基于源-网-荷-储一体化园区电能规划设计方案优化研究

为提升能源清洁利用水平和电力系统运行效率,解决一体化园区项目电源规模及储能容量配置等问题,文中基于园区内用电负荷历史数据,在分析月用电负荷和日用电负荷的特性基础上,结合新建风电和光伏工程设计方案,依托存量火电出力特性,优化电化学储能配置,实现园区内用电平衡,提出以运行成本及新能源消纳为优化目标,以多种能源运行特性为约束...     

区域级综合能源系统多能耦合优化研究

综合能源系统是未来能源消费方式的重要发展方向,按照不同能源品味的高低进行综合互补利用,以取得最合理的能源利用效果和经济环保效益显得至关重要。从功能模块、子系统、区域级综合能源系统三个层级进行模型构建,在合理配置多种功能模块的基础上进行各子系统和综合能源系统的能量平衡计算,建立能耗目标、经济目标、环保目标三种单一目标以及由此任意组合得到的多目标评价指标,制定多能耦合优化策略,实现综合能源系统设计中的方案配置优化。     

计及多能转化效率的区域综合能源系统协同优化模型研究

园区能源应用过程中会出现单一能源系统在各类型能源之间的利用效率低和运营成本高等问题,亟待构建一套考虑P2G设备、CCHP联供设备和电制冷机等多源系统的综合能源系统。基于设计的综合能源系统多源协同优化运行结构,设定多个优化目标函数,包括投资收益率最大化、碳减排率最大化和弃能率最小化,采用多目标粒子群求解算法对模型进行求解。算例结果表明：当多能能源转换设备参与系统中进行协同运行时,会造成机组的折旧成本不断增加,从而导致园区综合能源系统的净效益有一定的增加;电转换设备能够有效降低弃能量,提高了碳减排率。     

计及需求响应的微电网“源-储-荷”两级协调运行优化模型

微电网的协调运行不仅要考虑整体最优化,也应兼顾微电网内部主体的经济效益最大化。文章计及用户需求响应和相关组件约束,建立了微电网"源-储-荷"两级协调运行的双层优化模型;上层规划模型以负荷转移策略前后的相对效益最大化为目标,下层规划模型以发电侧经济效益最大化为目标;以某微电网作为算例,验证了模型的有效性和合理性。仿真结果表明,可控负荷和储能系统的参与,可增强微电网的灵活性,减小负荷峰谷差;通过两级协调规划,有效地提高了微电网的整体综合效益和发电侧收益。     

电力系统源-网-荷-储协调水平综合评价方法研究

在源-网-荷-储协调优化成为电力系统发展趋势的背景下,对系统协调水平进行全面、合理的评估有利于把握影响系统协调能力的关键环节,指导规划方案的优化.首先,分析源-网-荷-储协调运行背景下,影响系统协调能力的不确定性因素,构建计及多主体交互的分层级评价指标体系;然后,建立各指标数学模型,提出基于AHP-Delphi赋权法的...     

多能源互联系统优化运行与控制技术研究现状与前景展望

针对多能源互联系统的运行与控制这一能源互联网发展的核心技术问题,从多能源微网概念、微网潮流分析与控制、多能源互联系统能量潮流模型、多能源系统运行优化和能源路由器与能源路由策略等方面,阐述了当前国内外已开展的有关研究,并进行分析和总结,提出和探讨了微网、多能源互联系统与能源路由器运行分析与控制领域的技术内涵和技术特征。     

基于典型场景集的智能园区多能源微网多目标配置优化研究

构建面向智能园区的多能源微网是实现不同类型物理能源系统耦合,提高可再生能源终端能源消费占比的重要途经。通过制定恰当的多能源微网规划,对于保证多能源微网项目投资收益以及推动多能源微网有序发展具有重要意义。鉴于此,该文以园区级多能源微网为研究对象,在利用隐马尔可夫构建典型场景集以压缩系统历史数据的基础上,构建多能源微网配置多目标优化模型架构,并利用某园区实际负荷数据和分布情况,对比分析不同情景下2种不同配置方案的结果和优劣势,定量阐述了多能源微网在降低系统排放强度和系统投资成本方面的优势。     

