基于碳交易和绿证交易的多能源电力调度方法研究OA
Research on multi-energy power dispatching method based on carbon trading and green certificate trading
双碳目标的提出,促进了电力调度向低碳转换,针对现有多能源电力调度方法难以兼顾经济性和低碳性的问题,提出一种考虑碳交易和绿证交易的多能源电力调度方法,通过高耗能企业消纳受阻风光的双层模型.上层模型以碳排放量交易成本、绿证交易成本和系统运行成本最低为目标构建,下层模型以高耗能企业利润增量最大为目标构建.通过改进的哈里斯鹰算法求解上层模型,将得到的数据传递给下层模型,在通过改进粒子群算法求解下层模型.通过算例分析验证所提多能源电力调度方法的可行性.结果表明,所提方法可以较好地兼顾经济性和低碳性,系统总成本335.08 万元,系统碳排放1 358.02 t.可为双碳目标实现提供一定的助力.
The proposal of the carbon peaking and carbon neutrality target has promoted the transition of power dis-patching to low-carbon.In response to the problem that existing multi energy power dispatching methods are diffi-cult to balance economic and low-carbon aspects,a multi-energy power dispatching method is proposed that consid-ers carbon trading and green certificate trading,using a dual layer model for high energy consuming enterprises to absorb obstructed wind and solar energy.The upper level model is constructed with the goal of minimizing carbon e-mission trading costs,green certificate trading costs,and system operating costs,while the lower level model is constructed with the goal of maximizing profit increment for high energy consuming enterprises.The upper level model is solved through the improved Harris Eagle algorithm,and transfers the obtained data to the lower level model,and solves the lower level model through the improved particle swarm algorithm.The feasibility of the pro-posed multi energy power dispatching method is verified through case analysis.The results show that the proposed method can effectively balance economic and low-carbon aspects,with a total system cost of 3.3508 million yuan and a carbon emission of 1 358.02 tons,which can provide certain assistance for achieving the dual carbon goal.
吴若冰;杨茗;杨铮宇
云南电网有限责任公司信息中心,昆明 650000云南电网有限责任公司计量中心(电力负荷控制技术中心,昆明 650000云南电网有限责任公司,昆明 650000
信息技术与安全科学
双碳目标电力调度哈里斯鹰算法粒子群算法高耗能企业
carbon peaking and carbon neutrality targetpower dispatchingHarris Eagle algorithmparticle swarm optimization algorithmhigh energy consuming enterprise
《电测与仪表》 2026 (3)
14-21,8
南方电网科技项目(YDKJ23030061)
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