategy; Energy internet zones; Interval optimization; Degree of pessimism
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352484720314712

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.