With increasing wind power penetration in many power systems, the requirement of spinning reserve is becoming an important issue, which is directly related to the reliability and economy of the system. To analysis it, there are many uncertainties, such as load forecast error, wind forecast error and generator outage rate, which relate system reserve level to the reliability of it. In this paper, a new method is proposed to quantify the system reserve levels. The method considers the probability distribution of forecast errors of wind and load, as well as generator forced outage rate by using the Expectation of Demand Not Served (EDNS) as evaluation index. The proposed method is then applied to a test system. Results illustrate the relationships of uncertainties with the system reserve level.Keywords-spinning reserve; wind power forecast error; load forecast error; EDNS; probabilistic method;
With the aggravation of environmental problems, countries are more and more aware of the importance of protecting the environment. In 2020, China proposed the goal of “double carbon”. As the main carbon emission industry, the energy industry will become the main battlefield. Therefore, whether the power industry can achieve low-carbon electricity and promote the accommodation of new energy will be the key to achieving carbon neutrality. Under the new background, power grid dispatching should not only consider a single economic benefit, which will lead to a large number of wind and solar curtailments, but also take into account environmental benefits and reduce CO2 emissions. In this paper, an optimal dispatching model of an Integrated Energy System(IES) is established, and CCS is added to CHP units to capture CO2 produced by CHP and send it to P2G. Aiming at the total cost optimization, carbon trading mechanism, wind curtailment cost, and solar curtailment cost are added in the model to ensure the environmental benefits in operation.
With the large-scale grid connection of renewable energy, it is necessary to ensure that the peak shaving demand of the system due to the volatility of renewable energy such as wind power can be met. On the premise of ensuring benefits, how to further tap the peak shaving potential of thermal power units and ensure the safe and reliable operation of power system is the primary problem faced by thermal power plants at this stage. According to the mechanism of peak load regulation auxiliary service in Northeast China, this paper puts forward the strategy model of participating in peak load regulation auxiliary service of thermal power plants, so as to provide basis for further tapping the peak load regulation potential of thermal power units and improving the actual consumption of renewable energy such as wind power by power grid.
For smoothing Wind-PV-Energy storage system output power fluctuation problem, this paper proposed Wind-PV-Energy storage coordinated control method based on variable weight self-adaption filter, considering the Wind-PV system volatility constraint conditions and the energy storage system SOC. With index of the SOC balance of energy storage system and power grid volatility as constraint condition real-time adjusting weights and filter bandwidth of weighted filtering algorithm. With the volatility constrain condition, it used energy storage coordinating the balance between Wind-PV system and grid , reduced the energy storage output frequency and the using time, extended the service life of the energy storage system, improved the economic benefit of Wind-PV-Energy storage joint generation systems.
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