| 黄媚,孙晓佳,詹隽,陈作伟,李扬,孙文静.考虑碳交易和需求响应的工业园区优化运行方法[J].电力需求侧管理,2026,28(2):93-99 |
| 考虑碳交易和需求响应的工业园区优化运行方法 |
| Optimized operation method for industrial parks considering carbon trading and demand response |
| 投稿时间：2025-11-10 修订日期：2026-01-10 |
| DOI：10.3969/j.issn.1009-1831.2026.02.014 |
| 中文关键词: 工业园区 需求响应 优化运行 碳交易 |
| 英文关键词: industrial park demand response optimized operation carbon trading |
| 基金项目:南方电网有限责任公司科技项目(090000KC22120002) |
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| 中文摘要: |
| 针对现有对于工业园区的调控较少平衡碳排放、经济效益、电网平衡的多目标协同,提出一种考虑碳交易和需求响应的工业园区优化调度方法。首先,针对实际电力市场的碳交易价格机制,构建改进的阶梯式碳交易机制,激励资源运行低碳化。其次,针对园区内灵活资源的海量性和异质性,建立可调资源响应数学模型,刻画资源响应行为及成本特性。进一步构建工业园区优化运行模型,以经济效益和碳排放量为优化目标,进行多资源协同调度,充分利用资源互补特性。最后,采用多目标粒子群和综合隶属度方法进行多目标求解。算例结果表明所提方法在工业园区领域的应用具有重要价值。 |
| 英文摘要: |
| Existing regulation methods for industrial parks seldom balance the multi-objective synergies among carbon emissions, economic benefits, and power grid balance. Therefore, an optimized scheduling method for industrial parks that considers carbon trading and demand response is proposed. Firstly, an improved stepped carbon trading mechanism is constructed based on the carbon trading price mechanism in the actual electricity market to incentivize low-carbon operation of resources. Secondly, in response to the massive and heterogeneous nature of flexible resources within the park, a mathematical model of adjustable resource response is established to depict resource response behavior and cost characteristics. Furthermore, an optimized operation model for industrial parks is constructed, with economic benefits and carbon emissions as the optimization objectives, to perform multi-resource collaborative scheduling and fully leverage resource complementarity. Finally, a multi-objective particle swarm optimization (MOPSO) algorithm and a comprehensive membership degree method are adopted to seek multi-objective solutions. The case study results demonstrate the significant value of the proposed method in industrial parks. |
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