Muhammad Ikram, Zakir Ullah, Muhammad Nasir, Salman Ahmed, S. N. K. Marwat
{"title":"A Novel Decentralized Coordination Control Scheme for the Complex Transactive Energy Prosumers","authors":"Muhammad Ikram, Zakir Ullah, Muhammad Nasir, Salman Ahmed, S. N. K. Marwat","doi":"10.1109/ICEPECC57281.2023.10209440","DOIUrl":null,"url":null,"abstract":"The significant penetration of renewable energy sources (RES) in the smart grid (SG) provides a new landscape for researchers to develop an optimal energy management model. The households with RES become prosumers to provide the surplus energy in the local community. The coordination and control of such RES prosumers are important to estimate the available energy in the system and the total demand required. In this paper, we proposed a decentralized coordination control approach for transactive energy systems (TES). The proposed TES is capable of coordinating and controlling a complex network of prosumers with limited control information. The consensusability and graph-theoretic schemes are used for prosumer RES nodes. In the proposed model, energy trading among large-scale prosumers has been demonstrated. The algorithm is capable to provide the total surplus energy available across the network and total demand in an autonomous fashion. The coordination control among prosumers is achieved through a computationally efficient approach without sharing the prosumer’s profile to preserve the security and privacy of the prosumers. To validate the proposed scheme, we perform extensive simulations on decentralized 450 prosumers. The resiliency of the proposed scheme is confirmed through dynamic and contingent communication topologies for energy trading ratios, cumulative returns, and convergence ratios. The cumulative returns improved from 0.447% to 24.8% while the energy trade among the prosumers recorded from -0.89 to 2.09. The final return is enhanced from −1.95% to 22.3% due to internal and external coordination control of nonlinear loads.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPECC57281.2023.10209440","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The significant penetration of renewable energy sources (RES) in the smart grid (SG) provides a new landscape for researchers to develop an optimal energy management model. The households with RES become prosumers to provide the surplus energy in the local community. The coordination and control of such RES prosumers are important to estimate the available energy in the system and the total demand required. In this paper, we proposed a decentralized coordination control approach for transactive energy systems (TES). The proposed TES is capable of coordinating and controlling a complex network of prosumers with limited control information. The consensusability and graph-theoretic schemes are used for prosumer RES nodes. In the proposed model, energy trading among large-scale prosumers has been demonstrated. The algorithm is capable to provide the total surplus energy available across the network and total demand in an autonomous fashion. The coordination control among prosumers is achieved through a computationally efficient approach without sharing the prosumer’s profile to preserve the security and privacy of the prosumers. To validate the proposed scheme, we perform extensive simulations on decentralized 450 prosumers. The resiliency of the proposed scheme is confirmed through dynamic and contingent communication topologies for energy trading ratios, cumulative returns, and convergence ratios. The cumulative returns improved from 0.447% to 24.8% while the energy trade among the prosumers recorded from -0.89 to 2.09. The final return is enhanced from −1.95% to 22.3% due to internal and external coordination control of nonlinear loads.