This paper proposes a novel transmission use of system(TUoS)charging method,which is able to 1)acknowledge the trade-offs between short-run congestion cost and long-run investment cost when justifying economic network...This paper proposes a novel transmission use of system(TUoS)charging method,which is able to 1)acknowledge the trade-offs between short-run congestion cost and long-run investment cost when justifying economic network investment,2)identify the impacts of different generation technologies on congestion cost and network investment,and 3)translate these impacts into economically efficient TUoS tariffs that differentiate generation technologies.An incremental capacity change from a generator will impact the congestion costs at each branch,which is then translated into the impacts on investment time horizons.The difference in the present values with and without the incremental change for a branch is its long-run incremental cost(LRIC).The final TUoS tariff for this generator is the sum of all LRIC triggered by its capacity increment.The proposed method is demonstrated on a modified IEEE 14-bus system to show its effectiveness over the traditional approach.Results show that it can provide cost-reflective TUoS tariffs for different generation technologies at the same sites by examining their respective impacts on congestion and investment.It thus can incentivize appropriate generation expansion to reduce congestion costs and ultimately network investment cost.展开更多
Strict enforcement of government policies to integrate high generation share from renewable energy sources(RES)like wind and PV would create inevitable operational challenges for the utilities to deliver Frequency Res...Strict enforcement of government policies to integrate high generation share from renewable energy sources(RES)like wind and PV would create inevitable operational challenges for the utilities to deliver Frequency Response(FR)services.Uncertain RES generation characteristics would worsen the situation for SO,to detain initial frequency deviation following the largest generation outage.This necessitates investigation of optimal generator combination for securing PFR adequacy with simultaneous characterization of uncertainty.In this regard,this paper proposes a novel Modified Interval(MI)based optimal generation mix formulation for operation cost minimization and FR adequacy.RES uncertainty is characterised by forecasted upper and lower bound,while hourly ramp needs are based on the net load scenarios.Proposed model is assessed on one area IEEE reliability test system.Rate of change of frequency(ROCOF)and frequency deviation are considered as network security limits to obtain optimal generation mix.Results obtained provide,overall cost performance,PFR and optimal generation mix,without violating system security criteria.This model would certainly assist SO,to enhance system’s inertia and PFR adequacy at short-term system operations and could be extended for long-term planning framework.展开更多
文摘This paper proposes a novel transmission use of system(TUoS)charging method,which is able to 1)acknowledge the trade-offs between short-run congestion cost and long-run investment cost when justifying economic network investment,2)identify the impacts of different generation technologies on congestion cost and network investment,and 3)translate these impacts into economically efficient TUoS tariffs that differentiate generation technologies.An incremental capacity change from a generator will impact the congestion costs at each branch,which is then translated into the impacts on investment time horizons.The difference in the present values with and without the incremental change for a branch is its long-run incremental cost(LRIC).The final TUoS tariff for this generator is the sum of all LRIC triggered by its capacity increment.The proposed method is demonstrated on a modified IEEE 14-bus system to show its effectiveness over the traditional approach.Results show that it can provide cost-reflective TUoS tariffs for different generation technologies at the same sites by examining their respective impacts on congestion and investment.It thus can incentivize appropriate generation expansion to reduce congestion costs and ultimately network investment cost.
基金This work is supported by the DST grant for UKICERI project,DST/RCUK/JVCCE/2015/02.
文摘Strict enforcement of government policies to integrate high generation share from renewable energy sources(RES)like wind and PV would create inevitable operational challenges for the utilities to deliver Frequency Response(FR)services.Uncertain RES generation characteristics would worsen the situation for SO,to detain initial frequency deviation following the largest generation outage.This necessitates investigation of optimal generator combination for securing PFR adequacy with simultaneous characterization of uncertainty.In this regard,this paper proposes a novel Modified Interval(MI)based optimal generation mix formulation for operation cost minimization and FR adequacy.RES uncertainty is characterised by forecasted upper and lower bound,while hourly ramp needs are based on the net load scenarios.Proposed model is assessed on one area IEEE reliability test system.Rate of change of frequency(ROCOF)and frequency deviation are considered as network security limits to obtain optimal generation mix.Results obtained provide,overall cost performance,PFR and optimal generation mix,without violating system security criteria.This model would certainly assist SO,to enhance system’s inertia and PFR adequacy at short-term system operations and could be extended for long-term planning framework.
