Co-Planning of Demand Response and Distributed Generators in an Active Distribution Network

The integration of renewables is fast-growing, in light of smart grid technology development. As a result, the uncertain nature of renewables and load demand poses significant technical challenges to distribution network (DN) daily operation. To alleviate such issues, price-sensitive demand response...

Full description

Bibliographic Details
Main Authors: Yi Yu, Xishan Wen, Jian Zhao, Zhao Xu, Jiayong Li
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/2/354
id doaj-4f24467fa2bc42cf933ec9e945b22740
record_format Article
spelling doaj-4f24467fa2bc42cf933ec9e945b227402020-11-25T00:41:20ZengMDPI AGEnergies1996-10732018-02-0111235410.3390/en11020354en11020354Co-Planning of Demand Response and Distributed Generators in an Active Distribution NetworkYi Yu0Xishan Wen1Jian Zhao2Zhao Xu3Jiayong Li4School of Electrical Engineering, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering, Wuhan University, Wuhan 430072, ChinaDepartment of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, ChinaDepartment of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, ChinaDepartment of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, ChinaThe integration of renewables is fast-growing, in light of smart grid technology development. As a result, the uncertain nature of renewables and load demand poses significant technical challenges to distribution network (DN) daily operation. To alleviate such issues, price-sensitive demand response and distributed generators can be coordinated to accommodate the renewable energy. However, the investment cost for demand response facilities, i.e., load control switch and advanced metering infrastructure, cannot be ignored, especially when the responsive demand is large. In this paper, an optimal coordinated investment for distributed generator and demand response facilities is proposed, based on a linearized, price-elastic demand response model. To hedge against the uncertainties of renewables and load demand, a two-stage robust investment scheme is proposed, where the investment decisions are optimized in the first stage, and the demand response participation with the coordination of distributed generators is adjusted in the second stage. Simulations on the modified IEEE 33-node and 123-node DN demonstrate the effectiveness of the proposed model.http://www.mdpi.com/1996-1073/11/2/354demand responsesolar energywind poweruncertaintiesdistributed generatoractive distribution network
collection DOAJ
language English
format Article
sources DOAJ
author Yi Yu
Xishan Wen
Jian Zhao
Zhao Xu
Jiayong Li
spellingShingle Yi Yu
Xishan Wen
Jian Zhao
Zhao Xu
Jiayong Li
Co-Planning of Demand Response and Distributed Generators in an Active Distribution Network
Energies
demand response
solar energy
wind power
uncertainties
distributed generator
active distribution network
author_facet Yi Yu
Xishan Wen
Jian Zhao
Zhao Xu
Jiayong Li
author_sort Yi Yu
title Co-Planning of Demand Response and Distributed Generators in an Active Distribution Network
title_short Co-Planning of Demand Response and Distributed Generators in an Active Distribution Network
title_full Co-Planning of Demand Response and Distributed Generators in an Active Distribution Network
title_fullStr Co-Planning of Demand Response and Distributed Generators in an Active Distribution Network
title_full_unstemmed Co-Planning of Demand Response and Distributed Generators in an Active Distribution Network
title_sort co-planning of demand response and distributed generators in an active distribution network
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2018-02-01
description The integration of renewables is fast-growing, in light of smart grid technology development. As a result, the uncertain nature of renewables and load demand poses significant technical challenges to distribution network (DN) daily operation. To alleviate such issues, price-sensitive demand response and distributed generators can be coordinated to accommodate the renewable energy. However, the investment cost for demand response facilities, i.e., load control switch and advanced metering infrastructure, cannot be ignored, especially when the responsive demand is large. In this paper, an optimal coordinated investment for distributed generator and demand response facilities is proposed, based on a linearized, price-elastic demand response model. To hedge against the uncertainties of renewables and load demand, a two-stage robust investment scheme is proposed, where the investment decisions are optimized in the first stage, and the demand response participation with the coordination of distributed generators is adjusted in the second stage. Simulations on the modified IEEE 33-node and 123-node DN demonstrate the effectiveness of the proposed model.
topic demand response
solar energy
wind power
uncertainties
distributed generator
active distribution network
url http://www.mdpi.com/1996-1073/11/2/354
work_keys_str_mv AT yiyu coplanningofdemandresponseanddistributedgeneratorsinanactivedistributionnetwork
AT xishanwen coplanningofdemandresponseanddistributedgeneratorsinanactivedistributionnetwork
AT jianzhao coplanningofdemandresponseanddistributedgeneratorsinanactivedistributionnetwork
AT zhaoxu coplanningofdemandresponseanddistributedgeneratorsinanactivedistributionnetwork
AT jiayongli coplanningofdemandresponseanddistributedgeneratorsinanactivedistributionnetwork
_version_ 1725285900572688384