The DOI matches its Crossref record.
Planning for Distributed Generation
Abstract
Distributed generation (DG) can be incorporated into distribution planning as an option along with traditional feeder and substation options. In place of rigid capacity planning rules, the planning process needs to incorporate more detailed simulations of capacity constraints and customer damage costs because utilities now assume more risk. Planning tools need to simulate load variations, contingencies, dispatch and control action to more accurately determine the capacity limits and related costs. This is especially important when considering DG because the siting and dispatch have an important impact on the benefits to the utility. Equally important is the evaluation of economic risk given uncertainties such as load growth. Because of the added complexities associated with these analysis techniques, the planning process must incorporate appropriate screening tools to determine the depth of analysis needed for particular projects, thereby making more efficient use of already scarce planning resources.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Optimal Investment Planning for Distributed Generation in a Competitive Electricity Market
El-Khattam, W., Bhattacharya, K., Hegazy, Y., & Salama, M. M. A. (2004) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2004.831699 · Cited by 526
Integration Issues of Distributed Generation in Distribution Grids
Coster, E. J., Myrzik, J. M. A., Kruimer, B., & Kling, W. L. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2052776 · Cited by 422
Evaluating Distributed Generation Impacts With a Multiobjective Index
Ochoa, L. F., Padilha-Feltrin, A., & Harrison, G. P. (2006) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2005.860262 · Cited by 384
Multi-objective planning of distributed energy resources: A review of the state-of-the-art
Alarcon-Rodriguez, A., Ault, G., & Galloway, S. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2010.01.006 · Cited by 366
Amini, M. H., Moghaddam, M. P., & Karabasoglu, O. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2016.10.006 · Cited by 353
Metadata
- Authors
- Dugan, R. C., McDermott, T. E., & Ball, G. J.
- Venue
- IEEE Industry Applications Magazine
- Published
- 2001-03
- Volume
- 7
- Issue
- 2
- Pages
- 80-88
- ISSN
- 1077-2618 (ISSN-L)
- 1558-0598
- OpenAlex
- W2077925350
- Cited by
- 230
- References
- 0
- FWCI
- 4.60
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Planning for Distributed Generation. https://app.cochat.ai/papers/10.1109/2943.911193
- The paper
- Dugan, R. C., McDermott, T. E., & Ball, G. J. (2001). Planning for Distributed Generation. IEEE Industry Applications Magazine. https://doi.org/10.1109/2943.911193
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.