شماره ركورد كنفرانس :
3788
عنوان مقاله :
Stochastic Energy Management in a Practical Smart Microgrid in Davarzan-Iran Considering Demand Response with Wind and PV Power Scenarios
عنوان به زبان ديگر :
Stochastic Energy Management in a Practical Smart Microgrid in Davarzan-Iran Considering Demand Response with Wind and PV Power Scenarios
پديدآورندگان :
Nosratabadi Seyyed Mostafa sm.nosratabadi@sirjantech.ac.ir Assistant Professor Department of Electrical Engineering Sirjan University of Technology Sirjan, Iran , Modarresi Javad j.modarresi@qiet.ac.ir Assistant Professor Department of Electrical Engineering Quchan University of Technology Quchan, Iran
كليدواژه :
Demand Response , Renewable Energy Resources , Stochastic Scheduling of Resources , Microgrid , Mixed Integer Programming
عنوان كنفرانس :
هفتمين كنفرانس ملي شبكه هاي هوشمند انرژي 96
چكيده فارسي :
Optimal management of Distributed Generation
(DG) resources such as wind and Photovoltaic (PV) powers as
well as Demand Response (DR) resources in a microgrid with a
smart system is very important. In this paper, a problem is
proposed for stochastic scheduling of resources in order to
minimize the related costs for different power sources in a
microgrid in two operational modes of Grid-Connected and
Islanding. The productive resources are distributed generation
units (wind and PV powers), conventional thermal units,
spinning and non-spinning reserves, and DR resources with
high flexibility. The proposed model is formulated as Mixed
Integer Linear Programming (MILP). To highlight the
properties of the proposed model, and to illustrate the
effectiveness of the model in the operational modes of the
microgrid, the microgrid test system in the Davarzan area in
Iran is employed. The simulation results also show the
effectiveness of the DR program in supplying the network load
and reducing the costs. Also, the ISO can manage the system
effectively by this model in two operating modes.
چكيده لاتين :
Optimal management of Distributed Generation
(DG) resources such as wind and Photovoltaic (PV) powers as
well as Demand Response (DR) resources in a microgrid with a
smart system is very important. In this paper, a problem is
proposed for stochastic scheduling of resources in order to
minimize the related costs for different power sources in a
microgrid in two operational modes of Grid-Connected and
Islanding. The productive resources are distributed generation
units (wind and PV powers), conventional thermal units,
spinning and non-spinning reserves, and DR resources with
high flexibility. The proposed model is formulated as Mixed
Integer Linear Programming (MILP). To highlight the
properties of the proposed model, and to illustrate the
effectiveness of the model in the operational modes of the
microgrid, the microgrid test system in the Davarzan area in
Iran is employed. The simulation results also show the
effectiveness of the DR program in supplying the network load
and reducing the costs. Also, the ISO can manage the system
effectively by this model in two operating modes.
