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Pricing strategy for renewable energy source electricity in the competitive hybrid electricity market

机译：竞争激烈的混合电力市场中可再生能源电力的定价策略

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PurposenTo promote the development of renewable energy, the Chinese Government adopts the policy of Feed-in Tariff and subsidy. However, the high purchase price and the intermittence limit the development of renewable energy source electricity (RES-E). The purpose of this paper is to discuss the pricing strategy for system operators to stimulate the development of the RES-E industry under the scenario of uncertain supply and demand.nDesign/methodology/approachnThe authors establish a two-echelon supply chain investment model led by a power grid operator considering the uncertainties in both demand and supply, and study the impact of the power purchase price designed by a system operator using Stackelbergs model.nFindingsnThere is an optimal capacity for RES-E generators, that is, independent of the market demand. Besides, the optimal order of grid operators is independent of the uncertain RES-E supply and the purchase price of fossil fuel. By properly setting the purchase prices, the system operator can stimulate the capacity investment in renewable energy. Finally, increasing the punishment in power shortage can stimulate the capacity investment in RES-E under certain conditions.nPractical implicationsnThe result of this paper can mitigate the phenomenon of power abandonment in the RES-E industry and promote the grid integration of RES-E.nOriginality/valuenBoth uncertain demand and supply are considered in this paper. A heuristic algorithm is provided to compute the optimal purchase price combination.
机译：目的为了促进可再生能源的发展，中国政府采取了上网电价补贴政策。但是，高昂的采购价格和间歇性限制了可再生能源电力（RES-E）的发展。本文的目的是讨论供需不确定的情况下系统运营商的定价策略，以刺激RES-E产业的发展。n设计/方法/方法作者建立了一个以两级为主导的供应链投资模型电网运营商考虑需求和供应的不确定性，并研究由系统运营商使用Stackelbergs模型设计的购电价格的影响。n发现RES-E发电机具有最佳容量，即与市场需求无关。此外，电网运营商的最优订单与不确定的RES-E供应和化石燃料的购买价格无关。通过适当设置购买价格，系统运营商可以刺激可再生能源的产能投资。最后，加大对缺电的惩罚力度可以在一定条件下刺激RES-E的容量投资。n实践意义n本文的研究结果可以减轻RES-E行业的用电现象，促进RES-E的电网整合。 n原始数据/价值n本文考虑了不确定的需求和供应。提供了一种启发式算法来计算最佳购买价格组合。

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