Efficient incentive-driven consumption curtailment mechanisms in Nega-Watt markets

Anastopoulou, Angeliki; Koutsopoulos, Iordanis; Stamoulis, George D.

doi:10.1109/smartgridcomm.2014.7007735

Cited by 9 publications

(8 citation statements)

References 9 publications

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“…These market-driven methods promise substantial benefits for the consumers (e.g. electricity bill savings), as well 1 Part of the material appeared in [1], in IEEE SmartGridComm 2014. as for the operators (e.g. lower wholesale prices), and they aid in better control of the system.…”

Section: A Concept and Motivationmentioning

confidence: 99%

Optimal Targeting and Contract Offering for Load Curtailment in Nega-Watt Markets

Anastopoulou

Koutsopoulos

Stamoulis

2017

IEEE Trans. Control Netw. Syst.

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This paper models and analyzes Nega-Watt markets. In the proposed setting a utility operator wants to curtail some amount of demanded load during peak hours in order to save energy generation costs. The problem for the operator is twofold: (i) select the consumers, and (ii) determine the amounts of load to be curtailed by each one of them. The major novelty in this setup stems from the arising uncertainty due to consumer nonengagement. Even if an a priori agreement is reached between the operator and a consumer about the load to be curtailed, the consumer may not succeed to curtail the load. The second element that makes our problem formulation different from other markets is the incentive design per se. We argue that the operator needs to employ a two-branch incentive, that is, provide consumers with a reward if they actually curtail the load and charge them a fine if they do not. We employ this dualmode incentive into various game-theoretic market mechanisms such as bilateral negotiation and different types of Stackelberg mechanisms that result in selecting the consumers and the amounts of load to curtail. We define equilibrium points for the mechanisms and compute the resulting contractual agreements between the operator and each selected consumer for load curtailment. Our results reveal interesting insights about the impact of the competition arising among consumers and the consumer-operator interaction on the expected benefits for the operator and the consumers. 1

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Section: A Concept and Motivationmentioning

confidence: 99%

Optimal Targeting and Contract Offering for Load Curtailment in Nega-Watt Markets

Anastopoulou

Koutsopoulos

Stamoulis

2017

IEEE Trans. Control Netw. Syst.

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“…One possible application is in the Nega-Watt market where utility operators aim to curtail a portion of the system demand during certain time periods [26]. For example, during a critical peak event, the critically high demand may cause a system shutdown and a blackout if not well accounted for by curtailing load from selected consumers.…”

Section: Demand Side Management Applicationmentioning

confidence: 99%

Electric Load Pattern Classification for Demand-side Management Planning: A Hybrid Approach

Abdulaal

Buitrago

Asfour³

2015

Software Engineering and Applications/ 831: Advances in Power and Energy Systems

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Smart Grids require a clear understanding of consumer demand patterns. Classification of consumers according to their demand pattern is required for the effective planning of tariffs, eligibility for demand-side management (DSM) programs, energy production and transmission, as well as for security purposes. We propose a framework for classification of consumer load patterns using a hybrid system with a parameter estimation model, a clustering model and an artificial neural network (ANN). The proposed model provides an effective unbiased classification method. The process starts with generating a training data set from existing consumers without a priori classification. The raw load data is processed through a parameter estimation model and a clustering algorithm to generate a training data set with distinct impartial classification clusters. The training data is fed to an ANN for learning. Once the load patterns are learned, the model can be used to further classify new consumers into a demand pattern. The ANN provides fast and accurate clustering performance without underlying assumptions about shape or class. An analysis of the optimal number of clusters is presented. Results indicate that clusters with distinguishable characteristics are achieved and we demonstrate how regulators can make use of this method in demand curtailment planning.

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“…Those methods are utilized in designing proper incentives for interruptible load management. Studies [8][9][10][11] use Stackelberg game theory for modeling the interaction between the service provider and customers from the point of view of a grid operator. In Stackelberg game-theoretic modeling approaches, each party in the DR model has a distinct objective function.…”

Section: Introductionmentioning

confidence: 99%

Impact of renewable energy integration on a novel method for pricing incentive payments of incentive‐based demand response program

Duc

Thanh

Van

et al. 2022

IET Generation Trans & Dist

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With the desire to improve the efficiency and the reliability of the power system as well as the advancement of smart meter and communication networks, the demand response (DR) program has been facilitated to become a key component in the smart grid. Many current researches focus on incentives‐based DR research orientation. In addition, accurately quantifying the incentive payment is also a significant challenge because of the fact that the incentive payment is currently determined depending on knowledge, experience, and experimental results. This paper presents a method of pricing incentive payments for the incentive‐based DR program through social welfare maximization framework which ensures the benefits of all participants involved. Besides, this study also proposed the quantification of incentive payments by a theoretical approach based on the satisfaction level of electricity consumers which is approximated through a fuzzy logic model. Moreover, the impact of renewable energy sources on the pricing mechanism and benefits of all parties participating in the DR program is also discussed through the calculation cost for renewable energy integration and emission cost function. The results show the validity and feasibility of the method.

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Efficient incentive-driven consumption curtailment mechanisms in Nega-Watt markets

Cited by 9 publications

References 9 publications

Optimal Targeting and Contract Offering for Load Curtailment in Nega-Watt Markets

Optimal Targeting and Contract Offering for Load Curtailment in Nega-Watt Markets

Electric Load Pattern Classification for Demand-side Management Planning: A Hybrid Approach

Impact of renewable energy integration on a novel method for pricing incentive payments of incentive‐based demand response program

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