The islanded microgrid is an effective approach for improving the utilization rate of renewable resources
and the dynamic economic dispatch is a vital part of microgrid operation. This paper provides a model of dynamic economic dispatch for islanded microgrids
and proposes a consensus-based distributed method of implementation. The system optimization is realized through the local computation and a little neighborhood information exchange among the units. The approach is comprised of two stages. In the first stage
each unit obtains systemic information by the average consensus algorithm
then the power demand scheduling for the controllable loads can be pre-arranged to maximize the utilization of renewable energy. In the second stage
the dynamic optimization problem is decomposed into a series of single-period economic dispatch problem by updating the upper and lower output boundaries of generators or energy storage systems in each time period. Then a pinning consensus algorithm is used by each unit to calculate the optimal output of each time period based on the equal incremental rate criteria. Simulation results are presented to demonstrate the validity of the proposed model and approach.
Dynamic Economic Dispatch Considering Adaptive Look-ahead Time Scale
电力信息物理系统需求操控攻击策略及防护分析
Load Modeling of Regenerative Electric Boiler Considering Inconsistency of Heat Transfer
Modeling and Variable Temperature Control for Instant Consumption of Renewable Energy in Data Center Cooling Systems
Related Author
GUO Junshao
WANG Mingqiang
HAN Xueshan
YANG Ming
DING Zhaohao
YAN Kang
LI Bin
BAI Xiaoqing
Related Institution
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)
Jiaozuo Power Supply Company of State Grid Henan Electric Power Co., Ltd.
Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education (Shandong University)
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China