1. Optimal capacity planning of MG with multienergy coordinated scheduling under uncertainties considered.
- Author
-
Zhejing Bao, Qin Zhou, Lei Wu, Zhihui Yang, and Jianhua Zhang
- Subjects
ELECTRIC power distribution grids ,RENEWABLE energy sources ,ELECTRIC power production ,PARTICLE swarm optimization ,MIXED integer linear programming ,ENERGY consumption - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF