Park energy internet optimization operation method considering response behavior uncertainty

Abstract

The invention relates to a park energy internet optimization operation method considering response behavior uncertainty, and the method comprises the following steps: 1) constructing an improved pricetype demand response uncertainty model, and obtaining an optimal time-of-use electricity price strategy for electricity price adjustment; 2) constructing a response model of the excitable load, and realizing peak clipping and valley filling together with the interruptible load; 3) constructing a transferable and translatable load response model, and reducing response uncertainty by establishing aprice reward and punishment mechanism; and 4) taking the lowest park energy internet operation cost as an objective function, constructing a park energy internet optimization scheduling model, solving the optimization scheduling model, and guiding the demand side to participate in load response according to a result. Compared with the prior art, the method has the advantages of quickness, reliability, high economy, comprehensive consideration of uncertainty of price type and excitation type demand response, peak clipping and valley filling effects and the like.

Description

technical field [0001] The invention relates to the field of optimal operation of distribution networks, in particular to a method for optimal operation of park energy Internet considering the uncertainty of response behavior. Background technique [0002] Demand response, as a key means to achieve coordinated development between the power consumption link and other links, is an important way to reflect energy-friendly interaction in the business of the intelligent power consumption interaction link. Demand response can effectively reduce the peak-to-valley difference, which is conducive to the safe and stable operation of the system However, in the process of implementing demand response strategies, due to a series of reasons such as lack of attention to incentives by users, communication delays, or changes in consumption behavior, there must be certain uncertainties in demand response. In recent years, the impact of demand response uncertainty on the optimal operation of p...

AI Technical Summary

Problems solved by technology

However, the impact of multiple demand response uncertainties on the optimal operation of the Park Energy Internet has not been considered at the same time.

And the previous research results have the following shortcomings: on the one hand, it is difficult to establish an effective mechanism to guide the demand side to participate in load response; on the other hand, most of the established models are nonlinear and too complex, the solution speed is slow, and it is difficult to ensure the accuracy of the solution results

[0003] The existing literature uses the principle of consumer psychology, introduces the concept of load transfer rate, and expresses the response behavior of users by establishing an uncertain demand response mechanism model, but does not describe the relationship between price changes and load changes, and does not formulate Optimal Time-of-Use Electricity Price Strategy

There are also literatures that use the price elasticity matrix to describe the impact of price changes on load changes, and consider the uncertainty of the load response through the triangular membership function or Z-number function, but the expression of the fuzzy function is too complicated, which leads to the comparison of model solutions. It is difficult and does not take into account the fact that there are non-response areas and over-response areas in the user's response to electricity prices, which will lead to a certain deviation between the fitted load response and the actual load response

[0004] Interruptible load can play a role in peak shaving. However, the wind resources in the system have the characteristics of anti-peak regulation. How to fully absorb wind power resources and encourage users to increase power consumption when the load is low, so as to effectively reduce the load peak-valley difference, To ensure the safe and stable operation of the system, further research is still needed

In addition, due to communication delays, changes in user comfort, etc., the actual start time of the shiftable load may be earlier or later than the earliest assumed start time. How to reduce this uncertainty is worthy of further study

The transferable load is similar to the transferable load, but there is no time limit for the start of the transfer, and within a dispatch cycle, users can transfer the load multiple times according to their own needs, but there is a certain degree of uncertainty in the transfer amount of each load , how to reduce the uncertainty of the interruptible load so as to ensure the smoothness of the load curve is worthy of further study

Images