| 引用本文: | 梁政,马志程,魏震波,周强,邵冲,孙舟倍.电-热综合能源市场下的光热发电商运营优化与决策分析[J].电力自动化设备,2022,42(12): |
| LIANG Zheng,MA Zhicheng,WEI Zhenbo,ZHOU Qiang,SHAO Chong,SUN Zhoubei.Operation optimization and decision analysis of CSPS in electricity-heat integrated energy market[J].Electric Power Automation Equipment,2022,42(12): |
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| 摘要: |
| 针对当前太阳能利用效率较低和中国光热发电市场化交易程度较低，对光热发电商(CSPS)参与电-热综合能源市场的交易进行了研究。构建了含CSPS等多主体参与的电-热综合能源市场双层模型，其中上层为各主体的决策模型，下层为市场运营机构的统一出清模型，并采用非线性互补算法对该KKT条件模型进行求解。以中国某实际光热电站为例，在多类典型场景下，研究了市场类型、网络阻塞、光照变化等外部因素，以及储热容量这一内部因素对市场均衡及光热收益的影响，并给出了市场利润最大化条件下的最佳储热容量配置策略。结果表明：CSPS同时参与电力、热力市场时，相较于只参与电力市场，可以显著增加其利润，规避阻塞风险，提高太阳能利用效率，并且可以稳定市场价格，缓解电网阻塞，改善社会福利；在相同装机容量下，光热较传统光伏发电，市场竞争能力得到显著提升。 |
| 关键词: 光热发电 电-热综合能源市场 双层模型 均衡分析 非线性互补算法 |
| DOI：10.16081/j.epae.202204039 |
| 分类号:F123.9;TM73 |
| 基金项目:甘肃省科技重大专项计划(光热-光伏-风电新能源基地市场消纳和调度控制关键技术与示范应用)(19ZD2GA003) |
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| Operation optimization and decision analysis of CSPS in electricity-heat integrated energy market |
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LIANG Zheng1, MA Zhicheng2, WEI Zhenbo1, ZHOU Qiang2, SHAO Chong3, SUN Zhoubei1
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1.College of Electrical Engineering, Sichuan University, Chengdu 610065, China;2.Electric Power Research Institute, State Grid Gansu Electric Power Company, Lanzhou 730070, China;3.State Grid Gansu Electric Power Company, Lanzhou 730030, China
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| Abstract: |
| Aiming at the low solar energy utilization efficiency and the low degree of the market-oriented transaction of concentrated solar power in China, the study of CSPS(Concentrated Solar Power Supplier) participating in the transactions of electricity-heat integrated energy market is carried on. The bi-level mo-del of electricity-heat integrated energy market involving CSPS and other entities is constructed, in which the upper layer is the decision-making model of each market entity and the lower layer is the unified clearing model of market operating agency. And the nonlinear complementary algorithm is used to solve KKT condition model. Taking an actual concentrated solar power station in China as the example, in a variety of typical scenarios, the impacts of the external factors such as market type, network congestion, illumination variation, and the internal factors such as heat storage capacity on the market equilibrium and solar thermal revenue are studied, and the optimal allocation strategy of thermal storage capacity under the condition of maximizing market profit is given. The results show that compared with only participating in the electricity market, when CSPS participates in the electricity and heat market at the same time, its profit can be significantly increased, the risk of congestion can be avoided and the utilization efficiency of solar energy can be improved. Moreover, the market price can be stable and the network congestion can be alleviated so that improving social welfare. The concentrated solar power significantly improves market competitive ability in comparison of traditional photovoltaic with the same installed capacity. |
| Key words: concentrated solar power electricity-heat integrated energy market bi-level model equilibrium analysis nonlinear complementary algorithm |
