Use Cases of Managing Grid

Constraints with Active Management

Systems

Chad Abbey

CEATI SGTF Meeting

October 2015

Contents

• Problem Description

• Changing Regulations and Technology Trends

• Active Network Management

• Use Cases

• North American Experiences

• Discussion

A (not so) Long Time Ago…

• Traditional planning rules that define the “hosting capacity” of a network under N-1 criteria

• Challenge– Can a new control approach

increase the amount of DG a system can accommodate

– What planning tools are required to support this new way of doing things?

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New York State – Reforming the Energy Vision

• Comprehensive strategy to develop a cleaner and more reliable, resilient and affordable energy system for all New Yorkers

• Intended Policy outcomes:– Customer knowledge, Market animation, System-wide efficiency,

Fuels and resource diversity, System reliability and resiliency, and Carbon reduction.

• REV Demonstration projects– Funding to demonstrate technology that further the vision

• NY Prize– 40 M$ competition to help communities create microgrids

California

• Largest PV Solar industry in NA

– 9,977 MW of solar installed (4,316 MW in 2014)

– 2,182 solar companies

• Energy Storage Program

– PUC has mandated 1.3 GW by 2020

– 100 MW battery system in West LA

• Auto-DR

– Platform and program for automation of DR at commercial facilities

• Distribution Resource Plans (DRP)

Ontario

• Leading Integration of Renewables and Smart Grid

Technologies in Canada

• OPA/IESO program

– Incentivized integration of energy storage for provision of

ancillary services

• OEB guidelines

– Recovery of costs through rates for demand response and

energy storage projects if their primary role is to defer CAPEX

Technology Alphabet Soup

• Distribution Management Systems (DMS)

• Distributed Energy Resource Management Systems (DERMS)

• Demand Response Management Systems (DRMS)

• Microgrids

• Internet of Things (IoT)

• Systems of systems

• Fog Computing

Active Network Management

Active Network Management

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Real-Time DataManager (RTDM)

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DNP3

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DNP3

REST

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Generator outside

control of DERMS

DERMS enabled

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Real-Time Control

DERMS User Interface

Technology

ANM Platform Software Components

Application container to host autonomous ANM applications sharing a real time data manager

with sgs comms hub. Typically runs on commodity servers with hot failover redundancy (one as

Main and the other as Standby).

A modular, easy to integrate communications hub performing all data handling and processing

for sgs core via a range of standard industry protocols. Typically runs on commodity servers

(one as Main and the other as Standby)

A distributed software component located at each controlled device providing an interface to and

control of the grid edge device. Implements autonomous fail to safe mechanisms in the event of

non-compliance, loss of communications or abnormal operation.

ANM Software Applications using the Platform

Our ANM products use a combination of the ANM platform and software applications to deliver

specific functionality.

Integrated DERMS Platform

• Active network management:

automation layer that handles real-

time control of DER

• Analysis and Optimal

Scheduling: non-real time functions

that empower the operator and

enable a more holistic view of

operations

ANM Use Cases

Use Case 1 – Thermal Constraint Management

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IEC 61850

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What-if Analysis

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GIS

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DERMS User Interface

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control of DERMS

DERMS enabled

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Real-Time Control

Analysis and Scheduling

Orkney

Challenge

SSEPD seeking cost effective alternative to grid upgrades to

provide connections for renewable generators: network already at

‘full capacity’. Technical challenge is multiple thermal overloads

on various overhead and subsea cables.

Solution

Non-firm actively managed grid connections for distributed

generation using ANM 100 with an energy storage control

module.

Delivered Benefits

Operational since November 2009

Connected 24 MW of new renewable generation capacity to

33 kV grid previously considered to be full

103% of electricity demand met by renewables in 2013

Estimated saving of at least £30million

The Orkney Isles are located off the

north cost of Scotland and

interconnected to the main UK

transmission system.

Orkney Isles Background Information

• 70 islands with 20 inhabited

• ~1000 sq km and 21,000 inhabitants

• Winter peak demand of 31 MW

• Summer peak demand of 6 MW

• Installed background generation of 46 MW

• Annual average temperature 80C

• Industry mainly agricultural, fishing and tourism

NREL INTEGRATe Project

• Integrate Smart Campus as part of IEEE 13 bus system

• Modified IEEE 13 bus system to include connection of secondary network

• 3 DER embedded within secondary network and other simulated DER

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Non-Wires Solutions

• Consolidated Edison– Brooklyn Queens

Demand Response (BQDM)

– Plymouth Street

• PowerStream– DER options as

alternatives to capacity

– Ownership models

• Low Carbon London– Proof of concept

Use Case 2 – Voltage Constraint Management

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DERMS enabled

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Real-Time Control

DERMS User Interface

• IUSA and SGS

partnering for NY “REV”

demo project

• Dynamic interconnect

option for large DG

using ANM platform

• Faster & cheaper than

traditional reinforcement

Targeted and value

driven smart grid

investments

Enables smart grid

“infrastructure as a

service” IUSA revenue

• Alternative grid reinforcement

• Offers viable interconnect solution for otherwise uneconomic DG interconnection

• Extendable and scalable platform

Efficiently use existing distribution assets

Supports data driven distribution planning

Supports future “DER markets” IUSA revenue Valuing curtailed energy

DER-to-DER market

Use Case 3 – DER Aggregation and Scheduling

• Optimal Scheduling based on a holistic view

• Distribution Marginal Prices

• Operator has what-if analysis tool

• Automation layer ensures assets are secure

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What-if Analysis

DER/Load Forecasting

DER Scheduling

Pagg(πk)Qagg(πk)

Aggregated

Generator

πk – economic signal generated within DER Scheduling

DERMS User Interface

MDMS

GIS

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Ente

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SB)

PV Aggregator Headend

ESS Aggregator Headend

SCADA/ADMS

Weather Forecasts

Real-Time Control

Analysis and Scheduling

Discussion Questions

• Do you envisage integrating a DERMS system in the near-future?

• If not, how do you plan on integrating DER?

• What are some of the characteristics of the ideal operational tool that would help you integrate DER?

• Do you anticipate distribution operations (or even microgrids) integrating with the ISO?

• What challenges do you have in terms of distribution system planning?

Thoughts to leave you with…

• Regulatory model where revenues is dictated by performance and not by how much capacity you build

• Is integrating DER equivalent to 200% of peak load possible?

• Other Critical National Infrastructure demand the best in real-time control technologies, why should power systems be different?

• Think of DERMS as a number of layers. The automation layer—ANM—is the foundation

• Planners and operators need to be able to model the behaviour of these systems.