Name
Abstract | ||
|---|---|---|
Many demand response resources are technically capable of providing ancillary services. In some cases, they can provide superior response to generators, as the curtailment of load is typically much faster than ramping thermal and hydropower plants. Analysis and quantification of demand response resources providing ancillary services is necessary to understand the resources' economic value and impact on the power system. Methodologies used to study grid integration of variable generation can be adapted to the study of demand response. In the present work, we describe and implement a methodology to construct detailed temporal and spatial representations of demand response resources and to incorporate those resources into power system models. In addition, the paper outlines ways to evaluate barriers to implementation. We demonstrate how the combination of these three analyses can be used to assess economic value of the realizable potential of demand response for ancillary services. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TSG.2013.2258049 | Smart Grid, IEEE Transactions |
Keywords | Field | DocType |
AC generators,demand side management,power generation economics,ancillary services,demand response resources,detailed temporal representation,generators,hydropower plant,load curtailment,power system,power system model,resource economic value,spatial representation,thermal plant,variable generation grid integration,Aggregation,ancillary services,demand response,demand-side storage,electricity markets,institutional barriers,operating reserves,smart grid,system flexibility | Economics,Smart grid,Load balancing (electrical power),Microeconomics,Electric power system,Demand response,Risk analysis (engineering),Control engineering,Dynamic demand,Demand management,Demand load,Grid | Journal |
Volume | Issue | ISSN |
4 | 4 | 1949-3053 |
Citations | PageRank | References |
16 | 1.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ma, O. | 1 | 16 | 1.37 |
| Alkadi, N. | 2 | 16 | 1.37 |
| Cappers, P. | 3 | 16 | 1.37 |
| Denholm, P. | 4 | 16 | 1.37 |