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基于卖方灵活电力合约的风电合同交易机制
引用本文:肖云鹏,王锡凡,王秀丽,杜超,滕卫军. 基于卖方灵活电力合约的风电合同交易机制[J]. 电力系统自动化, 2016, 40(5): 38-44
作者姓名:肖云鹏  王锡凡  王秀丽  杜超  滕卫军
作者单位:西安交通大学电气工程学院
基金项目:国家电网公司科技项目(DZN17201300045)~~
摘    要:考虑风电的不确定性及系统供需互动,提出了基于卖方灵活电力合约的规定浮动电力区间的风电合同。推导购售电双方参与竞价交易及合同交易的效用模型,得到基于合同交易机会成本定价下各自可接受的合同价格,并通过场外协商经系统安全校核完成合同制定。风电商可在合同交易的同时参与竞价市场交易,或利用发、用电权交易协议组成供需多方联盟减弱风电不确定性造成的效用降低。算例采用蒙特卡洛法模拟求解,验证了所提方法的有效性,分析了风电合同价格的影响因素,证明了风电合同能够提升交易各方的效益。

关 键 词:风电交易  风电合同  供需互动  合同定价  机会成本
收稿时间:2015-04-26
修稿时间:2015-12-25

A Wind Power Contract Trading Mechanism Based on Seller-side Flexible Electricity Contract
XIAO Yunpeng,WANG Xifan,WANG Xiuli,DU Chao and TENG Weijun. A Wind Power Contract Trading Mechanism Based on Seller-side Flexible Electricity Contract[J]. Automation of Electric Power Systems, 2016, 40(5): 38-44
Authors:XIAO Yunpeng  WANG Xifan  WANG Xiuli  DU Chao  TENG Weijun
Affiliation:XIAO Yunpeng;WANG Xifan;WANG Xiuli;DU Chao;TENG Weijun;School of Electrical Engineering,Xi’an Jiaotong University;
Abstract:By taking uncertainties of wind power and supply-demand interaction into account, a wind power contract with a limited floating range of power exchange based on seller-side flexible electricity contract is proposed. The utility functions of both purchasing and selling sides in the spot market and contract trading are derived, and acceptable price ranges of contract based on the opportunity costs of contract trading are generated. The contract is finally formulated by over-the-counter negotiation and system security check. The wind power producer can participate in the bidding market while signing contract with customers, or mitigate the utility reduction from wind power uncertainties through multi-part alliance formed in the power generation or consumption rights trading. The numerical example is solved by the Monte Carlo simulation. The effectiveness of the method is verified, and the factors affecting the contract price are analyzed. Results show that the contract trading of wind energy can improve the profitability of all trading participators. This work is supported by State Grid Corporation of China (No. DZN17201300045).
Keywords:wind power trading   wind power contract   supply-demand interaction   contract pricing   opportunity cost
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