Peak Shaving Bidding Model Of Energy Storage And Partial Cost Allocation Research Of Wind Power

In order to promote wind power consumption and reduce wind curtailment,it is necessary to fully tap the peak shaving potential of the power grid and improve the peak shaving capability of the power system.At the same time,as energy storage is a new type of flexible peak-shaving resource,the relevant mechanisms for participating in the auxiliary service market still need to be further improved,and a stable and reasonable income model has not yet been formed.Based on this background,this paper conducts research,aiming to give full play to the flexibility advantages of energy storage,further support the integration of wind power into the grid and promote wind power consumption from the perspective of marketization.The paper firstly combines the carbon emission trading market with the peak shaving auxiliary service market,and proposes a bidding mechanism for energy storage to participate in the peak shaving market considering carbon trading.The Stackelberg game method is used to solve it,so that the carbon emission benefit of peak shaving can make up for the increment of peak shaving cost as much as possible.The calculation example shows that the model realizes the free competition of participants’ prices,and the economic and environmental benefits of energy storage and thermal power units have been effectively improved.Then,the dispatching and trading center will centrally and uniformly clear the information reported by energy storage and thermal power units.The paper improves the traditional clearing method,and proposes an indicator of insufficient expected value of energy storage peak shaving,so as to construct an auxiliary service market clearing model considering the reliability of energy storage peak shaving.Settlement by agreement.The calculation example verifies that the dispatching trading center can make a more reasonable peak-shaving capacity allocation according to the peak-shaving situation of each market entity.After the dispatching and trading center clears the market,it continues to study how to apportion the peak-shaving ancillary service costs after wind power is connected to the grid.Combining the advantages of the EANS method and the improved Shapley value method,and assigning different weights to the two methods respectively,a peak-shaving auxiliary service cost allocation model based on the EANS-improved Shapley value method is obtained.The calculation example shows that the apportionment result calculated by this method is more reasonable,and it also verifies that energy storage can balance the interests of all parties.The above research gives full play to the flexibility advantages of energy storage,further supports wind power grid integration and promotes wind power consumption from the perspective of marketization,and provides reasonable and stable peak-shaving benefits for energy storage.The proposed method can provide a certain theoretical reference for the scalable development of energy storage.