Abstract. Considering the incomplete information in distribution network, this paper proposes a method of hosting capacity assessment for distributed photovoltaic (PV) generation integrated into distribution network considering demand response based on fusion of multiple data sources. Via integration of real-time data and historical data from power grid dispatching system, distribution automation system, distributed generation monitoring and control system, and electricity data and historical data from metering system, marketing system, load control system, the hosting capacity analysis model of the distributed generation is complete. Considering the load demand response ability in power system's voltage regulation based on the typical load characteristics, the hosting capacity of distribution network is analyzed, taking the limit value of voltage deviation and voltage fluctuation as the quantitative calculation, the safety index of short circuit current and branch current carrying capacity as the constraint. Finally, the experimental results from the actual distribution network reveal that, with the demand response participating in power system's voltage regulation, the distributed PV accommodation capacity of the distribution network has been significantly improved.
In recent years, as State Grid Shandong Electric Power Company is one of the key pilot construction units of the new strategy of “realizing the coordination and interaction of source network, load and storage”, renewable energy power generation systems have gradually changed from a subsidy object to an independent bidding subject when participating in the spot power market of Shandong Province. The uncertainty of renewable energy output and spot market price leads to the loss caused by bidding deviation when participating in the power market competition, and the income drops significantly. The good complementarity of wind and solar energy can reduce the fluctuation of renewable energy output and promote renewable energy consumption. First, the joint output probability distribution of a wind-solar hybrid generation system is simulated based on Copula function. Then, aimed at maximizing the bidding profit of the wind-solar hybrid generation system in spot market, a two-stage mixed integer stochastic optimization bidding model considering bidding deviation penalty is established. The conditional value at risk theory is used to evaluate the risk of renewable energy and electricity price forecast deviation, and the optimal bidding strategy is obtained.
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