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MPC Active and Reactive Coordinated Voltage Control Considering Adjustment Cost
ID：95 View Protection：PUBLIC Updated Time：2022-05-15 23:16:16 Hits：350 Poster Presentation

Start Time：Pending（Asia/Shanghai）

Duration：Pending

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Abstract
When a high proportion of distributed photovoltaic (PV) is connected to the distribution network, the mismatch of source and charge may lead to voltage overrun. In this paper, a coordinated control method of active and reactive power considering equipment adjustment cost is proposed to reduce the adjustment cost of voltage control. Firstly, based on the lack of reactive power margin, a multi-layer distributed mathematical model is established. Among them, the economic adjustment layer puts forward the adjustment cost coefficient, builds the system adjustment cost model based on the uncontrollable cost and controllable cost, calculates the state variable mathematical model of the PV inverter and energy storage, and solves the output of each fast-moving equipment with the goal of minimizing the system voltage danger coefficient and adjustment cost. The recovery control layer establishes the optimization model with the goal of minimizing the security fluctuation of the power grid in each period of the day after releasing the capacity. The simulation results show that the proposed control method can effectively eliminate the influence of voltage deviation and voltage prediction error on real-time operation, and ensure the optimal adjustment cost of the system.
When a high proportion of distributed photovoltaic (PV) is connected to the distribution network, the mismatch of source and charge may lead to voltage overrun. In this paper, a coordinated control method of active and reactive power considering equipment adjustment cost is proposed to reduce the adjustment cost of voltage control. Firstly, based on the lack of reactive power margin, a multi-layer distributed mathematical model is established. Among them, the economic adjustment layer puts forward the adjustment cost coefficient, builds the system adjustment cost model based on the uncontrollable cost and controllable cost, calculates the state variable mathematical model of the PV inverter and energy storage, and solves the output of each fast-moving equipment with the goal of minimizing the system voltage danger coefficient and adjustment cost. The recovery control layer establishes the optimization model with the goal of minimizing the security fluctuation of the power grid in each period of the day after releasing the capacity. The simulation results show that the proposed control method can effectively eliminate the influence of voltage deviation and voltage prediction error on real-time operation, and ensure the optimal adjustment cost of the system.
 
Keywords
distribution network; adjust the cost coefficient; voltage out of limit; model predictive control; multilayer control
Speaker
ChenLuo
合肥工业大学

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Important Date

  • Conference Date

    May 27

    2022

    to

    May 29

    2022

  • Feb 28 2022

    Draft paper submission deadline

  • May 29 2022

    Registration deadline

  • Jun 22 2022

    Contribution Submission Deadline

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IEEE Beijing Section
China Electrotechnical Society
Southeast University
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IEEE Industry Applications Society
IEEE Nanjing Section
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