Low-carbon generation expansion planning considering uncertainty of renewable energy at multi-time scales

With the development of carbon electricity,achieving a low-carbon economy has become a prevailing and inevitable trend.Improving low-carbon expansion generation planning is critical for carbon emission mitigation and a lowcarbon economy.In this paper,a two-layer low-carbon expansion generation planning approach considering the uncertainty of renewable energy at multiple time scales is proposed.First,renewable energy sequences considering the uncertainty in multiple time scales are generated based on the Copula function and the probability distribution of renewable energy.Second,a two-layer generation planning model considering carbon trading and carbon capture technology is established.Specifically,the upper layer model optimizes the investment decision considering the uncertainty at a monthly scale,and the lower layer one optimizes the scheduling considering the peak shaving at an hourly scale and the flexibility at a 15-minute scale.Finally,the results of different influence factors on low-carbon generation expansion planning are compared in a provincial power grid,which demonstrate the effectiveness of the proposed model.

Power system planning with high renewable energy penetration considering demand response

Electric system planning with high variable renewable energy(VRE)penetration levels has attracted great attention world-wide.Electricity production of VRE highly depends on the weather conditions and thus involves large variability,uncertainty,and low-capacity credit.This gives rise to significant challenges for power system planning.Currently,many solutions are proposed to address the issue of operational flexibility inadequacy,including flexibility retrofit of thermal units,inter-regional transmission,electricity energy storage,and demand response(DR).Evidently,the performance and the cost of various solutions are different.It is relevant to explore the optimal portfolio to satisfy the flexibility requirement for a renewable dominated system and the role of each flexibility source.In this study,the value of diverse DR flexibilities was examined and a stochastic investment planning model considering DR is proposed.Two types of DRs,namely interrupted DR and transferred DR,were modeled.Chronological load and renewable generation curves with 8760 hours within a whole year were reduced to 4 weekly scenarios to accelerate the optimization.Clustered unit commitment constraints for accommodating variability of renewables were incorporated.Case studies based on IEEE RTS-96 system are reported to demonstrate the effectiveness of the proposed method and the DR potential to avoid energy storage investment.

Research on the development and planning of renewable energy in Tibet

With the rapid social and economic development of the Tibet Autonomous Region,the situation in regard to energy supply and demand is increasingly tense.Meanwhile,the development of renewable energy in Tibet has been given considerable practical significance by its peculiar ecological environment.Given the complementarity of renewable energies in Tibet,using the method of factor analysis,we derived four major factors:level of economic development,social development,industrial development,and energy endowment,which help to evaluate development conditions in different regions of Tibet.Treating these four factors equally,we used the hierarchical clustering method to determine the order of regional development.Thus we acquire a three-stage planning project for renewable energy.In the first stage,Lhasa plays a leading role in promoting the development of renewable energy,particularly that based on solar and wind energy.There are two phases in the second stage,the first being to simultaneously develop solar and wind energy in Xigaze and Nyingchi.The second is to develop solar and wind energy in accordance with the time of year in Qamdo,Nagqu,and Ali,with 1.145billion kWh electricity to be generated.The third stage is to develop energy production in Lhoka Prefecture,with 1.369billion kWh electricity to be generated.At the end of the three-stage project,consumption of available electricity will have reached 4.045 billion kwh,with major social and economic benefits.

Development Plan of New and Renewable Energy Industry in China for Year 2000-2015

This paper presents the guidelines and basic ideas for working out the development plan of new and renewable energy based upon China’s conditions, the foundation of industrialization development, targets of development for year 2000-2015 and the main tasks of industrialization system construction.

A GIS Methodology for Planning Sustainable Renewable Energy Deployment in Portugal

A Geographical Information System (GIS) methodology was developed to?identify and characterize suitable areas for deploying renewable energy projects. The methodology enables to compute the sustainable renewable energy potential in an area under study and can be implemented for different spatial scales, ranging from local to national levels, while operating with different restriction layers. This GIS-based method has been successfully applied to wind energy deployment studies in Continental Portugal and other foreign countries?(e.g. Venezuela, Mozambique among others). Results from several development plans using this methodology enable to conclude it is an adequate tool for planning sustainable renewable energy deployment both for onshore and offshore regions.

A Novel Bi-Level VSC-DC Transmission Expansion Planning Method of VSC-DC for Power System Flexibility and Stability Enhancement

Investigating flexibility and stability boosting transmission expansion planning(TEP)methods can increase the renewable energy(RE)consumption of the power systems.In this study,we propose a bi-level TEP method for voltage-source-converter-based direct current(VSC-DC),focusing on flexibility and stability enhancement.First,we established the TEP framework of VSC-DC,by introducing the evaluation indices to quantify the power system flexibility and stability.Subsequently,we propose a bi-level VSC-DC TEP model:the upper-level model acquires the optimal VSC-DC planning scheme by using the improved moth flame optimization(IMFO)algorithm,and the lower-level model evaluates the flexibility through time-series production simulation.Finally,we applied the proposedVSC-DC TEPmethod to the modified IEEE-24 and IEEE-39 test systems,and obtained the optimalVSCDC planning schemes.The results verified that the proposed method can achieve excellent RE curtailment with high flexibility and stability.Furthermore,the well-designed IMFO algorithm outperformed the traditional particle swarm optimization(PSO)and moth flame optimization(MFO)algorithms,confirming the effectiveness of the proposed approach.

