摘要
针对风储电站参与电力现货市场竞价与运行计划制定的问题,考虑到风电出力和电力现货市场价格的不确定性建立模型。所建立的模型采用两阶段优化方式,其中第一阶段优化计及风储电站收益以及运维成本和不平衡功率惩罚费用,以风储电站利润最大化建立其目标函数,考虑系统功率平衡约束,储能运行相关约束等约束条件,采用随机机会约束规划理论建立其模型,得到风储电站竞价策略以及基于该策略的期望运行计划。第二阶段基于中标信息,采用相同原理对风储电站日前运行计划进行制定。针对模型的不确定性,采用不确定函数模拟来计算概率形式目标函数和约束条件的置信度,并采用混沌粒子群算法对所建立的模型设计求解流程。最后通过算例验证所建立模型的正确性和有效性。
To solve the problem of wind-storage power plant bidding and operation strategy participating in spot electricity market, a model was established considering uncertainty of wind power output and spot electricity market price. The model was optimized in two stages. In the first stage, taking into account the benefits of wind storage power plant, operation and maintenance costs and unbalanced power penalty costs, an objective function was established to maximize the profits of the wind-storage power plant. Considering the constraints of system power balance and energy storage operation, the stochastic chance constrained programming theory was used to establish the model, and the bidding strategy of the wind-storage power plant and the expected operation based on the strategy were obtained. In the second stage, based on the winning bidding information, the same principle was used to formulate a day-ahead operation plan of the wind-storage power plant. Aiming at uncertainty of the model, uncertain function simulation was carried out to calculate the confidence of probability objective function and constraints, while chaotic particle swarm optimization was used to design the solving process of the model. Finally, case study was performed to verify correctness and validity of the model.
作者
德格吉日夫
谭忠富
李梦露
杨莘博
马佳乐
谭清坤
张晨
DE Gejirifu;TAN Zhongfu;LI Menglu;YANG Shenbo;MA Jiale;TAN Qingkun;ZHANG Chen(School of Economic and Management, North China Electric Power University, Changping District, Beijing 102206, China;State Grid Energy Research Institute Co., Ltd., Changping District, Beijing 102209, China)
出处
《电网技术》
EI
CSCD
北大核心
2019年第8期2799-2807,共9页
Power System Technology
基金
国家自然科学基金项目(71573084)
教育部哲学社会科学重大课题攻关项目(18JZD032)
中央高校基本科研业务费专项资金资助项目(2019QN067)~~
关键词
风储电站
电力现货市场
竞价策略
随机机会约束规划
混沌粒子群
wind-storage power plant
electricity spot market
bidding strategy
stochastic chance constrained programming
chaotic particle swarm optimization
作者简介
通信作者:德格吉日夫(1988),男,博士研究生,研究方向为电力市场、综合能源系统优化,E-mail:dove@ncepu.edu.cn;谭忠富(1964),男,教授,博士生导师,研究方向为电力能源经济;李梦露(1995),女,硕士研究生,研究方向为电力能源经济;杨莘博(1995),女,博士研究生,研究方向为电力能源经济;马佳乐(1995),男,硕士研究生,研究方向为电力能源经济;谭清坤(1988),男,博士,研究方向为电力能源经济;张晨(1988),女,博士,研究方向为电力能源经济。
