{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/78604"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/78604","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"A Model for Demand Side Management Using Locational Salary Data","abstract":"M.S.","abstract_html":"M.S.","abstract_has_math":false,"creators":["Raju, Monisha"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Oh, HyungSeon","Electrical Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-10-26T02:56:28Z","date_published":"2018-10-26T02:56:28Z","updated_at":"2026-07-27T19:05:12Z","subjects":["electrical engineering","energy"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/78604","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Oh, HyungSeon","Electrical Engineering"]},{"key":"dc:creator","label":"Author","values":["Raju, Monisha"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-10-26T02:56:28Z","2018","2018-08-09 22:54:14"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["electrical engineering","energy"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/78604"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["M.S.","Congestion in electrical transmission lines causes the use of higher cost generators and creates a surge in the Locational Marginal Prices (LMP) . A cost-effective way to relieve the impact of congestion is to control demand for electricity. This project proposes a demand-side management model derived from readily available locational salary data on the internet. The income statistics are converted into willingness-to-pay curves. This willingness to pay curve is divided into blocks of power that are bid at different prices based on the curve. These bids and offers are converted into generator and cost inputs to the DC Optimal Power Flow (OPF) problem. Due to high demand in certain areas over others, some lines might be congested. This congestion pattern can be modified by manipulating the loads. A comparison is shown between solutions ofthe OPF problem with and without demand side management. The proposed model is tested on IEEE 3-bus and 30-bus systems. Contour plots are reported to visually illustrate the change in system cost as a function of change in loads. The loads that present the highest decrease in system cost is picked as adjustable loads for future use."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A Model for Demand Side Management Using Locational Salary Data"]}]}],"canonical_facts":{"dc:contributor":["Oh, HyungSeon","Electrical Engineering"],"dc:creator":["Raju, Monisha"],"dc:date":["2018-10-26T02:56:28Z","2018","2018-08-09 22:54:14"],"dc:description":["M.S.","Congestion in electrical transmission lines causes the use of higher cost generators and creates a surge in the Locational Marginal Prices (LMP) . A cost-effective way to relieve the impact of congestion is to control demand for electricity. This project proposes a demand-side management model derived from readily available locational salary data on the internet. The income statistics are converted into willingness-to-pay curves. This willingness to pay curve is divided into blocks of power that are bid at different prices based on the curve. These bids and offers are converted into generator and cost inputs to the DC Optimal Power Flow (OPF) problem. Due to high demand in certain areas over others, some lines might be congested. This congestion pattern can be modified by manipulating the loads. A comparison is shown between solutions ofthe OPF problem with and without demand side management. The proposed model is tested on IEEE 3-bus and 30-bus systems. Contour plots are reported to visually illustrate the change in system cost as a function of change in loads. The loads that present the highest decrease in system cost is picked as adjustable loads for future use."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/78604"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["electrical engineering","energy"],"dc:title":["A Model for Demand Side Management Using Locational Salary Data"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T19:05:12Z"}