源荷两端不确定性的跨区系统运行策略研究

针对传统跨区互联导致的源端可再生能源无法消纳而引起的大规模弃风弃光现象,建立一个计及源荷两端不确定性的动态环境经济跨区调度模型。该模型考虑各区域的发电成本及污染气体排放成本,将联络线作为可调资源,在保证各区域安全稳定运行的前提下,利用概率密度函数描述发、用电功率的不确定性,使模型更贴合实际生产。同时针对模型特点,提出基于滤子技术的自适应蝴蝶算法对其进行求解。算例仿真结果表明：当可再生能源渗透率达到40%时,较小的柔性负荷占比对系统调度成本影响显著,且也能显著改善污染排放;研究结果兼顾调度成本最小的同时减少污染排放,具有一定理论指导意义。     

基于合作博弈的综合能源系统电-热-气协同优化运行策略

在"双碳"背景下,为有效提高综合能源系统(IES)的能源利用率,减少碳排放量,同时提升系统运行的灵活性,提出一种基于合作博弈的IES优化运行模型.首先构建IES框架,针对电转气(P2G)、碳捕集、燃气轮机、热储能等设备进行建模;其次考虑系统内各主体之间存在协同合作的可能,将系统内各运营主体分为三方构建合作联盟,阐述能源...     

An inexact optimization model for regional energy systems planning in the mixed stochastic and fuzzy environment

In this study, an interval‐parameter superiority–inferiority‐based regional energy management model has been developed for supporting regional energy management (REM) systems planning under uncertainty. This method is based on an integration of the existing interval mathematical programming, superiority–inferiority‐based fuzzy–stochastic programming and mixed integer linear programming techniques. It can explicitly address the system uncertainties that can be expressed as fuzzy‐random variables and/or interval numbers. In addition, dynamic interrelationships among system parameters can be successfully reflected through the introduction of fuzzy‐random variables and the associated transition probabilities. The developed method has then been applied to a case of long‐term REM planning. Useful solutions for the planning of energy management systems have been generated, which can be used for generating decision alternatives and thus help resource managers identify desired policies under various economic and system‐reliability constraints. The generated solutions can also provide desired plans for energy resource/service allocation and facility capacity expansion with a minimized system cost, maximized system reliability and maximized energy security. Tradeoffs between system costs and constraint‐violation risk levels can also be tackled. Higher costs will increase system stability, while a desire for lower system costs will run into a risk of potential instability of the management system. The results also suggest that the proposed methodology is applicable to practical problems that are associated with uncertain information. Copyright © 2008 John Wiley & Sons, Ltd.     

适应能源互联网多主体合作共享的区块链交易平台

随着售电侧的放开,配电网中接入了大规模小容量的分布式发电单元,形成了如微电网、综合能源服务商和虚拟电厂等多类型市场主体.由于分布式能源大规模接入,能源互联网下的能源市场与传统的输电网也有所区别,正朝着主体多元化、结构扁平化、商品多样化的方向发展,最终形成多方的竞争性市场机制和灵活性市场环境.因此针对上述背景,本文分析了...     

江苏沿海应用能源互联技术的意义分析

在我国能源革命大背景之下,能源互联是发展清洁、低碳、安全、高效、现代能源体系的重要途径。从江苏沿海地区构建现代能源体系的需求以及大量可再生能源的资源禀赋出发,分析了应用高比例分布式能源利用方式以及能源互联网相关技术的重要意义,即提高分布式能源比例是江苏沿海地区可再生能源利用的最佳方式,加强能源互联网建设是江苏沿海地区增量配电网的重要技术路径。研究指出沿海地区应大力发展能源互联技术,并给出发展能源互联技术的步骤建议。     

Smoothing ramp events in wind farm based on dynamic programming in energy internet

The concept of energy internet has been gradually accepted, which can optimize the consumption of fossil energy and renewable energy resources. When wind power is integrated into the main grid, ramp events caused by stochastic wind power fluctuation may threaten the security of power systems. This paper proposes a dynamic programming method in smoothing ramp events. First, the energy internet model of wind power, pumped storage power station, and gas power station is established. Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programming problem, and the dynamic programming method proposed is applied to solve the optimization problem. Finally, the evaluation functions are introduced to evaluate pollutant emissions. The results show that the dynamic programming method proposed is effective for smoothing wind power and reducing ramp events in energy internet.     

