The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Effect of Load Models in Distributed Generation Planning
Abstract
The effect of load models on distributed generation (DG) planning in distribution system is investigated in this work. It is shown that load models can significantly affect the DG planning. Normally a constant power (real and reactive) load model is assumed in most of the studies. Such assumptions may lead to inconsistent and misleading results about deferral values, loss reduction, payback period, and other subsequent calculations. It has been demonstrated that DG planning based on such assumptions would not be effective after implementation. It is shown that load models can significantly affect the optimal location and sizing of DG resources in distribution systems. A comparative study of real and reactive power loss, real and reactive power intake at the main substation and MVA support provided by installing DG resources for different type of loads models has been performed.
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
Cites
Network reconfiguration in distribution systems for loss reduction and load balancing
Baran, M. E., & Wu, F. F. (1989) · IEEE Transactions on Power Delivery · doi:10.1109/61.25627 · Cited by 5,077
Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing
Baran, M. E., & Wu, F. F. (1989) · IEEE Power Engineering Review · doi:10.1109/mper.1989.4310642 · Cited by 3,350
Analytical Approaches for Optimal Placement of Distributed Generation Sources in Power Systems
Wang, C., & Nehrir, M. H. (2004) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2004.836189 · Cited by 1,109
Load representation for dynamic performance analysis (of power systems)
Price, W. W., Chiang, H., Clark, H. K., Concordia, C., Lee, D. C., Hsu, J. C., Ihara, S., King, C., Lin, C., Mansour, Y., et al. (1993) · IEEE Transactions on Power Systems · doi:10.1109/59.260837 · Cited by 938
An Approach to Quantify the Technical Benefits of Distributed Generation
Chiradeja, P., & Ramakumar, R. (2004) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2004.827704 · Cited by 715
Standard load models for power flow and dynamic performance simulation
(1995) · IEEE Transactions on Power Systems · doi:10.1109/59.466523 · Cited by 635
Load representation for dynamic performance analysis
Price, W. W., Chiang, H., Clark, H. K., Concordia, C., Lee, D. C., Hsu, J. C., Ihara, S., King, C., Lin, C., Mansour, Y., et al. (1993) · IEEE Transactions on Power Systems · Cited by 536
An Integrated Distributed Generation Optimization Model for Distribution System Planning
El‐Khattam, W., Hegazy, Y. G., & Salama, M. M. A. (2005) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2005.846114 · Cited by 526
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
Load Representation in Power System Stability Studies
Concordia, C., & Ihara, S. (1982) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1982.317163 · Cited by 326
Cited by
Modeling of Load Demand Due to EV Battery Charging in Distribution Systems
Qian, K., Zhou, C., Allan, M., & Yuan, Y. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2057456 · Cited by 1,268
Mehta, R., Srinivasan, D., Khambadkone, A. M., Yang, J., & Trivedi, A. (2018) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2550559 · Cited by 266
Metadata
- Authors
- Singh, D., Misra, R. K., & Singh, D.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2007-11
- Volume
- 22
- Issue
- 4
- Pages
- 2204-2212
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2162273104
- Cited by
- 434
- References
- 12
- FWCI
- 4.72
- 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: Effect of Load Models in Distributed Generation Planning. https://app.cochat.ai/papers/10.1109/tpwrs.2007.907582
- The paper
- Singh, D., Misra, R. K., & Singh, D. (2007). Effect of Load Models in Distributed Generation Planning. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2007.907582
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.