传统村落空间的有机更新机制研究进展与展望

实现传统村落的有机更新是当下中国传统村落保护面临的核心问题,也是学术研究的热点。针对目前该方面文献注重实践案例分析、缺乏系统理论梳理与建构的情况,在已有文献的基础上进行研究回顾与展望。回顾传统村落空间有机更新研究的发展历程,从“有机更新”理论的基本内涵出发,在理论层面从主体协同性、模式适宜性、过程有序性3个维度梳理传统村落有机更新机制理论框架,在实践层面从相应的3个维度归纳传统村落有机更新机制的实现路径,总结现有研究存在的不足,从更新主体、更新模式、更新过程3个角度对后续研究进行展望,以期为传统村落有机更新的理论研究拓展思路。

基于EnergyPLAN模型的城市可再生能源应用规划研究

随着经济社会快速发展,能源应用与环境问题日益突出,以高比例可再生能源利用为主体的区域能源规划成为国内外研究热点。基于EnergyPLAN模型,以江苏省扬州市为研究对象,以当前能源消费、能源供给数据和城市政策规划目标为基础,以2035为目标,构建三种未来能源系统场景,定量分析目前发展模式下扬州可再生能源利用状况,并通过比较提出发展绿色城市能源应用规划的相关建议。

双碳背景下基于空间叠置分析的北京大栅栏街区交通更新策略探究

自20世纪80年代以来,中国城市更新工作方向主要针对某一衰落的街区或地块进行拆迁、改造、投资和建设,以改变其形态及功能使之重新焕发与繁荣。近年历史街区更新改造活动忽略了低碳交通引导的公共空间与基础设施领域的提升。为探索低碳交通在大栅栏历史文化街区更新提升中的实践性及可操作性,以大栅栏地区传统风貌评价方式对现状交通情况进行调研普查,并通过空间叠置的方法对所有街巷交通情况进行数据分析,并基于数据分析和街巷分类情况,提出可广泛应用于历史街区及周边协调区的低碳交通更新规划策略。

基于生态位理论的区域可再生能源发电项目竞争格局研究——以蒙西地区为例

优化可再生能源发电项目规划布局,对推动区域可再生能源产业高质量发展具有重要意义。为了科学测量区域各类可再生能源发电项目的竞争力水平,文章基于生态位理论构建了区域可再生能源发电项目生态位宽度、强度以及重叠度模型,并以蒙西地区为例,结合2022年可再生能源发电项目运行数据,对各盟市风电以及太阳能发电项目生态位进行测度分析。结果表明:蒙西地区可再生能源发电项目生态位“结构”与“规模”宽度不匹配,须要持续优化乌兰察布和巴彦淖尔等地区可再生能源装机结构和规模;“呼包鄂乌”地区可再生能源生态位强度较低,未来应考虑重点发展分布式可再生能源发电项目;乌海与蒙西其他盟市的生态位重叠度较低,表明乌海地区拥有较强的可再生能源开发潜力。研究结果可为区域可再生能源规划提供理论支撑,同时也能为能源投资企业的项目开发提供决策依据。

基于蚁群算法的智能路径规划

针对移动机器人在完成自身定位和地图构建后难以合理规划路径,造成移动机器人无序运动和资源浪费问题,文中采用蚁群算法实现移动机器人路径规划。蚁群算法是一种求解问题中最佳路径的概率型算法,但在通用蚁群算法中,蚁群算法的所有参数均不变,导致蚁群算法的结果依赖算法中设定的信息素参数。针对上述问题,对蚁群算法的参数和信息素的分配进行改进,通过在每次迭代中改变信息素挥发系数和信息素更新标准以及结合启发因素改进信息素更新标准。设置可调节信息素挥发因子增加算法的自适应性,根据有意义的参数空间,通过在不同环境下对比传统蚁群算法和改进蚁群算法的路径规划结果。改进蚁群算法路径长度分别下降4.48%和8.54%,均未产生路径交叉结点,较好地实现了移动机器人合理路径规划的预期效果。

城市更新形势下的建筑设计与城市规划研究

文章旨在深入探讨在城市化进程不断加速的背景下,城市更新作为促进城市可持续发展的关键策略所面临的挑战与机遇。文章研究的核心关注点聚焦于通过遵循建筑设计与城市规划的基本原则,实现城市空间的高效利用、环境质量的提升以及社会文化的传承与发展,从而为城市更新实践提供理论支持与实践指导。

