基于实时电价的电动汽车充放电优化策略和经济调度模型

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Abstract Real time pricing makes it possible to optimize the charging load and discharging load of electric vehicles (Evs). First the real time price model based on time-of-use pricing is built; the minimization of the charging cost in consideration of battery degradation cost as well as constraints including mobility requirements is taken as objective function. The charging price response from EV users aims to interact the charging and discharging load with charging price, therefore the real time pricing model is embedded into the EV charging optimization model mentioned above. A new method, which limits the EV charging and discharging time slot according to the parking periods, is used to solve the EV charging optimization problem. Having obtained the charging load profile, the security-constrained economic dispatch (SCED) problem with V2G model is studied,in which two stage optimization model including user side and grid side is established. To obtain a credible result from the high time coupling, non-linear and non-convex SCED problem an improved Pattern Search method combined with Genetic Algorithm and augmented Lagrange approach is developed. The simulation and numerical results are based on an IEEE 39 bus system, showing that the model is suitable and robust to analyze the impact of charging load on the grid and the correlation between the scheduling of EVs and output power of generators.

Key words： Electric vehicle, real-time-price response, multi-objective economic dispatch, improved pattern search algorithm

Published: 04 January 2017

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TM73

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	Ma Xiufan
	Wang Chao
	Hong Xiao
	Wang Hao
	Li Ying

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Ma Xiufan,Wang Chao,Hong Xiao等. Optimal Scheduling of Charging and Discharging of Electric Vehicle Based on Real Time Price and Economic Dispatch Model[J]. Transactions of China Electrotechnical Society, 2016, 31(增刊): 190-202.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I增刊/190

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