Multiobjective Model Of Time-of-Use And Stepwise Power Tariff For Residential Consumers And It's Application

Energy crisis is gradually revealed because of the large amounts of fossil fuels, which makes the power industry face a more difficult task of energy saving and emission reduction. Relying solely on improving the power supply capacity of the supply side to address the tension between supply and demand can't meet the requirements of environment-friendly and resource-conserving society. It not only requires generation power market to save energy, but also requires power consumer to be obliged to save energy. Energy saving and emission reduction of the demand side mainly rely on DSM. As an effective means of load management, DSM can alleviate the shortage of energy and environment problem, suppress the power price fluctuation and enhance the efficiency of energy utilization. Well designed power tariffs can improve residents' electricity-saving awareness and motivate them to economically consume electricity according to the power prices at different hours, save resource and electricity. Aiming at this problem, the following research has been carried out in this paper:Firstly, this paper discovers the complementary characteristics of time-of-use (TOU) rates and stepwise power tariff (SPT). TOU rates can motivate residents to shift their electricity usage to reduce peak-valley load difference, and SPT can encourage users to save energy and improve energy efficiency.Secondly, the residential demand response with multistep and multi-period price elasticity is proposed. In the proposed approach, the residential demand response with price elasticity in regulated power market is considered to determine the optimum peak-valley TOU tariffs for each stepwise electricity partition. And this paper introduces the method of calculating price elasticity.Thirdly, this paper proposes a new multiobjective optimal tariff-making model of time-of-use and stepwise power tariff (TOUSPT), which combines the complementary characteristics of two power tariffs, for residential energy conservation and peak load shaving. It considers all aspects of the constraints, including the user's electricity charge, electricity price constraints, etc.. TOUSPT adopts the non dominated sorting genetic algorithm with elite strategy to solve the Pareto solution set. Furthermore, a practical case study is implemented to test the effectiveness and optimality of the proposed TOUSPT, and the results demonstrate that TOUSPT can achieve efficient end-use energy saving and also shift load from peak to off-peak periods.Finally, carbon capture device in response to the price is taken as an example to validate the power tariffs designed in this paper. Capture carbon device has the characteristics of flexible operation, and can change the operation mode to reduce electricity charge by adopt different price strategy.This paper focuses on power tariffs and proposes a new multiobjective optimal tariff-making model of time-of-use and stepwise power tariff. The proposed tariff-making model could be applied to different energy in regulated power market. The research of this paper could provide a reference for tariff-making model of time-of-use and stepwise power tariff.