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Systematic Categorization of Optimization Strategies for Virtual Power Plants
| Content Provider | MDPI |
|---|---|
| Author | Podder, Amit Islam, Sayemul Kumar, Nallapaneni Chand, Aneesh Rao, Pulivarthi Prasad, Kushal Logeswaran, T. Mamun, Kabir |
| Copyright Year | 2020 |
| Description | Due to the rapid growth in power consumption of domestic and industrial appliances, distributed energy generation units face difficulties in supplying power efficiently. The integration of distributed energy resources (DERs) and energy storage systems (ESSs) provides a solution to these problems using appropriate management schemes to achieve optimal operation. Furthermore, to lessen the uncertainties of distributed energy management systems, a decentralized energy management system named virtual power plant (VPP) plays a significant role. This paper presents a comprehensive review of 65 existing different VPP optimization models, techniques, and algorithms based on their system configuration, parameters, and control schemes. Moreover, the paper categorizes the discussed optimization techniques into seven different types, namely conventional technique, offering model, intelligent technique, price-based unit commitment (PBUC) model, optimal bidding, stochastic technique, and linear programming, to underline the commercial and technical efficacy of VPP at day-ahead scheduling at the electricity market. The uncertainties of market prices, load demand, and power distribution in the VPP system are mentioned and analyzed to maximize the system profits with minimum cost. The outcome of the systematic categorization is believed to be a base for future endeavors in the field of VPP development. |
| Starting Page | 6251 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en13236251 |
| Journal | Energies |
| Issue Number | 23 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-11-27 |
| Access Restriction | Open |
| Subject Keyword | Energies Industrial Engineering Virtual Power Plants Digital Electricity Optimization Strategies Distributed Energy Resources Renewable Energy Resources Energy Management Energy Scheduling Distributed Generation Real-time Energy Markets Electricity Market Demand Response Optimization in Virtual Power Plants Price-based Unit Commitment Model Intelligent Technique in Power Management Day-ahead Scheduling |
| Content Type | Text |
| Resource Type | Article |
