20222022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)Requires access

Electricity purchasing cost and power generation prediction

Hua Ke, Rong Cao, Xuedan Zhan, Gang Liu

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Abstract

The achievement of optimizing electricity-purchase and balancing the planned and actual power generation is significant for local sustainable development and safely stable power supply. This study first constructs an electricity purchasing cost model for analyzing how to optimize electricity purchasing costs by using the example of the State Grid Heilongjiang Electric Power Co., LTD. We found that influenced by relevant regulations, the key to optimize electricity purchasing costs is the differences between the electricity purchasing quantity and the actual demand. Second, considering that the electricity purchasing quantity is affected by local power generation capacities, we build power generation prediction models using the actual power generation data of Heilongjiang Province to provide practical implications for electricity purchasing decisions.

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What this paper is about

The achievement of optimizing electricity-purchase and balancing the planned and actual power generation is significant for local sustainable development and safely stable power supply. This study first constructs an electricity purchasing cost model for analyzing how to optimize electricity purchasing costs by using the example of the State Grid Heilongjiang Electric Power Co., LTD. We found that influenced by relevant regulations, the key to optimize electricity purchasing costs is the differences between the electricity purchasing quantity and the actual demand. Second, considering that the electricity purchasing quantity is affected by local power generation capacities, we build power generation prediction models using the actual power generation data of Heilongjiang Province to provide practical implications for electricity purchasing decisions.

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Available abstract

The achievement of optimizing electricity-purchase and balancing the planned and actual power generation is significant for local sustainable development and safely stable power supply. This study first constructs an electricity purchasing cost model for analyzing how to optimize electricity purchasing costs by using the example of the State Grid Heilongjiang Electric Power Co., LTD. We found that influenced by relevant regulations, the key to optimize electricity purchasing costs is the differences between the electricity purchasing quantity and the actual demand. Second, considering that the electricity purchasing quantity is affected by local power generation capacities, we build power generation prediction models using the actual power generation data of Heilongjiang Province to provide practical implications for electricity purchasing decisions.

Key concepts: Purchasing, Electricity, Electricity generation, Environmental economics, Electricity retailing, Stand-alone power system, Electricity market, Purchasing power

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