Study on Load-Participated Demand Response Model Based on Load Aggregator

In the reform of the electricity market, along with the gradual opening of the electricity sales side as well as the increase in the proportion of residential electricity consumption, the user load of the demand side has become an essential resource for demand response (DR). To efficiently utilize the residential load resources, new market participants, such as load aggregator (LA) have emerged. First, the basic concept of load aggregator is introduced in this paper, the origin and definition of LA is studied, and the classification of aggregated resources and the current situation of LA operation in some countries are presented. Then the article analyzes the market operation mode of LA and the uncertainty of LA in operation in detail, including the LA service on the user side, transaction mode and hierarchical structure associated with the operation, the uncertainty classification analysis, and associated strategies to address the problem. The LA load integration method and the scheduling control strategy are discussed. Finally, suggestions and ideas on the future research direction are proposed.

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Study on the Tier Tap Determining of Basic Residential Electricity Consumption Based on Demand Response

2012 Asia-Pacific Power and Energy Engineering Conference ◽

10.1109/appeec.2012.6307455 ◽

2012 ◽

Cited By ~ 4

Author(s):

Yuan Li ◽

Qin Luo ◽

Yi-qun Song ◽

Lei Cai ◽

Jun Gu

Keyword(s):

Demand Response ◽

Electricity Consumption ◽

On Demand ◽

Residential Electricity ◽

Residential Electricity Consumption

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On the Use of Causality Inference in Designing Tariffs to Implement More Effective Behavioral Demand Response Programs

Energies ◽

10.3390/en12142666 ◽

2019 ◽

Vol 12 (14) ◽

pp. 2666 ◽

Cited By ~ 1

Author(s):

Kamalanathan Ganesan ◽

João Tomé Saraiva ◽

Ricardo J. Bessa

Keyword(s):

Demand Response ◽

Response Rate ◽

Current Trend ◽

Electricity Consumption ◽

Residential Electricity ◽

Causality Inference ◽

Residential Electricity Consumption ◽

Demand Response Programs ◽

Residential Consumers

Providing a price tariff that matches the randomized behavior of residential consumers is one of the major barriers to demand response (DR) implementation. The current trend of DR products provided by aggregators or retailers are not consumer-specific, which poses additional barriers for the engagement of consumers in these programs. In order to address this issue, this paper describes a methodology based on causality inference between DR tariffs and observed residential electricity consumption to estimate consumers’ consumption elasticity. It determines the flexibility of each client under the considered DR program and identifies whether the tariffs offered by the DR program affect the consumers’ usual consumption or not. The aim of this approach is to aid aggregators and retailers to better tune DR offers to consumer needs and so to enlarge the response rate to their DR programs. We identify a set of critical clients who actively participate in DR events along with the most responsive and least responsive clients for the considered DR program. We find that the percentage of DR consumers who actively participate seem to be much less than expected by retailers, indicating that not all consumers’ elasticity is effectively utilized.

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