Optimal Placement of A Heat Pump in An Integrated Power and Heat Energy System

Sergey Klyapovskiy; Shi You; Henrik W. Bindner; Hanmin Cai

doi:10.1109/GreenTech.2017.42

Optimal Placement of A Heat Pump in An Integrated Power and Heat Energy System

Sergey Klyapovskiy, Shi You, Henrik W. Bindner, Hanmin Cai

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

With the present trend towards Smart Grids and Smart Energy Systems it is important to look for the opportunities for integrated development between different energy sectors, such as electricity, heating, gas and transportation. This paper investigates the problem of optimal
placement of a heat pump – a component that links electric and heating utilities together. The system used to demonstrate the integrated planning approach has two neighboring 10kV feeders and several distribution substations with loads that require central heating from the heat pump. The optimal location is found with the help of mathematical optimization that minimizes investments of both electric and heating
utilities, achieving the reduction of the total investment. The optimization is performed in Matlab using built-in Genetic Algorithm function and Matpower software package for calculating power flow equations.

Original language	English
Title of host publication	Proceedings of 2017 Ninth Annual IEEE Green Technologies Conference
Publisher	IEEE
Publication date	2017
Pages	246-253
DOIs	https://doi.org/10.1109/GreenTech.2017.42
Publication status	Published - 2017
Event	2017 Ninth Annual IEEE Green Technologies Conference - Denver, United States Duration: 29 Mar 2017 → 31 Mar 2017 Conference number: 9 https://ieeexplore.ieee.org/xpl/conhome/7922462/proceeding

Conference

Conference	2017 Ninth Annual IEEE Green Technologies Conference
Number	9
Country/Territory	United States
City	Denver
Period	29/03/2017 → 31/03/2017
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7922462/proceeding

Keywords

Heat pump
District heating
Optimal location
Optimization
Flexibility
MATPOWER
Genetic algorithm

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/GreenTech.2017.42

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title = "Optimal Placement of A Heat Pump in An Integrated Power and Heat Energy System",

abstract = "With the present trend towards Smart Grids and Smart Energy Systems it is important to look for the opportunities for integrated development between different energy sectors, such as electricity, heating, gas and transportation. This paper investigates the problem of optimalplacement of a heat pump – a component that links electric and heating utilities together. The system used to demonstrate the integrated planning approach has two neighboring 10kV feeders and several distribution substations with loads that require central heating from the heat pump. The optimal location is found with the help of mathematical optimization that minimizes investments of both electric and heatingutilities, achieving the reduction of the total investment. The optimization is performed in Matlab using built-in Genetic Algorithm function and Matpower software package for calculating power flow equations.",

keywords = "Heat pump, District heating, Optimal location, Optimization, Flexibility, MATPOWER, Genetic algorithm",

author = "Sergey Klyapovskiy and Shi You and Bindner, {Henrik W.} and Hanmin Cai",

year = "2017",

doi = "10.1109/GreenTech.2017.42",

language = "English",

pages = "246--253",

booktitle = "Proceedings of 2017 Ninth Annual IEEE Green Technologies Conference",

publisher = "IEEE",

address = "United States",

note = "2017 Ninth Annual IEEE Green Technologies Conference, GreenTech 2017 ; Conference date: 29-03-2017 Through 31-03-2017",

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AU - Cai, Hanmin

N1 - Conference code: 9

PY - 2017

Y1 - 2017

N2 - With the present trend towards Smart Grids and Smart Energy Systems it is important to look for the opportunities for integrated development between different energy sectors, such as electricity, heating, gas and transportation. This paper investigates the problem of optimalplacement of a heat pump – a component that links electric and heating utilities together. The system used to demonstrate the integrated planning approach has two neighboring 10kV feeders and several distribution substations with loads that require central heating from the heat pump. The optimal location is found with the help of mathematical optimization that minimizes investments of both electric and heatingutilities, achieving the reduction of the total investment. The optimization is performed in Matlab using built-in Genetic Algorithm function and Matpower software package for calculating power flow equations.

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KW - Heat pump

KW - District heating

KW - Optimal location

KW - Optimization

KW - Flexibility

KW - MATPOWER

KW - Genetic algorithm

U2 - 10.1109/GreenTech.2017.42

DO - 10.1109/GreenTech.2017.42

M3 - Article in proceedings

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EP - 253

BT - Proceedings of 2017 Ninth Annual IEEE Green Technologies Conference

PB - IEEE

T2 - 2017 Ninth Annual IEEE Green Technologies Conference

Y2 - 29 March 2017 through 31 March 2017

ER -

Optimal Placement of A Heat Pump in An Integrated Power and Heat Energy System

Abstract

Conference

Keywords

UN SDGs

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