王晛, 张凯, 张少华, 汪飞. 风电参与投标竞争的多能源市场博弈分析[J]. 太阳能学报, 2021, 42(1): 279-285. DOI: 10.19912/j.0254-0096.tynxb.2018-0860
引用本文: 王晛, 张凯, 张少华, 汪飞. 风电参与投标竞争的多能源市场博弈分析[J]. 太阳能学报, 2021, 42(1): 279-285. DOI: 10.19912/j.0254-0096.tynxb.2018-0860
Wang Xian, Zhang Kai, Zhang Shaohua, Wang Fei. GAME ANALYSIS OF MULTI-ENERGY MARKETS CONSIDERING WIND POWER BIDDING[J]. Acta Energiae Solaris Sinica, 2021, 42(1): 279-285. DOI: 10.19912/j.0254-0096.tynxb.2018-0860
Citation: Wang Xian, Zhang Kai, Zhang Shaohua, Wang Fei. GAME ANALYSIS OF MULTI-ENERGY MARKETS CONSIDERING WIND POWER BIDDING[J]. Acta Energiae Solaris Sinica, 2021, 42(1): 279-285. DOI: 10.19912/j.0254-0096.tynxb.2018-0860

风电参与投标竞争的多能源市场博弈分析

GAME ANALYSIS OF MULTI-ENERGY MARKETS CONSIDERING WIND POWER BIDDING

  • 摘要: 在能源互联网框架下,利用电、气等多能源互补特性有助于缓解风电等可再生能源随机波动的不利影响。为弥补风电开发商在日前市场的投标偏差,首先给出一个考虑电力与天然气等多种能源的市场交易框架,其中参与日前电力市场竞争的风电开发商分别通过电转气(P2G)设备和燃气机组进行能源转换,处理风电实际出力过剩和不足这2种情况。然后建立风电开发商参与投标竞争的日前电力市场与天然气市场博弈模型,其中风电开发商、传统发电商和天然气生产商均以供应函数投标方式参与多能源市场竞争。最后,通过算例分析验证了理论模型的有效性。

     

    Abstract: Under the background of the Energy Internet,the complementarity between power system and natural gas system provides an alternative solution for mitigating the adverse effects of random fluctuations in wind power and other renewable energy sources. First,a coupled electricity and natural gas markets framework is proposed to counterbalance WPP’s bid deviations. In the framework,the WPP is considered to own P2G facilities and gas-fired units to implement energy conversion. And the excess electricity is converted to gas through power to gas(P2G)technologies by WPP when its actual output is greater than the bid output,while the gas-fired units are applied when its actual output is less than the bid output. Based on the market framework,a joint equilibrium model of the day-ahead electricity market and the gas market is proposed. In this model,the supply function bid form is applied by WPP,conventional power producers and gas producers to participate in multi-energy market competition. Finally,numerical studies are applied to verify the efficacy of the proposed model.

     

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