Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Optimization-Based Control of Distributed Battery Storage in Distribution Networks

Wilhiam de Carvalho, Ahmad Attarha, Hemanshu R. Pota

Abstract

We propose a combined global-local control approach to regulate voltage and minimize power losses in distribution networks with high integration of distributed energy resources (DERs). Local controllers embed the fast acting proportional volt-var-watt control law and have their gain (slope) coefficients updated regularly by a global optimization problem at a slower time-scale. Design of optimal coefficients preserve overall system stability and encapsulate inverter and energy limits of controllable DERs. The proposed approach is formulated based on a linear network model (LinDistFlow) and suitable approximations to produce a convex multi-period optimization formulation. Numerical simulations with real-world customer data and two different distribution feeders revealed that our approach provides substantial voltage regulation, while reducing losses by 11 per cent and peak substation power by 26 per cent compared to other state-of-the-art algorithms.

Optimization-Based Control of Distributed Battery Storage in Distribution Networks

Abstract

We propose a combined global-local control approach to regulate voltage and minimize power losses in distribution networks with high integration of distributed energy resources (DERs). Local controllers embed the fast acting proportional volt-var-watt control law and have their gain (slope) coefficients updated regularly by a global optimization problem at a slower time-scale. Design of optimal coefficients preserve overall system stability and encapsulate inverter and energy limits of controllable DERs. The proposed approach is formulated based on a linear network model (LinDistFlow) and suitable approximations to produce a convex multi-period optimization formulation. Numerical simulations with real-world customer data and two different distribution feeders revealed that our approach provides substantial voltage regulation, while reducing losses by 11 per cent and peak substation power by 26 per cent compared to other state-of-the-art algorithms.
Paper Structure (12 sections, 29 equations, 7 figures, 3 tables, 1 algorithm)

This paper contains 12 sections, 29 equations, 7 figures, 3 tables, 1 algorithm.

Table of Contents

  1. Introduction
  2. Preliminaries
  3. Proportional Feedback Control
  4. System-wide equations: network with feedback control
  5. Problem Formulation
  6. Multi-Period Optimization
  7. Receding-Horizon Optimization
  8. Benchmark Approaches
  9. Numerical Simulations
  10. Dynamic performance
  11. Steady-state numerical results
  12. Conclusion

Figures (7)

  • Figure 1: Distribution network represented by a connected graph.
  • Figure 2: Distribution network notation, with arrows indicating direction of positive power flow. Battery energy storage represents the controllable resource.
  • Figure 3: RHO with variable steady-state time lengths.
  • Figure 4: Dynamic voltage behaviour at node 7 for a voltage rise case.
  • Figure 5: Spectral radius and different norms of $(\boldsymbol{GH})$ for the proposed OPF-PC approach over a day.
  • ...and 2 more figures