A gain scheduling approach to improve pressure control in water distribution networks

https://doi.org/10.1016/j.conengprac.2020.104612Get rights and content

Highlights

  • Stability issues affect real time pressure control in water distribution networks.

  • Problems are caused by strong process gain nonlinearity and resonance peaks.

  • Nonlinearity inversion and gain scheduling allow compensating the nonlinearity.

  • Gain scheduling can improve the overall control performances.

  • Gain scheduling avoids heavy regulator retuning when applied to the plant.

Abstract

Real time pressure control is a common technique adopted to face the problem of leakage reduction in water distribution networks. Recently, in the context of Water 4.0, the spread of wired water distribution networks has opened new possibilities in terms of sensing and communication, resulting in the possibility of adopting higher sampling rates and consequently higher closed-loop bandwidths for the control system. While this could be exploited to improve the performance, it has also drawn the attention of the fundamental question of closed-loop stability, which was seldom considered in a systematic way, especially in the hydraulic community. This works aims to combine some recent results in term of design of frequency domain controllers with a gain scheduling approach, to account and compensate for the main nonlinearities affecting the system under control, and to preserve stability and robustness of the closed-loop in a wide operating region. The approach is validated by means of simulated experiments performed on a detailed dynamic model of the water distribution network. In addition, the gain scheduling approach can improve the overall performance of the control scheme and allows avoiding heavy retuning of the regulator when applied to the nonlinear system.

Introduction

Real Time Control (RTC) of service pressure plays a fundamental role in the context of Water Distribution Networks (WDNs) management, allowing for leakage reduction (Creaco and Walski, 2017, Farley and Trow, 2003), pipe burst abatement (Creaco and Walski, 2017, Lambert et al., 2013, Thornton and Lambert, 2006) and overall infrastructure life extension. The WDN is first subdivided in homogeneous pressure zones (Walski et al., 0000). On this basis, hierarchical control schemes are developed, with high-level optimal controllers defining the pressure setpoints for the different pressure zones, according to an economic cost–benefit evaluation over the whole network, and RTC controllers working as low-level controllers to ensure regulation to the assigned setpoint (Cembrano et al., 2000, Grosso, Maestre, et al., 2014, Grosso, Ocampo-Martínez, et al., 2014, Grosso et al., 2017, Ocampo-Martinez et al., 2012, Ocampo-Martinez et al., 2013, Toro et al., 2011). Recently, the spread of wired water distribution networks, promoted by the Water 4.0 approach, is attracting new interest on the design of low level controllers. In fact, in wired WDNs, sensors and actuators are connected by wire to control units: this allows developing new control approaches working with high sampling rates. Some recent works (Fontana, Giugni, Glielmo, Marini, and Verrilli, 2017, Fontana, Giugni, Glielmo, Marini, and Zollo, 2017, Galuppini et al., 2019) try to investigate this approach and compare it to more traditional control strategies (Campisano et al., 2009, Campisano et al., 2016, Campisano et al., 2011, Creaco et al., 2018, Creaco and Franchini, 2013), to understand how to exploit the new communication possibilities at best. The design of such control algorithms results particularly challenging, due to the complexity of the nonlinear system under control, and the topic of guaranteed closed-loop stability, which was previously disregarded by the hydraulic community, is getting more and more attention (Galuppini et al., 2020, Janus and Ulanicki, 2017, Janus and Ulanicki, 2018). In particular, Fontana, Giugni, Glielmo, Marini, and Verrilli (2017) and Galuppini et al. (2019) propose a model-based frequency domain approach, with regulators based on a linear, local model of the system dynamics around the working point. The issue of stability is faced by providing robustness margins against gain and phase variations. Galuppini et al. (2020) further investigates the problem of stability, and demonstrates that a poor description of the high frequency behaviour of the system, together with the strong gain nonlinearity affecting the Pressure Control Valves (PCVs) exploited as actuators, may result in highly overestimated robustness margins and, eventually, in closed-loop instability as the process moves from its nominal working point. The aim of this paper is to improve the design methodology originally developed in Galuppini et al. (2019), to explicitly account and compensate for the main static nonlinearities characterising the process under control. This is achieved by means of a proper choice of the control variable (inspired by Creaco, 2017), a nonlinearity inversion block, and a gain scheduling approach. The gain scheduling policy is further extended to better manage the regulation error vs cost of control trade-off at different operating points of the system. The correctness of the approach is verified by means of closed-loop simulations, performed on a detailed model of two different WDN topologies and different user demand scenarios. This paper is organised as follows: Section 2 describes the different case studies adopted for simulations while Section 3 reports the details of their numerical modelling; Section 4 discusses the control methodology and Section 5 its application to the case studies. Finally, a detailed discussion of the results, including a comparison with similar algorithms, is given in Section 6, while the conclusions are reported in Section 7.

