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- Title
计及用户响应电价关联与多主体共赢的 电动汽车充放电定价优化.
- Authors
董运昌; 刘世民; 曲朝阳; 宋佳骏; 王蕾; 薄小永
- Abstract
Aiming at the problem that the uncertain behavior of electric vehicle users in response to elec⁃ tricity price leads to the load fluctuation of distribution network and the increase of operators’ costs,a charging and discharging pricing optimization method of electric vehicles considering the correlation of user response to electricity price and the win-win results of multi-stakeholder is proposed. Firstly,according to the response mode of users to the charging and discharging price,the correlation relationship between the charging and discharging transfer of different users and the change of electricity price is analyzed. Then, the unit input cost function is defined,and the multi-objective optimization model of charging and discharging pricing to coordinate the interest of multi-stakeholder is established,taking the minimum peak-valley load difference of power grid,the maximum cost saving of operators and the maximum power consumption satisfaction degree of users as the optimization objectives,and taking the electric vehicles’mileage,battery energy,charging and discharging time and vehicle-to-grid discharging price as the constraint conditions. Finally,on the basis of artificial fish swarm algorithm,combining with immune algorithm and Pareto optimal solution set,an improved immune fish swarm algorithm based on contraction space is proposed to solve the multi-objective optimization model. The results of an example show that the proposed pricing optimization method can not only reduce the peak-valley load difference of system and the operators’cost,but also enhance the ability to regulate and control users’ordered access to power grid in different time periods,which verifies the effectiveness and superiority of the proposed method.
- Subjects
ELECTRICITY pricing; PARETO optimum; ELECTRIC power distribution grids; USER charges; COST functions; ELECTRIC vehicles
- Publication
Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, Vol 42, Issue 7, p134
- ISSN
1006-6047
- Publication type
Article
- DOI
10.16081/j.epae.202202021