High intermittence of renewable energy resources(RESs)and restriction for greenhouse gas(GHG)emissions have significantly challenged the operations of traditional diesel generator(DG)based microgirds.This paper consid...High intermittence of renewable energy resources(RESs)and restriction for greenhouse gas(GHG)emissions have significantly challenged the operations of traditional diesel generator(DG)based microgirds.This paper considers an emission-free microgid with hybrid hydrogen-battery energy storage(HHBES)and proposes a coordinated operational strategy to minimize its daily operation costs.In addition to the electricity purchase costs in the day-ahead market and the operational costs of RESs,the total degradation cost of HHBES is also included in the cost calculation.The proposed operational strategy consists of two coordinated stages.At the day-ahead stage,the schedule for the tie-line power is exchanged with the main grid,the output power of the fuel cell(FC)and the input power of the electrolysis device(ED)are optimized under the worst case of uncertain power output from RESs and power demand from electricity loads(ELs).At the intra-day stage,the battery power is determined according to the short-term prediction for the power of RESs and ELs.The problem is formulated as a robust optimization model and solved by a two-level column-andconstraint-generation(C&CG)algorithm.Numerical simulations using Australian energy market operator(AEMO)data are carried out to validate the effectiveness of the proposed strategy.展开更多
One battery energy storage system(BESS)can be used to provide different services,such as energy arbitrage(EA)and frequency regulation(FR)support,etc.,which have different revenues and lead to different battery degrada...One battery energy storage system(BESS)can be used to provide different services,such as energy arbitrage(EA)and frequency regulation(FR)support,etc.,which have different revenues and lead to different battery degradation profiles.This paper proposes a whole-lifetime coordinated service strategy to maximize the total operation profit of BESS.A multi-stage battery aging model is developed to characterize the battery aging rates during the whole lifetime.Considering the uncertainty of electricity price in EA service and frequency deviation in FR service,the whole problem is formulated as a twostage stochastic programming problem.At the first stage,the optimal service switching scheme between the EA and FR services are formulated to maximize the expected value of the whole-lifetime operation profit.At the second stage,the output power of BESS in EA service is optimized according to the electricity price in the hourly timescale,whereas the output power of BESS in FR service is directly determined according to the frequency deviation in the second timescale.The above optimization problem is then converted as a deterministic mixed-integer nonlinear programming(MINLP)model with bilinear items.Mc Cormick envelopes and a bound tightening algorithm are used to solve it.Numerical simulation is carried out to validate the effectiveness and advantages of the proposed strategy.展开更多
基金The work was supported in part by T-RECs Energy Pte.Ltd.under Grand No.04IDS000719N014the National Natural Science Foundation of China(71801054)。
文摘High intermittence of renewable energy resources(RESs)and restriction for greenhouse gas(GHG)emissions have significantly challenged the operations of traditional diesel generator(DG)based microgirds.This paper considers an emission-free microgid with hybrid hydrogen-battery energy storage(HHBES)and proposes a coordinated operational strategy to minimize its daily operation costs.In addition to the electricity purchase costs in the day-ahead market and the operational costs of RESs,the total degradation cost of HHBES is also included in the cost calculation.The proposed operational strategy consists of two coordinated stages.At the day-ahead stage,the schedule for the tie-line power is exchanged with the main grid,the output power of the fuel cell(FC)and the input power of the electrolysis device(ED)are optimized under the worst case of uncertain power output from RESs and power demand from electricity loads(ELs).At the intra-day stage,the battery power is determined according to the short-term prediction for the power of RESs and ELs.The problem is formulated as a robust optimization model and solved by a two-level column-andconstraint-generation(C&CG)algorithm.Numerical simulations using Australian energy market operator(AEMO)data are carried out to validate the effectiveness of the proposed strategy.
基金partially supported by T-RECs Energy Pte.Ltd.under project(No.04IDS000719N014)。
文摘One battery energy storage system(BESS)can be used to provide different services,such as energy arbitrage(EA)and frequency regulation(FR)support,etc.,which have different revenues and lead to different battery degradation profiles.This paper proposes a whole-lifetime coordinated service strategy to maximize the total operation profit of BESS.A multi-stage battery aging model is developed to characterize the battery aging rates during the whole lifetime.Considering the uncertainty of electricity price in EA service and frequency deviation in FR service,the whole problem is formulated as a twostage stochastic programming problem.At the first stage,the optimal service switching scheme between the EA and FR services are formulated to maximize the expected value of the whole-lifetime operation profit.At the second stage,the output power of BESS in EA service is optimized according to the electricity price in the hourly timescale,whereas the output power of BESS in FR service is directly determined according to the frequency deviation in the second timescale.The above optimization problem is then converted as a deterministic mixed-integer nonlinear programming(MINLP)model with bilinear items.Mc Cormick envelopes and a bound tightening algorithm are used to solve it.Numerical simulation is carried out to validate the effectiveness and advantages of the proposed strategy.