Section snippets

Case studies

The control algorithms developed in this work are tested over two different WDN topologies, characterised by very different dynamic behaviours. For sake of comparison, reference is made to the same case studies adopted in Galuppini et al., 2019, Galuppini et al., 2020, which can be consulted for further details. For both case studies, the control goal is the regulation to the setpoint of the measured pressure at the critical node, in presence of process disturbances generated by the time

Numerical model

Unsteady flow modelling (Creaco et al., 2017, Streeter et al., 1998) allows a proper analysis of the hydraulic transients due to rapid nodal demand and/or valve setting variations, and is therefore adopted in this work to develop a simulated environment for the WDNs considered as case studies.

For a generic pipe of a WDN, the one-dimensional unsteady flow equations take the form: hpx+1gAQpt+Jp=0hpt+c2gAQpx+c2qgA=0where hp[m] and Qp[m3s] are the pressure head and the flow discharge along

Control algorithm design methodology

This section is devoted to the description of the control algorithm design methodology. In particular, the design consists of three main phases:

  • Nominal design of the regulator.

  • Definition of a gain scheduling policy to compensate for process gain nonlinearities.

  • Definition of an additional gain scheduling policy to balance between cost of control and regulation error at different working points.

Each step of the procedure is described in detail in the following subsections.

Application

This Section is devoted to the application of the methodology to the two case studies introduced in Section 2. To quantify and compare the performances of the different control schemes, two metrics are introduced. All signals are sampled with a 1 s sampling time. Let k be the current discrete-time instant. Let h(k) be the measured pressure, hsp be the pressure setpoint, α(k) be the valve closure and Δα(k)=α(k)α(k1) be the variation of the valve closure over a single sampling time. Let e(k)=h(k

Discussion of results

The FPISPgs control algorithms described in this work was successfully tested in two case studies characterised by different dynamic behaviours. The dynamics of Case Study A, a water distribution system with a simple topology, is in fact dominated by the water hammer effect. On the contrary, in case of Case Study B, the dynamics is mainly determined by its complex topology. In both cases the control algorithm provided satisfactory results all over a wide range on operating conditions, with

Conclusion

This paper proposed a frequency domain control design with a gain scheduling approach to improve real time pressure control in water distribution networks. The algorithm was extensively tested with simulations on a numerical model of the WDN. In particular, two different topologies and different demand profiles were considered, to assess its performances over a wide range of situations. The algorithm delivered satisfactory results, and detailed comparison with a simpler class of frequency

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References (36)

  • CiaponiC. et al.

    Procedure for defining a pressure-outflow relationship regarding indoor demands in pressure-driven analysis of water distribution networks

    Water Resources Management

    (2015)
  • CreacoE.

    Exploring numerically the benefits of water discharge prediction for the remote rtc of wdns

    Water

    (2017)
  • CreacoE. et al.

    Unsteady flow modeling of pressure real-time control in water distribution networks

    Journal of Water Resources Planning and Management

    (2017)
  • CreacoE. et al.

    Testing behavior and effects of prvs and rtc valves during hydrant activation scenarios

    Urban Water Journal

    (2018)
  • CreacoE. et al.

    A new algorithm for real-time pressure control in water distribution networks

    Water Science and Technology: Water Supply

    (2013)
  • CreacoE. et al.

    Economic analysis of pressure control for leakage and pipe burst reduction

    Journal of Water Resources Planning and Management

    (2017)
  • FarleyM. et al.

    Losses in water distribution networks

    (2003)
  • FontanaN. et al.

    Real-time control of a prv in water distribution networks for pressure regulation: Theoretical framework and laboratory experiments

    Journal of Water Resources Planning and Management

    (2017)
  • Cited by (0)

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