Optimal Strategy Of Time-of-Use Price In Power System With Integrated Photovoltaic Power Generation

As one of the most important kind of renewable energy, photovoltaic power has gradually become one of alternatives of traditional fossil fuel. There is rapidly decline in the cost as the technology develops continually. So the photovoltaic power will become a major power source in the future.However, the output of photovoltaic power has characteristics of fluctuant and intermittent, which have negative effects on power system.In order to improve accommodation of photovoltaic power, Time-Of-Use (TOU) method is adopted to regulate the load profile. As one of the most basic methods for electricity demand side management, it can stimulate consumers to change their schedule of electricity using in regulate the load profile.The optimal TOU pricing is proposed to be equivalent load profile oriented, which is load profile with photovoltaic power profile deducted, in which case, both photovoltaic power accommodation and load shifting are taken into consideration. This method has a significant effect on improving correlation between PV output profile and load profile.Under appropriate assumptions and simplifications, a load shifting model based on customer response model is deduced from the traditional electricity price elasticity matrix model. With this customer response model, customers’ responses to varies of electricity price can be demonstrated exactly.Appropriate period division is the basis of optimal TOU pricing calculation. This paper build fuzzy relation based on semi-trapezoid fuzzy distribution, then calculate equivalence relation with transitive closure method, this method based on equivalent relation fuzzy clustering is applied on period division, which distinguishes the peak and valley of load point in a better way, and provides theoretical basis for optimal TOU pricing calculation.Based on the decision plan, an optimal TOU pricing model is build and solved with Genetic Algorithm. The optimization leads to higher load factor and lower difference ratio of the peak-and-valley of the equivalent load profile. Meanwhile, there is a notable promotion in the correlation coefficient between the load profile and photovoltaic power profile. Different objective functions are used in the testing example an attempt to optimize the TOU plan, which verifies the feasibility of this model.