| 需求响应下基于近似动态规划的气电联合系统经济调度 |
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| 引用本文： | 帅航,艾小猛,仉梦林,杨立滨,李湃,乐零陵,方家琨,文劲宇.需求响应下基于近似动态规划的气电联合系统经济调度[J].电力建设,2018,39(11):1-9. |
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| 作者姓名： | 帅航 艾小猛 仉梦林 杨立滨 李湃 乐零陵 方家琨 文劲宇 |
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| 作者单位： | 1.强电磁工程与新技术国家重点实验室（华中科技大学），武汉市 430074；2.青海省光伏发电并网技术重点实验室，西宁市 810000；3. 新能源与储能运行控制国家重点实验室（中国电力科学研究院有限公司），北京市 100192；4. 奥尔堡大学能源学院，丹麦奥尔堡 9220 |
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| 基金项目： | 国家自然科学基金项目（51707077）；国家电网公司科技项目（5228001600DX） |
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| 摘 要： | 气电联合系统协同运行能显著提高能源利用效率，其运行优化得到了广泛关注。文章建立了考虑需求响应（demand response，DR）的气电联合系统经济调度模型，并提出了基于近似动态规划（approximate dynamic programming， ADP）算法的联合系统经济调度策略。首先，采用粒子群（particle swarm optimization ，PSO）优化算法对用户侧的负荷曲线进行优化，从而最小化用户补偿费用和峰谷差率；随后建立线性化的气电联合系统运行模型，借助ADP算法求解。以Grave 6节点电力系统和14节点天然气网络进行仿真分析。仿真结果验证了所提模型和求解算法的有效性，考虑供需两侧的气电联合优化能提高能源利用效率。
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| 关 键 词： | 气电联合系统 经济调度 近似动态规划（ADP） 需求响应（DR） |
Economic Dispatch of the Integrated Gas and Power System Based on ADP under Demand Response |
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| SHUAI Hang,AI Xiaomeng,ZHANG Mengling,YANG Libin,LI Pai,LE Lingling,FANG Jiakun,WEN Jinyu.Economic Dispatch of the Integrated Gas and Power System Based on ADP under Demand Response[J].Electric Power Construction,2018,39(11):1-9. |
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| Authors: | SHUAI Hang AI Xiaomeng ZHANG Mengling YANG Libin LI Pai LE Lingling FANG Jiakun WEN Jinyu |
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| Affiliation: | 1.State Key Laboratory of Advanced Electromagnetic Engineering and Technology（Huazhong University of Science and Technology）， Wuhan 430074， China；2. Qinghai Province Key Laboratory of Grid-Connected Photovoltaic （PV） Technology， Xining 810000， China；3. State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems （China Electric Power Research Institute）， Beijing 100192， China；4. Department of Energy Technology （Aalborg University）， Aalborg 9220， Denmark |
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| Abstract: | The operation of integrated gas and power system （IGPS） can significantly improve the efficiency of energy usage， and its operation optimization has received extensive attention. In this paper， an optimal energy flow optimization model of IGPS considering demand response （DR） is established， and the ADP algorithm based economic dispatch policy is proposed for the integrated systems. Firstly， the particle swarm optimization （PSO） algorithm based load curve optimization policy which aims at minimizing the DR compensation cost and peak-to-valley difference rate of load is proposed. Secondly， the IGPS operation model is simplified as a linearized optimization model and approximate dynamic programming （ADP） is adopted. Simulation analysis is performed using a Grave 6-node power system and a 14-node natural gas network. The simulation results verify the validity of the proposed model and the solution algorithm， and show that considering both sides of supply and demand of IGPS can improve the energy efficiency of the integrated energy system. |
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| Keywords: | integrated gas and power system economic dispatch approximate dynamic programming demand response |
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