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Inter-Provincial Transaction Model in Two-Level Electricity Market Considering Carbon Emission and Consumption Responsibility Weights
1 Electric New Power System Technology Research Institute, The Electric Power Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi, 830000, China
2 Power Dispatch Control Center, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, 830063, China
3 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, 200090, China
* Corresponding Author: Ming Li. Email:
Energy Engineering 2023, 120(10), 2393-2416. https://doi.org/10.32604/ee.2023.028574
Received 26 December 2022; Accepted 19 April 2023; Issue published 28 September 2023
Abstract
In the context of the joint operation of China’s intra-provincial markets and inter-provincial trading, how to meet the load demand and energy consumption using inter-provincial renewable energy trading is a key problem. The combined operation of intra-provincial and inter-provincial markets provides a new way for provincial power companies to optimize and clear the intra-provincial power market, complete the intra-provincial consumption responsibility weight index, and consume renewable energy across provinces and regions. This paper combines power generation and consumption within the province, uses inter-provincial renewable energy trading to meet the load demand within the province and completes the index of intra-provincial consumption responsibility weights. The intra-provincial market trading and inter-provincial market clearing are respectively taken as the upper and lower levels of the model. Under the two-level electricity market operation framework, the upper-level model aims to minimize the expected total operating cost within the province considering the carbon emission cost and the weight of the consumption responsibility, while the lower-level model aims to minimize the inter-provincial renewable energy purchasing cost. Finally, the influence of inter-provincial transaction mechanism, risk aversion coefficient, voucher price, and responsibility weight on operating cost is analyzed. Simulation is used to verify that the proposed model can meet the requirements of the provincial load power consumption and the consumption responsibility weight index, and promote the consumption of renewable energy.Keywords
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