关键词: 电量分解, 中长期电力交易, 水库调度, 昆明电力交易中心, 云南省

Abstract: The decomposition of medium and long-term electricity trading plan is difficult to achieve the intended target due to uncertainty of daily load and inflow forecast. This paper presents a decomposition method of medium and long-term electricity trading plan in flood season. Based on the daily scale load and runoff forecast results, the load and inflow forecast information from the day to the end of the month are dynamically updated. Then, we construct a target function that is to minimize the maximum deviations of the completion degree between monthly accumulated power generation amount of the current day and the completion degree of system planned power generation amount. By adopting the target function, a power station set participating in power generation plan adjustment is generated, which can circularly correct the subsequent daily power generation plan. The practical behavior of the proposed method was demonstrated using 56 hydropower plants on the Lancang River, the Jinsha River, the Nujiang River, the Honghe River and the Yiluowadi River and so on. The results demonstrated that the proposed strategy could meet the demand of decomposing medium and long-term electricity trading plan of the Yunnan Power Exchange Center. It can effectively solve the practical problem that the decomposition of the current medium-term electricity trading plan is not closely connected with the upstream and downstream water balance of the cascade.

Key words: power generation decomposion, medium and long-term electricity trading, reservoir scheduling, Kunming Power Exchange Center, Yunnan Province