Energy management in hybrid microgrid with considering multiple power market and real time demand response

• Published in: Energy (Oxford) 2019-05, Vol.174, p.10-23
• Main Authors: Tabar, Vahid Sohrabi, Ghassemzadeh, Saeid, Tohidi, Sajjad
• Format: Article
• Language: English
• Subjects: Consumers; Demand response; Distributed generation; Electrical loads; Energy management; Energy storage; Energy tariff; Environmental incentives; Internal power market; Linear programming; Markets; Microgrid; Parameter uncertainty; Power consumption; Real time strategy; Renewable resource; Solar energy; Solar radiation; Storage systems; Strategy; Tariffs; Wind speed
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2019.01.136

Energy management in microgrid has been become an important issue in recent studies. Nowadays, energy management strategies are grown rapidly. In this paper, a new energy management strategy has been proposed for a hybrid microgrid including demand response and internal power market. In this regard, multiple markets configuration is considered in the proposed method and interaction between the consumers, microgrid and incentive strategies are included in the presented planning. Due to presence of various types of consumers, such as critical and normal loads, different power tariffs and contracts are utilized in energy management. Moreover, the effects of shiftable loads behavior have been investigated on the planning. Shiftable loads that cause problems such as sudden demand and frequency drop are considered in the presented strategy. In order to overcome this problem, electrical energy storage systems have been used as the transient power supplier. The proposed method is a stochastic linear programming that loads, wind speed, solar radiation and price of energy are considered as uncertain parameters and the microgrid cost, emission and demand cost are utilized as objective functions. Simulation results show a great reduction in microgrid cost, pollution and demand payments as well validate the effectiveness the proposed strategy. •Energy management of a hybrid microgrid including different components.•Investigation of the effects of internal power market and real time demand response.•Considering cost, emission and demand cost as objective functions.•Increasing the total revenue of microgrid and loads by the proposed method.•Using augmented Epsilon-constraint method to solve multi objective program.