Optimal capacity planning of MG with multi-energy coordinated scheduling under uncertainties considered

Zhejing Bao, Qin Zhou, Lei Wu, Zhihui Yang, Jianhua Zhang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Multi-objective optimisation of capacity planning for a grid-connected Microgrid (MG) with multi-energy demands is developed in this study. The optimal multi-energy coordinated scheduling, in which uncertainties of renewable energy generation and electricity demand are described by uncertainty intervals, is considered within the capacity planning model. To solve the capacity planning problem while considering the optimal scheduling with uncertainties, a two-level optimisation approach is proposed by integrating interval mixed integer linear programming for scheduling into the multi-objective particle swarm optimisation for capacity planning. The multi-objective addresses the economic issue by minimising the worst-case optimal annual costs of device investments, operation and maintenance, and pollutant emission treatment, as well as the reliability concern by minimising the worst-case optimal annual costs of energy outage. Several MG cases studies are shown to demonstrate the proposed method.

Original languageEnglish
Pages (from-to)4146-4157
Number of pages12
JournalIET Generation, Transmission and Distribution
Volume11
Issue number17
DOIs
StatePublished - 30 Nov 2017

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