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Optimal Offering of Demand Response Aggregation Company (DRACO) in Price Based Energy and Reserve Market Participation
IEEE Transactions on Industrial Informatics ( IF 12.3 ) Pub Date : 2018-02-01 , DOI: 10.1109/tii.2017.2726191
Srikanth Reddy Konda , Lokesh Kumar Panwar , Bijaya Ketan Panigrahi , Rajesh Kumar

This paper investigates the combined price-based scheduling/participation of generation company (GENCO) and demand response aggregation company (DRACO) in energy and reserve markets. The temporally coupled customer behavior can be better represented using the load profile attributes, when compared to the traditional approach with random willingness assignment. The proposed cost models for energy and reserve offerings consider the effect of load type, load pattern consumption, and availability/flexibility patterns of each type of load with time of use constraints. The load curtailment (LC) cost model accounts for criticality and willingness of the responsive loads via utilization factor and availability factors, respectively. The proposed cost models present a realistic picture of LC cost by eliminating the random willingness factor of the existing LC cost models. Thereafter, various cases of market participation with different reserve payment policies are formulated for combined participation of GENCO and DRACO. In addition, the sensitivity of participation decision of various entities to the seasonal load variation is examined for summer and winter loading profiles. The proposed cost models and scheduling framework is simulated using GENCO with ten thermal units and DRACO with various load types, profiles distributed across different load sectors comprising of commercial, residential, industrial, municipal, and agricultural loads. The combined participation resulted in improved market surplus with reduced GENCO surplus. Also, the energy and reserve market surplus dependence on seasonal load patterns is observed across different test cases and payment policies.

中文翻译:

基于价格的能源和储备市场参与中的需求响应集合公司(DRACO)的最优报价

本文研究了基于价格的发电公司(GENCO)和需求响应集合公司(DRACO)在能源和储备市场的组合调度/参与。与带有随机意愿分配的传统方法相比,使用负载配置文件属性可以更好地表示时间耦合的客户行为。拟议的能源和储备产品成本模型考虑了负载类型,负载模式消耗以及每种类型负载的可用性/灵活性模式的使用时间约束的影响。负载削减(LC)成本模型分别通过利用率和可用性因素说明了响应负载的重要性和意愿。拟议的成本模型通过消除现有LC成本模型的随机意愿因素,展示了LC成本的真实情况。此后,制定了具有不同准备金支付政策的各种市场参与案例,以供GENCO和DRACO共同参与。此外,针对夏季和冬季的负荷分布,检查了各个实体参与决策对​​季节性负荷变化的敏感性。使用具有十个热力单元的GENCO和具有不同负载类型,分布在包括商业,住宅,工业,市政和农业负载在内的不同负载扇区的分布图的DRACO,模拟了建议的成本模型和调度框架。共同参与导致市场盈余增加,而GENCO盈余减少。还,
更新日期:2018-02-01
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