scholarly journals Benefits of a Demand Response Exchange Participating in Existing Bulk-Power Markets

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3361 ◽  
Author(s):  
Venkat Durvasulu ◽  
Timothy Hansen
Keyword(s):  
Demand Response ◽  
Power Market ◽  
Electric Utility ◽  
Energy Markets ◽  
Power Markets ◽  
High Price ◽  
Test Case ◽  
Market Prices ◽  
Bulk Power

In most U.S. market sponsored demand response (DR) programs, revenue earned from energy markets has been relatively low compared to DR used for capacity markets and ancillary services. This paper presents an aggregated DR model participating in the bulk-power market as a service through a pool-based entity called demand response exchange (DRX). Using the DRX structure, DR providers can participate in energy markets as a service to benefit bulk-power market entities. The benefits and challenges to each market entity using DR-as-a-service are presented in an extended review. The DRX model in this study is a market entity that operates with the day-ahead market to select DR offers that minimize electric utility payments. A case study was performed using the proposed DRX model on the IEEE 24-bus system, augmented to represent actual bulk-power market prices to study factors that influence utility payments under the DRX-market paradigm. Two high-price days of the PJM market were simulated, and it was shown for a single day on the augmented test case that spending $69,955 for DR-as-a-service results in a reduction of utility payments of $864,199. The day-ahead generator supply curve, network congestion, and DR curtailment were found to be the most influencing factors that impact the benefit of using DR-as-a-service.

scholarly journals Volatility Indices Evaluation for Deregulated Electricity Markets

2019 ◽  
Vol 8 (10) ◽  
pp. 1604-1608
Keyword(s):  
Electricity Markets ◽  
Energy Markets ◽  
Power Markets ◽  
Energy Market ◽  
Critical Test ◽  
Market Prices ◽  
The Gift ◽  
Electricity Costs ◽  
Free Machine ◽  
Massive Information

The eccentric thought of intensity well worth makes, genuine deciding as a critical test for orchestrating and motion of an engaged energy markets. in the gift paintings a careful and a high feasible technique is proposed to bet the strength charges in Spanish electricity markets. Affectability assessment is proposed with a purpose to find the important thing commitments to a ton of records used for evaluating. the nature unusualness, adds more vulnerabilities and complexities to govern structure movement, and for this reason affecting the lead of age, transmission and solicitation side in electricity markets. Thusly, in spite of guaging, the capricious concept of the power markets is in like way surveyed. The unusualness information are made problem to chronicled precariousness and well worth pace thoughts which can be as of past due related to other energy market prices and used in the gift paintings. The result of the assessing version well-knownshows that screw up figuring out with the proposed technique is cheap whilst stood out from a few exceptional fashions proposed within the composition survey. The eventual outcomes of affectability exam well-knownshows that the fee earlier than an hour, 3 hours, 24 hours, 25 hours and 96 hours are the maximum massive information capabilities at the same time as guaging the electricity costs using recorded really worth regards as statistics instructive list. it's miles seen that fall and summer seasons are uncommonly erratic in nature than the spring and iciness seasons in Spanish power markets. The complete research paintings facilitates the free machine executives with developing notable operating of pressure structures movement and markets.

Impact of Load Profile on Dynamic Interactions Between Energy Markets: A Case Study of Power Exchange and Demand Response Exchange

2019 ◽  
Vol 15 (11) ◽  
pp. 5855-5866 ◽  
Author(s):  
Srikanth Reddy Konda ◽  
Ameena Saad Al-Sumaiti ◽  
Lokesh Kumar Panwar ◽  
Bijaya Ketan Panigrahi ◽  
Rajesh Kumar
Keyword(s):  
Demand Response ◽  
Energy Markets ◽  
Dynamic Interactions ◽  
Load Profile ◽  
Power Exchange

Demand Response and FERC Mandated Compensation Issues

2012 ◽  
Author(s):  
Donald Lincoln
Keyword(s):  
Energy Efficiency ◽  
Demand Response ◽  
Market Competition ◽  
Peak Load ◽  
Market Price ◽  
Energy Markets ◽  
Local Market ◽  
Wholesale Market ◽  
Market Prices ◽  
Demand Response Programs

