TY - JOUR
T1 - Optimal capacity planning of MG with multi-energy coordinated scheduling under uncertainties considered
AU - Bao, Zhejing
AU - Zhou, Qin
AU - Wu, Lei
AU - Yang, Zhihui
AU - Zhang, Jianhua
N1 - Publisher Copyright:
© The Institution of Engineering and Technology.
PY - 2017/11/30
Y1 - 2017/11/30
N2 - 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.
AB - 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.
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U2 - 10.1049/iet-gtd.2016.1622
DO - 10.1049/iet-gtd.2016.1622
M3 - Article
AN - SCOPUS:85039055325
SN - 1751-8687
VL - 11
SP - 4146
EP - 4157
JO - IET Generation, Transmission and Distribution
JF - IET Generation, Transmission and Distribution
IS - 17
ER -