Distributed generation planning for diversified participants in demand response to promote renewable energy integration

Distributed generation planning for diversified participants in demand response to promote renewable energy integration
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需求响应多元化参与者分布式发电规划,促进可再生能源并网

DOI:
10.1007/s40565-019-0506-9
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发表时间:
2019-03
影响因子:
6.3
通讯作者:
Xiuli Wang
Xiuli Wang
中科院分区:
工程技术2区
文献类型:
--
作者:
Can Dang;Xifan Wang;Chengcheng Shao;Xiuli Wang

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在现代配电系统中,配电系统运营商(DSO)既是市场促进者和数据管理者,又是能源供应商和运行控制者。在这种情况下,分布式发电企业在进行分布式发电投资决策时,应综合考虑现代配电系统的多元化参与者。本文提出了一种考虑多元参与者行为的DG规划模型,激励参与者与分布式可再生能源合作,促进其整合,以实现DG投资的最优方案。优化模型采用集中式结构,但充分考虑了聚合者和消费者的偏好、利润和舒适度。将该模型线性化为一个混合整数线性规划(MILP)问题,并用CPLEX进行求解。案例研究结果表明,当DSO向聚合商和消费者提供补贴以鼓励他们参与需求响应(DR)计划时,与不提供补贴相比,它获得的收益更高。在一定范围内,随着补贴的增加,企业的总利润增加,超过该范围后,企业的总利润减少。因此,DSO需要谨慎选择补贴水平,以实现可再生能源的最优利用和需求灵活性。根据所建立的模型推导出最优补贴水平。因此,本文提出了一种分布式可再生能源利用的新模式,为政策制定和DR项目实施提供指导。
In modern distribution system, the distribution system operator (DSO) acts as a market facilitator and data manager as well as an energy supplier and operation controller. In this circumstance, the DSO should comprehensively consider the diversified participants of the modern distribution system when making investment decisions of distributed generation (DG). This paper proposes a DG planning model considering the behavior of the diversified participants, which are motivated to cooperate with distributed renewable energy resources to promote their integration, and to achieve the optimal DG investment plan. The optimization model takes a centralized structure but fully considers the preferences, profits and comfort levels of the aggregators and consumers. The model is linearized into a mixed-integer linear programming (MILP) problem and is solved by CPLEX. Results of the case study show that when the DSO spares subsidies to the aggregators and consumers to encourage their participation in demand response (DR) programs, it earns more compared with providing no subsidies for DR participation. It is also demonstrated that the overall profit increases as the subsidies increase within a certain range, but decreases when the subsidies exceed this range. Therefore, the DSO needs to carefully choose the subsidization level to achieve the optimal utilization of renewable energy and demand flexibility. The optimal subsidization level is derived from the model proposed in this paper. Therefore, this paper puts forward a new pattern to utilize the distributed renewable energy sources, and provides guidance in policy making and DR program implementation.
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