A Multi-Market-Driven Approach to Energy Scheduling of Smart Microgrids in Distribution Networks

Abstract

In order to coordinate the economic desire of microgrid (MG) owners and the stability operation requirement of the distribution system operator (DSO), a multi-market participation framework is proposed to stimulate the energy transaction potential of MGs through distributed and centralized ways. Firstly, an MG equipped with storage can contribute to the stability improvement at special nodes of the distribution grid where the uncertain factors (such as intermittent renewable sources and electric vehicles) exist. The DSO is thus interested in encouraging specified MGs to provide voltage stability services by creating a distribution grid service market (DGSM), where the dynamic production-price auction is used to capture the competition of the distributed MGs. Moreover, an aggregator, serving as a broker and controller for MGs, is considered to participate in the day-ahead wholesale market. A Stackelberg game is modeled accordingly to solve the price and quantity package allocation between aggregator and MGs. Finally, the modified IEEE-33 bus distribution test system is used to demonstrate the applicability and effectiveness of the proposed multi-market mechanism. The results under this framework improve both MGs and utility.

Participation of Electric Vehicle Aggregators in Ancillary Services Considering Users’ Preferences

“…In [9], an online scheduling method that does depend on the forecast of the regulation demand and allows each EV to determine its own schedule in real time, is proposed to provide V2G services. In [10], a multi-market-driven microgrid energy schedule including distributed and centralized market participation, which closed the gap between the internal ancillary services market and external wholesale market, is studied.…”

Efficient Energy-Management System Using A Hybrid Transactive-Model Predictive Control Mechanism for Prosumer-Centric Networked Microgrids

“…Moreover, in the future smart grid, networked MGs could help mitigate the variability of DERs and allow consumers and prosumers to transact and exchange energy (i) among each other and (ii) with other MGs and (iii) to participate in a local retail market providing ancillary services with the rest of the distribution system [8]. Different approaches are proposed in the existing literature to manage and control networked MGs [9][10][11][12][13][14][15][16][17][18]. The role of networked MGs as distributed energy systems to improve power-grid resiliency during extreme weather events is analyzed in Reference [9].…”

“…A most valuable player algorithm is presented in Reference [16] to optimize the scheduling of the generation units and battery storage of an MG. In Reference [17], a distribution grid service market is proposed to provide voltage stability services in MGs. A demand-side management scheme Different approaches are proposed in the existing literature to manage and control networked MGs [9][10][11][12][13][14][15][16][17][18].…”

“…A most valuable player algorithm is presented in Reference [16] to optimize the scheduling of the generation units and battery storage of an MG. In Reference [17], a distribution grid service market is proposed to provide voltage stability services in MGs. A demand-side management scheme for cost minimization in a residential MG using strawberry and cuckoo search algorithms is discussed in Reference [18].…”

Hierarchical Optimization Method for Energy Scheduling of Multiple Microgrids

“…To stimulate the energy transaction potential of MGs, a multi-market participation framework is proposed for distribution network operators (DNOs) [14]. Since market participants belong to different stakeholders, DNOs and MGs can trade energy not only through cooperation, but also through competition.…”