新型电力系统平衡构建与安全稳定关键技术初探

以新能源为主体的新型电力系统是新型能源体系的重要组成部分和实现“双碳”目标的关键载体。高速发展的新型电力系统带来了源网荷储要素复杂化、稳定耦合互动化、运行约束多元化、不同构建方案的经济成本差异扩大化的挑战。为此,该文分析新型电力系统平衡与稳定的特性变化,提出新型电力系统风光配比、储能规划、网架重构、变流器参数优化、短路控制等5个关键技术方向并开展初步研究,为构建新型电力系统提供参考和借鉴。

基于可再生新能源接入的新型电力系统长期规划决策支持系统设计

针对可再生能源大规模接入给电力系统规划和运行带来的挑战,设计了一套新型电力系统长期规划决策支持系统。该系统通过可再生能源预测、电网规划优化和多情景分析等功能,在平衡投资成本、促进新能源消纳、保障供电可靠性以及增强电网灵活性方面取得了显著效果,为我国能源转型和电力可持续发展提供了新的解决方案和一定的参考。

基于都市品质提升的城市更新行动探索——以南京市江宁区为例

城镇化发展中后期,城市的核心竞争力体现在都市品质方面,以都市品质提升为思路指导城市建设,成为城市可持续发展的长远路径。文章以南京市江宁区为例,应对大街区模式、产城融合缺乏、城市活力不足、景观风貌平淡等“城市病”,以城市更新行动为抓手,从支撑创新、生态修复、改善人居、塑造魅力、提升活力、韧性智慧等方面,提升都市品质,提高城市的竞争力;推动片区统筹,发挥城市更新的整体效应;创新政策体系,形成可持续的城市建设发展路径。

The future of underground spatial planning and the resulting potential risks from the point of view of mining subsidence engineering

The topic of ground movements in Germany has been studied extensively in the past,especially in the field of active mines.The active hard coal mines in Germany were finally shut down in 2018 and lignite mining is expected to take place only until 2038.The so-called long-term liabilities of the mine operators in Germany include,among other things,the long-term guarantee of stability and thus the monitoring of ground motion.So far,the economic use of underground mining in Germany was mainly the supply of raw materials.In the future,the underground storage of compressed air,methane or hydrogen will play an important role in renewable energy supply and climate change.Therefore,the underground storage space will become more important and the spatial planning is essential to ensure availability of safe underground openings for the various options of environmentally friendly energy storage.However,this renewed usage of underground openings may also bring new and sometimes unknown challenges of geomechanical influence.The aftermath of hard coal and lignite mining will be an increasing challenge in mining subsidence engineering.On the other hand,new possibilities due to underground spatial planning may lead to subsidence and/or heaving of the upper surface.

Power generation expansion planning approach considering carbon emission constraints

Decarbonization of the power sector in China is an essential aspect of the energy transition process to achieve carbon neutrality.The power sector accounts for approximately 40%of China’s total CO_(2) emissions.Accordingly,collaborative optimization in power generation expansion planning(GEP)simultaneously considering economic,environmental,and technological concerns as carbon emissions is necessary.This paper proposes a collaborative mixedinteger linear programming optimization approach for GEP.This minimizes the power system’s operating cost to resolve emission concerns considering energy development strategies,flexible generation,and resource limitations constraints.This research further analyzes the advantages and disadvantages of current GEP techniques.Results show that the main determinants of new investment decisions are carbon emissions,reserve margins,resource availability,fuel consumption,and fuel price.The proposed optimization method is simulated and validated based on China’s power system data.Finally,this study provides policy recommendations on the flexible management of traditional power sources,the market-oriented mechanism of new energy sources,and the integration of new technology to support the attainment of carbon-neutral targets in the current energy transition process.

Development modes analysis of renewable energy power generation in North Africa

North African countries generally have strategic demands for energy transformation and sustainable development.Renewable energy development is important to achieve this goal.Considering three typical types of renewable energies—wind,photovoltaic(PV),and concentrating solar power(CSP)—an optimal planning model is established to minimize construction costs and power curtailment losses.The levelized cost of electricity is used as an index for assessing economic feasibility.In this study,wind and PV,wind/PV/CSP,and transnational interconnection modes are designed for Morocco,Egypt,and Tunisia.The installed capacities of renewable energy power generation are planned through the time sequence production simulation method for each country.The results show that renewable energy combined with power generation,including the CSP mode,can improve reliability of the power supply and reduce the power curtailment rate.The transnational interconnection mode can help realize mutual benefits of renewable energy power,while the apportionment of electricity prices and trading mechanisms are very important and are related to economic feasibility;thus,this mode is important for the future development of renewable energy in North Africa.

Energy Planning: Brazilian Potential of Generation of Electric Power from Urban Solid Wastes—Under “<i>Waste Production Liturgy</i>” Point of View

The use of Urban Solid Waste (USW) as sources of energy has acquired rising importance in current discussions of alternative energy supplies, in particular in Brazil. This paper brings to these discussions an examination of the concept of solid wastes, including their historic origins and formation, taking their social, economic and cultural characteristics into account, including point view of waste production liturgy. Consequently, a spendthrift society slanted towards the decreasing marginal utility of assets must make efficient use of its USW in order to reduce excessive output. Besides that, this document presents the Brazilian potential of urban solid waste to produce electric power.