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...

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Main Authors: Shuai Fan, Zhengshuo Li, Zuyi Li, Guangyu He
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8827449/
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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/
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