Low-Carbon Optimal Operation of an Integrated Electricity-Heat Energy System in Electric Energy and Spinning Reserve Market

doi:10.16183/j.cnki.jsjtu.2021.297

Abstract

Abstract:

A day-ahead optimal decision-making model is established for an integrated electricity-heat energy system to participate in both the electric energy market and the spinning reserve market, and the step-by-step carbon trading is introduced into the proposed model. The conditional value at risk method is used to manage the uncertainty risk of renewable energy and electrical load. With the objective to minimize the operation scheme cost and carbon emission cost, an operation plan is developed and the reserve resources are arranged for the integrated electricity-heat energy system. The results of a case study show that the proposed model improves the reliability, economy, and low-carbon level by taking the complementary advantages of the integrated energy system and reasonably arranging reserve resources to deal with the risks caused by uncertain factors.

Key words: electric energy market, spinning reserve market, energy storage, risk aversion, low-carbon optimal operation

CLC Number:

TM732

JIANG Ting, DENG Hui, LU Chengyu, WANG Xu, JIANG Chuanwen, GONG Kai. Low-Carbon Optimal Operation of an Integrated Electricity-Heat Energy System in Electric Energy and Spinning Reserve Market[J]. Journal of Shanghai Jiao Tong University, 2021, 55(12): 1650-1662.

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模型编号	电能量市场收益/欧元	旋转备用市场收益/ 欧元	MT和 FC成本/ 欧元	CHP机组成本/ 欧元	锅炉成本/ 欧元	储能成本/ 欧元	DR成本/ 欧元	碳交易成本/欧元	碳排放量/t	CVaR/ 欧元	总收益/ 欧元
1	-4242.77	120983.34	5734.82	2697.99	1947.66	1004.55	976.41	909.56	918.33	—	99230.48
2	-5951.53	120947.99	4301.35	2706.44	1746.37	991.92	976.52	188.71	857.61	—	99712.72
3	-4935.42	120713.24	6000.63	2650.66	2040.06	991.98	944.67	930.4	923.61	42748.05	124511.26
4	-6546.11	121121.77	5184.85	2631.99	1945.57	1077.63	954.65	202.21	881.69	39123.7	127679.36