Abstract

This paper presents a novel hierarchical framework for real-time, network-admissible coordination of responsive grid resources aggregated into virtual batteries (VBs). In this context, a VB represents a local aggregation of directly controlled loads, such as smart inverters, electric water heaters, and air-conditioners. The coordination is achieved by solving an optimization problem to disaggregate a feeder's desired reference trajectory into constraint-aware set-points for the VBs. Specifically, a novel, provably-tight, convex relaxation of the AC optimal power flow (OPF) problem is presented to optimally dispatch the VBs to track the feeder's desired power trajectory. In additionto the optimal VB dispatch scheme, a real-time, corrective control scheme is designed, whichis based on optimal proportional-integral (PI) control with anti-windup, to reject intra-feeder and inter-feeder disturbances that arise during operation of the power system. Simulation results conducted on a modified IEEE test system demonstrate the effectiveness of the proposed multi-layer VB coordination framework.

Highlights

  • 2) A novel second-order conic AC optimal power flow (OPF) formulation of a multi-period optimization of virtual batteries (VBs) designed for tracking the desired power reference at the head-node of the feeder. In this formulation, the feeder structure is taken into account and the second-order cone relaxation is proven to be exact even under significant reverse power flow and with a non-monotonic cost function, which is an improvement over the present state-of-science in radial network OPF presented in [29]

  • It is reasonable to assume that the distribution system operator (DSO) has access to SCADA data and is aware of the grid topology and receives VB state of charge (SoC) estimates from the VB-distributed energy resources (DERs) interface to run the AC OPF

  • Analysis and simulation results have been presented in support of a novel framework for large-scale coordination of DERs to support deep penetration of renewable energy

Read more

Summary

Background and Motivation

C OORDINATED control of demand-side, distributed energy resources (DERs), such as grid-tied PV inverters, distributed battery storage, and thermostatically controlled loads (TCLs; e.g., water heaters and air conditioners) is part of the solution that supports a renewable energy future [1]–[4]. The real-time controller borrows concepts from wide-area control (WAC) [22], including (local) droop [23] and (regional) automatic generation control, and adapts them to dynamically managing VB power in distribution feeders This results in a VB coordination scheme that enables a feeder head-node to optimally track a power reference while correcting, in real-time, for unexpected small (local, intra-feeder) and large (regional, inter-feeder) disturbances. The convex OPF formulation is proven tight at optimality, which guarantees that the prediction of future physical operating states of the grid and the VBs are accurate This is achieved by decomposing the feeder head-node (i.e., substation) economic reference into the aggregate VB dispatch, net-demand, and approximated total feeder line losses. The only measurement necessary for this purpose is the head-node power from the feeders

Original Contributions
Practical Implementation and Data Management
Mathematical Notation
Virtual Battery Model
Conventional Convex Formulation
Reformulated Convex Formulation
Optimal VB Dispatch and Head Node Tracking Simulation
Overview of Intra-Feeder Control of Virtual Batteries
Overview of Inter-Feeder Control
Order and Frequency of Selection of Gains
Effect of Intra-Feeder Controller Gains and Delays on Stability
SIMULATION RESULTS
Intra-Feeder Disturbance Rejection Scenario
Inter-Feeder Disturbance Rejection
Integration With Multiple Runs of OPF
CONCLUSIONS AND FUTURE WORK
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.