Evaluating and Increasing the Renewable Energy Share of Customers’ Electricity Consumption
Demand response (DR) is a critical enabler for promoting the integration of significant renewable energy sources (RES) into power systems. However, the contribution of each customer to the amount of integrated RES in the entire system cannot be quantified based on current studies, which hinders the...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8827449/ |
id |
doaj-0fe63a1e431d44549923bcc2dd53041a |
---|---|
record_format |
Article |
spelling |
doaj-0fe63a1e431d44549923bcc2dd53041a2021-03-29T23:34:04ZengIEEEIEEE Access2169-35362019-01-01712920012921410.1109/ACCESS.2019.29401498827449Evaluating and Increasing the Renewable Energy Share of Customers’ Electricity ConsumptionShuai Fan0https://orcid.org/0000-0002-7120-3556Zhengshuo Li1https://orcid.org/0000-0003-0359-9349Zuyi Li2Guangyu He3Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaGalvin Center for Electricity Innovation, Illinois Institute of Technology, Chicago, IL, USAKey Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai, ChinaDemand response (DR) is a critical enabler for promoting the integration of significant renewable energy sources (RES) into power systems. However, the contribution of each customer to the amount of integrated RES in the entire system cannot be quantified based on current studies, which hinders the deployment and promotion of DR programs. To address this problem, an index to quantitatively evaluate the marginal impact on the amount of integrated RES in the whole system caused by a customer (MIR) was proposed in this paper. The MIR proved to be reasonable for the evaluation of the renewable energy share of a customer's electricity consumption (RSC). We subsequently proposed an RSC-based DR scheme, in which customers are motivated to individually reshape their load profiles to obtain a higher RSC, which accordingly facilitates integrating RES in the whole system. Optimal load reshaping strategies were derived from a bilevel optimization model, which was converted into a mathematical program with primal and dual constraints (MPPDC). The test system was generated based on the load data from Open Energy Information and RES data from the PJM. We corroborated the RSC evaluation result analytically and numerically. Further tests on the RSC-based DR scheme showed it could help facilitate integrating considerably more RES into the power system.https://ieeexplore.ieee.org/document/8827449/Demand responserenewable energy sourcesmarginal impactMPDDC |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shuai Fan Zhengshuo Li Zuyi Li Guangyu He |
spellingShingle |
Shuai Fan Zhengshuo Li Zuyi Li Guangyu He Evaluating and Increasing the Renewable Energy Share of Customers’ Electricity Consumption IEEE Access Demand response renewable energy sources marginal impact MPDDC |
author_facet |
Shuai Fan Zhengshuo Li Zuyi Li Guangyu He |
author_sort |
Shuai Fan |
title |
Evaluating and Increasing the Renewable Energy Share of Customers’ Electricity Consumption |
title_short |
Evaluating and Increasing the Renewable Energy Share of Customers’ Electricity Consumption |
title_full |
Evaluating and Increasing the Renewable Energy Share of Customers’ Electricity Consumption |
title_fullStr |
Evaluating and Increasing the Renewable Energy Share of Customers’ Electricity Consumption |
title_full_unstemmed |
Evaluating and Increasing the Renewable Energy Share of Customers’ Electricity Consumption |
title_sort |
evaluating and increasing the renewable energy share of customers’ electricity consumption |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
Demand response (DR) is a critical enabler for promoting the integration of significant renewable energy sources (RES) into power systems. However, the contribution of each customer to the amount of integrated RES in the entire system cannot be quantified based on current studies, which hinders the deployment and promotion of DR programs. To address this problem, an index to quantitatively evaluate the marginal impact on the amount of integrated RES in the whole system caused by a customer (MIR) was proposed in this paper. The MIR proved to be reasonable for the evaluation of the renewable energy share of a customer's electricity consumption (RSC). We subsequently proposed an RSC-based DR scheme, in which customers are motivated to individually reshape their load profiles to obtain a higher RSC, which accordingly facilitates integrating RES in the whole system. Optimal load reshaping strategies were derived from a bilevel optimization model, which was converted into a mathematical program with primal and dual constraints (MPPDC). The test system was generated based on the load data from Open Energy Information and RES data from the PJM. We corroborated the RSC evaluation result analytically and numerically. Further tests on the RSC-based DR scheme showed it could help facilitate integrating considerably more RES into the power system. |
topic |
Demand response renewable energy sources marginal impact MPDDC |
url |
https://ieeexplore.ieee.org/document/8827449/ |
work_keys_str_mv |
AT shuaifan evaluatingandincreasingtherenewableenergyshareofcustomersx2019electricityconsumption AT zhengshuoli evaluatingandincreasingtherenewableenergyshareofcustomersx2019electricityconsumption AT zuyili evaluatingandincreasingtherenewableenergyshareofcustomersx2019electricityconsumption AT guangyuhe evaluatingandincreasingtherenewableenergyshareofcustomersx2019electricityconsumption |
_version_ |
1724189164089376768 |