以提升新能源消纳能力和系统低碳运营为目标,在电-碳-绿证市场交易环境下,考虑能量共享模式,构建火电、风电、光伏及抽水蓄能联盟运营机制。首先,基于混合整数线性规划（MLP）方法,优化各发电主体在不同时段的出力策略;其次,在联盟内部构建多对多的能量共享匹配模型,以提升资源配置效率。此外,在收益分配方面,采用多因素Shapley值法,分析不同算法下联盟内各主体的收益变化。研究结果表明,多能联盟的能量共享匹配机制有效提升联盟在多元市场中的经济收益,降低系统碳排放水平。同时,通过多市场协同优化,提高风电和光伏的消纳能力,减少弃风弃光现象。在电-碳-绿证市场环境下,多能联盟的协同优化运营模式能够有效提升新能源消纳能力、优化收益分配,并促进低碳转型。
Abstract
With the goal of enhancing new-energy consumption capacity and achieving low-carbon operation of the system, in the trading environment of the electricity-carbon-green certificate market, considering the energy sharing model, an operation mechanism for the alliance of thermal power, wind power, photovoltaic power, and pumped-storage energy has been constructed. Firstly, based on the mixed integer linear programming （MILP） method, optimize the output strategies of each power generation entity at different time periods. Secondly, build a many to many energy sharing matching model within the alliance to improve resource allocation efficiency. In addition, in terms of income distribution, the multi factor Shapley value method is used to analyze the income changes of each entity within the alliance under different algorithms. The research results indicate that the energy sharing matching mechanism of the multi energy alliance effectively enhances the economic benefits of the alliance in a diversified market and reduces the level of system carbon emissions. At the same time, through multi market collaborative optimization, the consumption capacity of wind and solar power are improved, and the phenomenon of wind and solar power curtailment is reduced. In the electricity carbon green certificate market environment, the collaborative optimization operation mode of the multi energy alliance can effectively enhance the new energy consumption capacity, optimize revenue distribution, and promote low-carbon transformation.
关键词
电力市场 /
碳市场 /
绿证交易 /
能量共享 /
协同优化
Key words
electricity markets /
carbon markets /
green trading /
energy sharing /
synergistic optimization
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基金
安徽省高校协同创新项目（GXXT-2023-065）; 国网新疆电力有限公司科技项目（SGTYHT/23-JS-001-SGXJJJOOKJJS2400015）; 浙江泰仑电力集团有限责任公司科技项目（SGTYHT/20-JS-223-CF058401002023001）; 安徽科技学院人才引进项目（GLYJ202202）
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