The development of a single type of new energy can lead to energy loss, low equipment utilization and other problems, and the traditional integrated energy multi-energy complementary collaborative planning methods can not obtain the output characteristics of the integrated energy multi-energy complementary synchronous power generation unit with high accuracy, increasing the loss of energy power. This paper proposes the concept of multi-energy complementary composite power station based on the complementary characteristics of various types of power sources, and researches the complementary mechanism of the composite power station and the external characteristics of planning-oriented; introduces the concept of source network and load storage, and proposes a brand-new energy multi-energy complementary collaborative optimization planning method, and establishes a mathematical model of the comprehensive energy energy flow, and derives the output characteristics of the comprehensive energy multi-energy complementary synchronous power generation unit. And through the comparison with the comprehensive energy planning method based on interconnection and interaction and the comprehensive energy planning method based on multi-energy complementary two methods, it is concluded that the method proposed in this paper can effectively reduce the loss generated in the process of comprehensive energy multi-energy utilization, with significant advantages.
KEYWORDS: Renewable energy, Solar energy, Thermal modeling, Wind energy, Photovoltaics, Solar cells, Complex systems, Carbon, Power grids, Process modeling
KEYWORDS: System integration, Systems modeling, Tidal energy, Surface plasmons, Pipes, Mathematical modeling, Energy efficiency, Mathematical optimization, Computation time, Complex systems
As an important way to achieve the "carbon peaking and carbon neutrality goals," the integrated energy system is worth further exploring its ability to respond on the demand side. In this paper, an electric-thermal integrated energy demand response based on a tiered carbon trading mechanism is proposed, and a low-temperature waste heat power generation device based on ORC is introduced to further solve the problem of insufficient demand-side response. Finally, the proposed model is verified with the lowest energy purchase cost, tiered carbon transaction cost and operation and maintenance cost. Through the example analysis, it can be seen that the integrated energy system considering the response of electric heat demand to formulate a reasonable carbon trading mechanism can achieve the synergy of economic and low-carbon system.
There are abundant information on the network, such as weather information, book information and so on. Now the Web information has far exceeded human imagination. However, most deep web information resources are not available through simple click, and often need query interface. We use domain ontology to construct the interface schema extraction method, the approach extracts interface schema from the perspective of visual units and the internal codes. There are many data extraction methods. Among them, CAW (Context-Aware Wrapper) is representative and outstanding. Thus, we choose it as our state-of-art baseline algorithm. The extraction effect of this method is better than CAW in the experiment. Finally, the effectiveness of this method is verified.
Due to serious new energy abandonment in Jilin grid of China, an adaptive energy-load matching optimization method for wind-photovoltaic complementary is built in this paper. Among certain new energy sources, we adaptively select the combination of new energy stations with high load matching, so that more new energy is consumed and less power is discarded. In this paper, the optimization method of maximizing new energy consumption without energy-load matching is taken as the comparison benchmark, and the advantages of adaptive energy-load matching optimization method are analyzed from multiple scenarios of different total amount of new energy. By selecting the combination of new energy stations with high load matching degree, the method can obtain lower curtailment of new energy, and the complexity of decision space is reduced, making the decision variables of new energy stations can be solved in a short time,when the number of decision variables is big.
In order to solve the problems of insufficient new energy consumption and serious abandonment of wind and light in the three north areas of China, the electric boiler is installed in the power grid area where the wind power consumption is insufficient, and the electric boiler is used to absorb wind power on the spot. In this paper, the heating demand and the maximum heat storage capacity of the electric boiler with heat reservoir are reversely deduced based on the user's electricity consumption data for the first time. According to the time of use electricity price in Jilin Province, the bubble sorting principle is used to tap the adjustable potential of the electric boiler with heat reservoir, and the peak power consumption is shifted to the low, so as to reduce the user's electricity charge and absorb the abandoned wind during the low period of the power grid, it plays the role of cutting peak and filling valley and stabilizing power grid. Compared with the brute force exhaustive method, this method greatly reduces the computational complexity. Compared with the method relying on the parameters of electric boiler and environmental parameters, this method greatly reduces the data which is needed to be collected, and reduces the evaluation errors caused by the performance degradation of electric boiler.
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