شماره ركورد كنفرانس :
3788
عنوان مقاله :
A Demand-Side Management-Based Model for G TEP Problem Considering FSC Allocation
عنوان به زبان ديگر :
A Demand-Side Management-Based Model for G TEP Problem Considering FSC Allocation
پديدآورندگان :
Zeinaddini-meymand Majid m.meymand@eng.uk.ac.ir North of kerman electric power distribution company Kerman, Iran , Rashidinejad Masoud mrashidi@uk.ac.ir North of kerman electric power distribution company Kerman, Iran , Gharachedaghi Mohsen mohsengharachedaghi@nked.ac.ir North of kerman electric power distribution company Kerman, Iran
كليدواژه :
generation , transmission expansion planning , demand response , peak load reduction , fixed series compensation , benders decomposition
عنوان كنفرانس :
هفتمين كنفرانس ملي شبكه هاي هوشمند انرژي 96
چكيده فارسي :
This paper presents a multi-period generation and
transmission expansion planning in the presence of uncertainty in
the strategies of market participations. Moreover, the effects of
demand response and fixed series compensation allocation are
considered for peak shaving and optimal utilization of
transmission capacity, respectively. This may cut back the
generating expansion capacity and transmission investment cost.
The optimal expansion plan is achieved while modeling market
functioning considering uncertainty in generator offers, and
demand bids. In this model, DR preferences have integrated into
ISO’s market clearing process, which applied to the load
aggregators according to locational marginal prices and market
clearing. Shifting and curtailing demand peak, and onsite
generation are considered as load reduction strategies in demand
response program. However, ISO optimizes the decision submitted
by generating companies and load aggregators in the presence of
uncertainties. The proposed model is applied to the Garver system
to show the effectiveness of DR and FSC in dynamic G TEP.
چكيده لاتين :
This paper presents a multi-period generation and
transmission expansion planning in the presence of uncertainty in
the strategies of market participations. Moreover, the effects of
demand response and fixed series compensation allocation are
considered for peak shaving and optimal utilization of
transmission capacity, respectively. This may cut back the
generating expansion capacity and transmission investment cost.
The optimal expansion plan is achieved while modeling market
functioning considering uncertainty in generator offers, and
demand bids. In this model, DR preferences have integrated into
ISO’s market clearing process, which applied to the load
aggregators according to locational marginal prices and market
clearing. Shifting and curtailing demand peak, and onsite
generation are considered as load reduction strategies in demand
response program. However, ISO optimizes the decision submitted
by generating companies and load aggregators in the presence of
uncertainties. The proposed model is applied to the Garver system
to show the effectiveness of DR and FSC in dynamic G TEP.
