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[IEEE 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Rome, Italy (2019.6.17-2019.6.20)] 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Sector Metalens for Sharp Focusing of Laser Light
摘要： The use of distributed generation and demand-response (DR) programs is needed for improving business models, namely concerning the remuneration of these resources in the context of smart grids. In this paper, a methodology is proposed in which a virtual power player aggregates several small-sized resources, including consumers participating in DR programs. The global operation costs resulting from the resource scheduling are minimized. After scheduling the resources in several operation scenarios, clustering tools are applied in order to obtain distinct resources’ groups. The remuneration structure that better fits the aggregator goals is then determined. Two clustering algorithms are compared: 1) hierarchical; and 2) fuzzy c-means clustering. The remuneration of small resources and consumers that are aggregated is made considering the maximum tariff in each group. The implemented case study considers 2592 operation scenarios based on a real Portuguese distribution network with 548 distributed generators and 20 310 consumers.
关键词： demand response (DR) programs,Clustering,distributed generation (DG),smart grids
更新于2025-09-19 17:13:59
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Multi-Party Energy Management and Economics of Integrated Energy Microgrid with PV/T and CHP system
摘要： Focusing on electricity and thermal energy requirement of contemporary buildings, a joint operation of photovoltaic thermal (PV/T) based prosumers and a Microturbine based combined heat and power (CHP) system has been presented to analyse the economics of grid-connected microgrid (MG) system. Bidirectional flow of electricity and heat model is considered and is optimally managed using price-based demand response (DR) scheme. Thermal storage is exploited to ward off the substantial amount of heat wastages that enhance the system's reliability during any disruption of microturbine. The objective functions of both prosumer and microgrid operator (MGO) are formulated as a profit maximization problem where they interact with each other on the basis of DR activity. To establish this strategic decision-making process, the system is modelled as a Stackelberg Equilibrium (SE) game, where MGO acts as a leader while PV/T prosumers act as a follower. The interaction or contribution of two players in a game is a problem of non-linear optimization which is solved by Differential Evolution (DE) algorithm. In the end, in a case study, it has been proved that the results are quite lucrative for the proposed model.
关键词： photovoltaic thermal (PV/T),Differential Evolution (DE),demand response (DR),Stackelberg Equilibrium (SE),microgrid (MG),combined heat and power (CHP)
更新于2025-09-10 09:29:36