The dynamics of United Kingdom regional energy demand

Differences in regional energy-elasticities may be caused by relative differences in primary energy sources and endowments but they may also arise from differences in economic structure and/or consumption behaviour. This paper examines some long-run energy demand relationships across three sectors — domestic, industrial/commercial and transport in Scotland, Northern Ireland and the United Kingdom as a whole. The use of cointegration and error correction techniques uncovers differences in dynamic response between the energy-rich Scottish region and the energy-poor Northern Ireland region. There are significantly lower short-run price-elasticities in all sectors in Northern Ireland than in Scotland and the United Kingdom overall, whereas the income-elasticities in the energy-poor region are larger.     

能源供需优化模型在北京市能源系统的应用

依据北京市“十一五”时期发展规划,立足于北京市目前能源消费现状,创建了能源供需优化模型,旨在满足能源需求、环境允许的前提下使得系统能源费用最小化。采用了区间线性优化方法,对已知上下界但其分布未知的参数用区间数表示,最后得出规划期的三个周期内八种能源的产出调入量以及各个周期的总费用,并对目前北京市能源消费中存在的问题提出了几点建议。     

可再生能源电厂并网对地区电网的影响

生物质能发电、风电、水电等可再生能源机组的并网将改变地区原有的电力系统的特性.文章从地区电网的动态稳定性、供电可靠性、调度运行、网供负荷预测、电能质量等方面就可再生能源电厂并网对地区电网的影响进行了分析,对如何消除不利影响,实现电网安全、稳定、经济地运行,提出了一些对策.     

Decoupling optimization of integrated energy system based on energy quality character

Connections among multi-energy systems become increasingly closer with the extensive application of various energy equipment such as gas-fired power plants and electricity-driven gas compressor. Therefore, the integrated energy system has attracted much attention. This paper establishes a gas-electricity joint operation model, proposes a system evaluation index based on the energy quality character after considering the grade difference of the energy loss of the subsystem, and finds an optimal scheduling method for integrated energy systems. Besides, according to the typical load characteristics of commercial and residential users, the optimal scheduling analysis is applied to the integrated energy system composed of an IEEE 39 nodes power system and a 10 nodes natural gas system. The results prove the feasibility and effectiveness of the proposed method.     

Modeling and daily operation optimization of a distributed energy system considering economic and energy aspects

This paper presents a distributed energy system (DES) for a local district and formulates a constrained nonlinear multiobjective optimization model for the daily operation of the system. The main objective of the study is to increase the efficiency by minimizing energy cost, energy consumption, and energy losses. It is implemented through the integration and complementation of renewable energies and fossil fuels as well as the recycling utilization of waste heat in the DES. The consideration of network topology and energy losses of water heating network could also contribute to the improvement of energy efficiency. To solve the optimization problem, a novel Whale Optimization Algorithm is employed. Furthermore, the economic and energy performance of the DES are evaluated and compared with that of conventional centralized energy systems, ie, the EG and MG energy‐supply modes. After simulation studies, the hourly optimal energy (both natural gas and electricity) purchasing schedule as well as the hourly optimal set points of mass water flow rates and supply/return water temperatures could be determined. The results show that the DES saves more than 50% of energy costs/energy consumption than the MG mode and over 22% than the EG mode for a whole day, verifying the competitive advantage and great potential of both energy saving and cost reduction of the DES.     

临钢煤气利用与节能降耗

通过对临钢煤气利用情况进行分析 ,提出了临钢在副产煤气利用方面如何做好节能降耗工作。