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- W4313147956 abstract "This paper proposes a novel two-stage model predictive coordinated control (MPC) method for the coordinated control of distributed energy storage (DES) in distribution networks to realize the balanced economy and robustness. In the day-ahead optimization stage, firstly, the battery life of DES under different operation modes is quantitatively evaluated with the rain-flow calculation method, and the impact of time-of-use electricity price (TOU) and the randomness of renewable energy and load are considered in detail. Then, the day-ahead economic operation benchmark plan of DES is formulated with the objective of overall economic optimization. In the intra-day optimization stage, based on the voltage sensitivity matrix and charging and discharging characteristics of DES, a unified state-space based MPC coordination control model is constructed to sense the trend of system nodal voltage as well as the state of charge (SOC) of DES ahead of time, so as to implement advanced optimal regulation and rolling control for each DES to ensure the track of the economic optimization plan formulated. Meanwhile, the voltage fluctuation and out of limit phenomenon caused by short-term source load power fluctuation can also be effectively suppressed, and the robustness of system operation is effectively enhanced. Finally, the numerical analysis is carried out on the modified IEEE-33 nodes distribution network, the results verify the effectiveness and superiority of the proposed model and algorithm." @default.
- W4313147956 created "2023-01-06" @default.
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- W4313147956 date "2022-07-08" @default.
- W4313147956 modified "2023-09-26" @default.
- W4313147956 title "MPC Based Coordinated Control Method for Distributed Energy Storage in Distribution Network with Balanced Economy and Robustness" @default.
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- W4313147956 doi "https://doi.org/10.1109/icpsasia55496.2022.9949715" @default.
- W4313147956 hasPublicationYear "2022" @default.
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