Tou Pricing And Optimization Of Smart Grid

Smart grid is a new type of power supply mode, as well as the direction of the future grid development. The smart grid TOU price emphasizes the interaction between users and grid, while incenting and guiding users to change the traditional way of power consumption, it does hope that more and more users to participate in the operation and management of the grid. With the construction and development of smart grid and the smart grid area in China, how to make the TOU price of smart gird reasonably and how to realize optimal dispatch of smart grid area, achieving the load of peak periods transfer effectively and improve the reliability and stability of the grid, are the important research contents of smart grid.First, we analyzed and introduced the price elasticity under smart grid, gave a method to calculate the price elasticity matrix, established a model to correct fitting load by the price elasticity matrix, thus reflecting user’s response and the corresponding load transfer under the influence of TOU price.Second, we established a TOU price optimization model for smart grid based on the price elasticity and user’s response, where the user’s response is realized by introducing a general user’s response model to fit the load after changing the smart gird TOU price. We identified the parameters of the user’s response model by a novel weighted least square method and corrected the fitting load by the price elasticity matrix. Moreover, an optimal TOU price scheme is given. Simulation results demonstrate the feasibility and effectiveness of our proposed method.Finally, we established the integrated generation day-ahead economic dispatch model under the smart grid TOU price based on user response and proposed the compensation measures to the interruptible load, as well as introduced the user’s response degree indicator and analyzed the impact of the user’s response degree indicator to the generation cost and the total cost. Then we optimized the next day’s generator’s start-stop and active power output by rolling optimization method, then obtained the optimal dispatch schedule. Simulation results demonstrate the feasibility and effectiveness of the dispatch schedule.