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SCIENTIA SINICA Informationis, Volume 48, Issue 10: 1381-1394(2018) https://doi.org/10.1360/N112018-00071

Distributed coordinated predictive control for microgrids with seawater desalination system

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  • ReceivedJun 20, 2018
  • AcceptedJul 10, 2018
  • PublishedOct 26, 2018

Abstract

Microgrid power generation systems are applied in seawater desalination systems in accordance with the load demand characteristics of seawater desalination systems. This study aims to propose a distributed coordinated predictive control scheme based on the principle that the wind power subsystem is operated as a primary system, the photovoltaic subsystem is considered as an auxiliary system, and the battery is activated only when the wind and photovoltaic subsystem cannot satisfy the power demand. Distributed coordinated predictive controllers were separately designed for wind power and photovoltaic power generation subsystems in the microgrid to coordinate the output power of each power generation subsystem. The distributed predictive controller optimized the corresponding cost function by considering the constraints of the microgrid output power and its change rate to ensure that the power demand of the seawater desalination system was satisfied. Simulation results showed that under various environmental conditions, the proposed distributed coordinated predictive control method allocated the output power of each generation subsystem rationally. This behavior satisfied the power demand of the seawater desalination system and limited the excessive fluctuation of output power to protect power generation equipment.


Funded by

中央高校基本科研业务费专项基金(2017ZZD004)

北京市自然科学基金(4173079)


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  • Figure 1

    The structure diagram of micro-grid and seawater desalination system

  • Figure 2

    The equivalent circuit diagram of battery

  • Figure 3

    The ideal environment conditions and the freshwater demand. (a) Wind speed; (b) temperature; (c) illumination; (d) freshwater demand

  • Figure 4

    The output power of micro-grid power generation subsystem under ideal environment. (a) Output power of wind generation subsystem; (b) output power of photovoltaic generation subsystem; (c) output power of wind and photovoltaic generation subsystem (solid line), total power demand (dash line) and output power of battery (dotted line)

  • Figure 5

    The terrible environment conditions and the freshwater demand. (a) Wind speed; (b) temperature; (c) illumination; (d) freshwater demand

  • Figure 6

    The output power of micro-grid power generation subsystem under terrible environment. (a) Output power of wind generation subsystem; (b) output power of photovoltaic generation subsystem; (c) output power of wind and photovoltaic generation subsystem (solid line), total power demand (dash line) and output power of battery (dotted line)

  • 1   Table 1The key parameters of micro-grid and seawater desalination system
    Parameter Value Parameter Value
    Fluid density ($\rho_{w}$) 1007 kg/m$^{3}$ Number of PV cells ($n_{s}$,$n_{p}$) (200, 5)
    Pipe cross-sectional area ($A_{p}$) 1.27E$-$4 m$^{3}$ Reverse saturation current ($I_{\rm~rs}$) 3.27 A
    Membrane area ($A_{s}$) 15.6 m$^{3}$ Deviation of P-N junction ($A$) 1.6
    Overall power efficiency ($\eta$) 0.9 Temperature of P-N junction ($T$) 301.18 K
    PMSG number of poles ($P$) 28 Converter capacitance ($C$) 1000 $\mu$F
    Turbine radius ($R$) 1.84 Converter inductance ($L$) 4 mH
    Stator windings resistance ($R_{s}$)0.3676 $\Omega$ Battery equivalent resistance ($R_{b}$) 14 m$\Omega$
    Stator windings inductance ($L$) 3.55 mH Battery equivalent capacitance ($C_{b}$)1.8E+5 F
    Stator windings flux ($\phi_{m}$) 0.2867 Wb Battery equivalent voltage ($E_{b}$) 48 V
    Rotational inertia ($J$) 7.856 kgm$^{2}$

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