| The distribution of power resources and power load in China are reverse. Power resources are mainly distributed in the west and north regions, while the power load are mainly in east China. The resulting predicament causes a high cost of China's power generation industry, difficulties in wind power accommodation, a high transmission losses and the inflexibility of power investment. This resource structure has a negative effect on the whole society, the power cost increased, the energy efficiency reduced and the air pollution has aggravated. In order to optimize the allocation of inter-regional power resources, how to coordinate the distribution of power resources and power load has become the key issue of achieving a low-carbon and sustainable development of China's power industry.In the traditional model, the inter-regional allocation of power resources mostly relies on the transportation of primary energy. The development of long distance power transmission has relived the pressure on traditional energy transportation mode to some extent. China is devoting to the construction of inter-regional transmission channel and strengthens the inter-regional grid architecture, to improve clean energy utilization by optimizing inter-regional generation replacement and alleviate the pressure on power generation pollution. Under such background, based on the optimal allocation of inter-regional power resources in China, this dissertation focuses on the coordination between power resources and power load distribution, the causality in essential factors of inter-regional power resources allocation, the coordination between inter-regional power generation and power grid, and the inter-regional accommodation of large-scale wind power, the profit distribution and trade negotiation between power generation enterprises in the inter-regional allocation mode.The coordination degree for the distribution of power resources and power load determines the difficulty and depth of inter-regional allocation of power. This dissertation analyzes the distribution between power load and coal, hydro power, wind power, calculating the coordination degree of power load and energy distribution by Gini coefficient. The result indicates that the coordination degree between these energies (coal, hydro power and wind power) distribution and power load are relatively low. However, the exploitation of hydro power and wind power alleviated the incongruity between primary energy and power load distribution.Inter-regional allocation of power resources is constrained by objective factors like transmission capability, transmission price, and wind power accommodation level, etc. This constraint affects the transmission and feedback of physical quantity and value quantity in energy industry chain. Accordingly, this dissertation establishes a system dynamics model of inter-regional power supply and power demand. Describing the transitive relation between each factor through causal loop and flow-stock diagram, and simulate the variation trend of the relation between inter-regional power supply-demand and price by Vensim. With coal supply, economic growth rate, utilization hours of wind power, and transmission capacity as sensitivity factors, a sensitive analysis of inter-regional power allocation is performed.The allocation of inter-regional power resources is limited by the power planning; conversely, it also affects the trends of power planning to a certain extent. With the goal of minimizing the power generation cost in the planning year, considering power balance, backup power, generation reserve and construction cost as constraints, this dissertation establishes an optimization model for coordinating development between multi-type generators and inter-regional power transmission network. By optimizing the coordination in the construction capacity and construction timing of power generation and power grid, the development of inter-regional allocation of power resource is guaranteed, the energy utilization efficient increased, while avoiding the wasteful investment resulting from the discordance of power generation and power grid construction.The construction of inter-regional transmission channel expands the capacity of wind power accommodation and reduces wind power curtailment to a certain context. For short and medium term, wind power can be delivered to the consumer by banding together with thermal power through transmission line. Based on unit commitment (UC) model, considering wind power peak regulation and the fluctuation of transmission power as constraints, a dispatching model of power delivering, which combines wind power with thermal power is built. This model can optimize the coordination of a real-time output power from combined power delivering. For the medium to long term, the accommodation of wind power can learn from power pool mode. Cooperate with the mechanism of customer load demand respond to the electricity price and the adjustment of wind power's anti load characteristic in energy storage system, the accommodation of wind power can be expanded by changing the time distribution of the load and the output.The inter-regional allocation of power resources will affect the share distribution of the electricity market participants, therefore, rationalize the interests of all market participants is the basis of promoting inter-regional allocation of power resources. The profit-sharing in combined electricity delivering mode:wind power band with thermal power, can be distributed based on the contribution to the whole union benefits with Shapley-value and core method. Researching on the effect of profit-sharing in combined electricity delivering mode by setting inter-regional carbon trading spread and transmission fluctuation constraint as sensitivity factors. Issues on the negotiation of generation rights trade in inter-regional thermal power unit, this dissertation proposes a negotiation model based on Zeuthen strategy and Bayesian learning. In this model, both parties gradually estimate the base price of the opponent to reduce the price difference, in order to maximize the utility of both parties. |
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