| Authors | Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, Somayeh Asadi |
|---|---|
| Conference Title | World Energy Strategies Congress and Exhibition 2019 (WESCE’19) |
| Holding Date of Conference | 2019-08-26 |
| Event Place | Istanbul, Turkey |
| Presentation | SPEECH |
| Conference Level | International Conferences |
Abstract
Recently, intermittent renewable energy resources (RERs) have attracted a lot of attention due to cost-effective and carbon-free advantages that make them as one of the main sources of energy generation in the modern structure of the power grid. In this paper, each microgrid is equipped with PV panel and wind turbine as the RERs, which to model the fluctuations in the system such as day-ahead market price, stochastic day-ahead scheduling of microgrids is conducted using an autoregressive integrated moving average approach for scenario generation. Due to the complexity and high computational burden of a large number of generated scenarios, the fast forward selection method is also applied for scenario reduction. Because the hydrogen energy takes into account as a promising option for the renewable-based microgrids in terms of the energy storage system, each microgrid is also equipped with hydrogen energy storage (HES) system for assisting the power grid with a high share of RERs in balancing dynamic energy over the scheduling horizon. Indeed, a technology of power to hydrogen is used for storing the surplus clean energy production of stochastic producers in the HES system while this system can supply the required energy to the power grid by a hydrogen-based gas turbine when the electricity grid needs to receive more energy for establishing power balance or electricity price is high in the market for selling energy. Moreover, transactive energy as a reliable and sustainable technology is applied for coordinating and management of energy trading between microgrids and the main grid to create dynamic energy balance. In order to demand-side energy management, load and price response services are employed to revise energy consumption patterns of consumers with the aim of minimizing microgrids cost. Finally, the IEEE 24-bus modified test system is used for validating the effectiveness of the proposed model.