| 引用本文: | 陈艳波,王德帅,田昊欣,等.基于源荷储协调运行的电网可用输电能力优化方法[J].电力系统保护与控制,2024,52(23):119-134.[点击复制] |
| CHEN Yanbo,WANG Deshuai,TIAN Haoxin,et al.An optimal method for the available transfer capability of a power grid based on coordinated operation of source-load-storage[J].Power System Protection and Control,2024,52(23):119-134[点击复制] |
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| 摘要: |
| 充分利用灵活性资源的调节作用能够优化电网的可用输电能力(available transfer capability, ATC)，提高系统运行的安全性和经济性，因此提出一种计及源荷储多调节资源的两阶段随机动态ATC优化方法。首先，采用动态场景分析法对新能源出力不确定性建模，建立激励型需求响应模型和基于放电深度的储能等效循环寿命成本模型。其次，第一阶段构建日前两阶段源荷储随机优化经济调度模型，以优化结果作为基态，建立日前随机动态ATC计算模型以确定阻塞时段。然后，第二阶段构建日前随机动态ATC双层优化模型，上层以阻塞时段的ATC最大为目标，下层以基态运行成本最小为目标，上层确定储能和负荷响应情况与下层基态机组出力情况相互交互，采用Karush-Kuhn-Tucker(KKT)条件将下层模型转化以实现双层模型的求解。算例分析表明，通过优化源荷储运行方式能够在提升ATC的同时兼顾系统运行的经济性。 |
| 关键词: 可用输电能力 储能寿命模型 源荷储协调运行 两阶段优化模型 |
| DOI：10.19783/j.cnki.pspc.240324 |
| 投稿时间：2024-03-22修订日期：2024-05-09 |
| 基金项目:国家电网有限公司科技项目资助(5100-202155577A-0-5-SF) |
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| An optimal method for the available transfer capability of a power grid based on coordinated operation of source-load-storage |
| CHEN Yanbo1,WANG Deshuai1,TIAN Haoxin1,FAN Haiwei2,LI Jinsong3,LUO Yadi3 |
| (1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric
Power University, Beijing 102206, China; 2. State Grid Fujian Electric Power Co., Ltd., Fuzhou 350001, China;
3. China Electric Power Research Institute, Beijing 100192, China) |
| Abstract: |
| Making full use of the regulating role of flexible resources can optimize the available transfer capability (ATC) of the power grid and improve the safety and economy of system operation. A two-stage stochastic dynamic ATC optimization method considering multiple regulating resources of source-load-storage is proposed. First, dynamic scenario analysis is used to model the uncertainty of new energy output, and an incentive-based demand response model and an energy storage equivalent cycle life cost model based on depth of discharge are established. Secondly, in the first stage, a two-stage stochastic optimization economic dispatch model of source-load-storage is constructed, and the optimization result is used as the base state to establish a day-ahead stochastic dynamic ATC calculation model to determine the congestion period. Then, in the second stage, a day-ahead stochastic dynamic ATC bi-level optimization model is constructed, with the objectives of maximizing the ATC during the congestion period at the upper level and minimizing the base operating cost at the lower level. The interaction between the storage and load response conditions at the upper level and the base unit output conditions at the lower level is determined, and the lower-level model is transformed using Karush-Kuhn-Tucker (KKT) conditions to achieve the analysis of the bi-level model. Finally, the case study indicates that optimizing the operational mode of source-load-storage can not only enhance the ATC but also considers the economic efficiency of system operation. |
| Key words: ATC energy storage life model coordinated operation of source-load-storage two-stage optimization model |
