Decentralized Demand Side Management Optimization for Residential and Commercial Load. Alwan, H. O., Sadeghian, H., & Wang, Z. In 2018 IEEE International Conference on Electro/Information Technology (EIT), pages 0712–0717, May, 2018. ISSN: 2154-0373doi abstract bibtex In smart grid, the demand side management techniques need to be designed to process a large number of controllable loads of several types, this results in increased sustainability of the grid, as well as reduced the operational cost. In this paper, we proposed a framework to study decentralized demand side management in a distributed network which contains a variety of loads of two demand types; residential load and commercial load. Specifically, each of residential load and commercial load has local renewable generation such as rooftop PV and flexible appliances and by making an optimum individual scheduling will reduce the electricity bill with a manageable sacrifice of customers convenience and comfort according time-of-using (TOU) prices. In our simulation model commercial load bus on bus seventeenth, with twenty-nine households employed to demonstrate the performance of the proposed DSM for large number of appliances. Using the developed simulation model we examine the performance of decentralized DSM and study their impact on the distribution network operation and renewable generation, overall voltage deviation, real power loss, and possible problems such as reverse power flows, voltage rise have examined and compared.
@inproceedings{alwan_decentralized_2018,
title = {Decentralized {Demand} {Side} {Management} {Optimization} for {Residential} and {Commercial} {Load}},
doi = {10.1109/EIT.2018.8500213},
abstract = {In smart grid, the demand side management techniques need to be designed to process a large number of controllable loads of several types, this results in increased sustainability of the grid, as well as reduced the operational cost. In this paper, we proposed a framework to study decentralized demand side management in a distributed network which contains a variety of loads of two demand types; residential load and commercial load. Specifically, each of residential load and commercial load has local renewable generation such as rooftop PV and flexible appliances and by making an optimum individual scheduling will reduce the electricity bill with a manageable sacrifice of customers convenience and comfort according time-of-using (TOU) prices. In our simulation model commercial load bus on bus seventeenth, with twenty-nine households employed to demonstrate the performance of the proposed DSM for large number of appliances. Using the developed simulation model we examine the performance of decentralized DSM and study their impact on the distribution network operation and renewable generation, overall voltage deviation, real power loss, and possible problems such as reverse power flows, voltage rise have examined and compared.},
booktitle = {2018 {IEEE} {International} {Conference} on {Electro}/{Information} {Technology} ({EIT})},
author = {Alwan, H. O. and Sadeghian, H. and Wang, Z.},
month = may,
year = {2018},
note = {ISSN: 2154-0373},
keywords = {Demand Side Management, Distribution Generation, Energy Utilization, Home appliances, Indexes, Job shop scheduling, Load flow, Load modeling, Optimization, Optimization algorithm, Rooftop Photovoltaic, Smart grids, TOU prices, controllable loads, decentralized DSM, decentralized demand side management optimization, demand side management, demand side management techniques, demand types, distributed network, distribution networks, domestic appliances, flexible appliances, load flow, local renewable generation, manageable sacrifice, optimisation, pricing, renewable energy sources, residential load, rooftop PV, scheduling, simulation model commercial load bus, smart grid, smart power grids, time-of-using prices},
pages = {0712--0717},
}
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