This paper describes a Demand Response (DR) pilot event performed at Sandia National Laboratories in August of 2011. This paper includes a description of the planning for the demand response event, sources of energy reduction during the event, the potential financial benefit to Sandia National Laboratories from the event, event implementation issues, and the event results. In addition, this paper presents the implications of the Federal Energy Regulatory Commission (FERC) Order 745, Demand Response Compensation in Organized Wholesale Energy Markets, issued in March 2011. In this order FERC mandates that demand response suppliers must be compensated by the organized wholesale energy markets at the local market price for electricity during the hour the demand response is performed. Energy management in a commercial facility can be segregated into energy efficiency and demand response. Energy efficiency focuses on steady state load minimization. Demand response reduces load for event-driven periods during the peak load. Commercial facility demand response refers to voluntary actions by customers that change their consumption of electric power in response to price signals, incentives, or directions from grid operators at times of high wholesale market prices or when electric system reliability is jeopardized. Demand-response-driven changes in electricity use are designed to be short-term and centered on critical hours during the day when demand is high or when the electricity supplier’s reserve margins are low. Demand response events are typically scheduled between 12:00 p.m. and 7:00 p.m. on eight to 15 days during the hottest period of the year. Analysis has determined that automated demand response programs are more efficient and effective than manually controlled demand response programs due to persistence. FERC has stated that their Order 745 ensures organized wholesale energy market competition and removes barriers to the participation of demand response resources. In Order 745, FERC also directed that the demand response compensation costs be allocated among those customers who benefit from the lower prices for energy resulting from the demand response. FERC has allowed the organized wholesale energy markets to establish details for implementation methods for demand response compensation over the next four years following the final Order issue date. This compensation to suppliers of demand response can be significant since demand response is typically performed during those hours when the wholesale market prices are at their highest levels during the year.

scholarly journals Assessing the Value of Demand Response in Microgrids

2021 ◽  
Vol 13 (11) ◽  
pp. 5848
Author(s):  
Isaías Gomes ◽  
Rui Melicio ◽  
Victor M. F. Mendes
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Energy Storage ◽  
Case Studies ◽  
Demand Response ◽  
Storage Systems ◽  
Computer Application ◽  
Market Prices ◽  
Proper Formulation ◽  
Operation Case

This paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic participation of the aggregating agent of the microgrid bidding in an electricity day-ahead market. The aggregating agent must manage microturbines, wind systems, photovoltaic systems, energy storage systems, and loads, facing load uncertainty and further uncertainties due to the use of renewable sources of energy and participation in the day-ahead market. These uncertainties cannot be removed from the decision making, and, therefore, require proper formulation, and the proposed approach customizes a stochastic programming problem for this operation. Case studies show that under these uncertainties and the shifting of demand to convenient periods, there are opportunities to make decisions that lead to significant enhancements of the expected profit. These enhancements are due to better bidding in the day-ahead market and shifting energy consumption in periods of favorable market prices for exporting energy. Through the case studies it is concluded that the proposed approach is useful for the operation of a microgrid.

scholarly journals Systematic Stakeholder Inclusion in Digital Agriculture: A Framework and Application to Canada

2021 ◽  
Vol 13 (12) ◽  
pp. 6879
Author(s):  
Hassan P. Ebrahimi ◽  
R. Sandra Schillo ◽  
Kelly Bronson
Keyword(s):  
Agricultural Sector ◽  
Food System ◽  
News Article ◽  
Test Case ◽  
Stakeholder Groups ◽  
Research And Innovation ◽  
Article Analysis ◽  
Digital Agriculture ◽  
Responsible Research

This study provides a model that supports systematic stakeholder inclusion in agricultural technology. Building on the Responsible Research and Innovation (RRI) literature and attempting to add precision to the conversation around inclusion in technology design and governance, this study develops a framework for determining which stakeholder groups to engage in RRI processes. We developed the model using a specific industry case study: identifying the relevant stakeholders in the Canadian digital agriculture ecosystem. The study uses literature and news article analysis to map stakeholders in the Canadian digital agricultural sector as a test case for the model. The study proposes a systematic framework which categorises stakeholders into individuals, industrial and societal groups with both direct engagement and supportive roles in digital agriculture. These groups are then plotted against three levels of impact or power in the agri-food system: micro, meso and macro.

scholarly journals Research on Demand Response Aggregators Participating in Power Market Based on Bi-level Optimization

2021 ◽  
Vol 781 (4) ◽  
pp. 042009
Author(s):  
Weijie Shen ◽  
Cheng Fang ◽  
Jiaxin Ma ◽  
Jialin Lin ◽  
Ming Zeng
Keyword(s):  
Demand Response ◽  
Power Market ◽  
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