| As the energy depletion and environmental problems becoming more and more serious,it is of urgent need to develop clean and renewable energy.The micro-grid is an effective way to access renewable energy to the large power grid.The safety,stability and the economy of the micro-grid can be improved by energy management.At the same time,in the environment of smart grid,the automatic control level of electric equipment has been improved continuously,which makes it available to control the remote intelligent loads in real-time.Unleashing the full response abilities of loads has great significance to furtherly improve the economy and the response ability of the micro-grid.Therefore,research on the energy management strategy of micro-grid considering load response is carried as follows:(1)The typical loads in the micro-grid are classified according to the extent of loads to interact with the system and the basic model of the translational load and the shedding load are established.The air conditioning is taken as a typical example of shedding loads.In view of the difficulty in obtaining coefficients of performance of air conditioning and the parameters of the building,it is proposed to use the historical data on air conditioning operation in current scenario to obtain more accurate fitting method using the genetic algorithm to get more accurate parameters.Besides,the human activity and the effect of other loads may lead to the indoor temperature deviate from the reference temperature.Thus a Q-learning algorithm is proposed to adjust the set temperature of air conditioning online to improve the accuracy of energy management.The cases in point verify the correctness and effectiveness of the improved model of air-conditioning.(2)Considering that the load scale and the types of users are various in different application scenarios,the micro-grid energy management strategy focuses on different emphasis.The energy management strategy considering load response is studied respectively against small household micro-grid and large commercial micro-grid.Aiming at the economic dispatch problem in household micro-grid,this paper proposes a household energy management strategy based on the user experience.Through proper classification of different household loads,the sub-model of user experience is built.At the same time,the sub-model of charging/discharging for energy storage is made considering its life maintenance.Moreover,the sub-model of purchase-sale of electricity is made according to time-of-use power price.Based on the above model,the power consumption plan,including the operation of household loads and energy storage,is arranged rationally toensure that the cost of household electricity is minimum.Cases verify the correctness andeffectiveness of the proposed household energy management strategy and the proper userexperience is suggested.Aiming at the large scale of loads in commercial micro-grid,it is possible to participate in a large number of demand side response projects.An energy management strategy based on demand response is proposed.The concept and types of demand response are introduced and two typical projects are chosen to be studied respectively from the day-ahead stage and the within-day stage according to the different time scale.In the day-ahead stage,the interaction module for micro-grid to participate in the interruptible load project is designed,and the optimization strategy is formulated.In the within-days stage,the interactive module for micro grid to participate in demand side bidding is designed.The bidding model of the load,the energy storage,and the diesel engine are designed,so as to establish a micro grid bidding model and to develop a strategy of energy optimization.The results show that the proposed method can effectively improve the micro grid gains and reduce the cost of energy consumption What’s more,the response capacity of the system is improved in response to the situation that only loads participating in the demand response. |
PDF Full Text Request