光储微网的储能优化配置与技术经济分析

在储能系统和光伏发电相结合的统筹规划中,电池储能投资成本、光伏装机容量、光伏并网价格以及热电联产(CHP)的采用对电池储能的容量配置和电池充放电策略具有显著影响。基于分时电价下的光伏储能系统,将电池储能的容量和功率的配置转化为根据电价时段划分的约束优化问题。以某工业园区为研究对象,建立光伏-储能系统功率流模型,优化计算得到经济效益最优化的电池容量和功率配置结果及电池充放电策略。基于内部收益率、光伏自我消纳率等指标,根据光伏上网价格和电网谷段电价的关系划分场景,通过光伏发电容量和电池价格的变化探究光伏-储能系统中电池储能的容量配置、经济效益的变化规律和热电联产对系统的影响。     

Impact of industrial virtual power plant on renewable energy integration

An industrial park is one of the typical energy consumption schemes in power systems owing to the heavy industrial loads and their abilities to respond to electricity price changes. Therefore, energy integration in the industrial sector is significant. Accordingly, the concept of industrial virtual power plant (IVPP) has been proposed to deal with such problems. This study demonstrates an IVPP model to manage resources in an eco-industrial park, including energy storage systems, demand response (DR) resources, and distributed energies. In addition, fuzzy theory is used to change the deterministic system constraints to fuzzy parameters, considering the uncertainty of renewable energy, and fuzzy chance constraints are then set based on the credibility theory. By maximizing the daily benefits of the IVPP owners in day-ahead markets, DR and energy storage systems can be scheduled economically. Therefore, the energy between the grid and IVPP can flow in both directions: the surplus renewable electricity of IVPP can be sold in the market; when the electricity generated inside IVPP is not enough for its use, IVPP can also purchase power through the market. Case studies based on three wind-level scenarios demonstrate the efficient synergies between IVPP resources. The validation results indicate that IVPP can optimize the supply and demand resources in industrial parks, thereby decarbonizing the power systems.     

分布式冷热电联供能源系统与经济发展的关系

“十二五”期间中国15.7万亿元的增量经济大部分将在新规划的新区实现,但从各地正在规划和建设的新区情况来看,缺少从一次能源到终端需求的冷、热、电、汽全过程高效联供的分布式供能规划.据推算,若“十二五”期间新区能效不变,工业和建筑物燃料需求将增加3×108t标煤/a,而这显然是不可能的.新规划区域能源模式创新、提高能效是“十二五”中国经济发展的关键,采用天然气分布式冷热电联供能源系统(DES/CCHP),可使能源终端供应能效成倍提高.“十二五”期间中国必须从区域经济发展的能源保障高度来规划分布式冷热电联供,规划决策中要按照具体情况,以经济性、能效和碳排放指标是否最优为判据.CCHP可以调峰换取电价,实现互利双赢.制订区域DES/CCHP规划时应注意区域能源规划先行,摆脱热电联产的思维定势,树立冷热电联供的科学理念,不可忽视向居民供应生活热水起到的提高能效的作用,以及如何确定电力负荷、装机容量和节能减排指标等问题.     

基于综合需求侧响应策略的园区多能源系统优化运行

在能源互联网的背景下,计及多类型能源市场价格传导机制的综合需求侧响应策略能够解决传统工业园区能源利用效率低、电能紧缺等问题。文章以园区多能源系统为研究对象,计及电力市场和碳交易市场价格传导机制,基于园区多能源系统模型,以系统运行成本最小化为目标,设计了园区多能源系统综合需求侧响应策略,对深圳某园区进行了实例分析,并运用粒子群算法进行优化求解。结果表明,文章所提出的策略能够提高多能源系统的运行可靠性,降低运行成本。     

欧盟可再生能源发展形势和2020年发展战略目标分析

2010年,欧盟可再生能源发展呈现出新的形势:一方面,风电满足了欧盟5.3%的电力需求,已经开始发挥替代能源的战略作用;另一方面,光伏发电新增装机容量首次超过风电,显示出分布式光伏发电的巨大优势。在欧盟可再生能源"20-20-20"发展目标的基础上,欧盟各成员国相继制定了具有法律效力的国家可再生能源行动方案,规定了各国在不同时期的可再生能源的发展目标和实现路径。     

Optimal configuration for photovoltaic storage system capacity in 5G base station microgrids

Base station operators deploy a large number of distributed photovoltaics to solve the problems of high energy consumption and high electricity costs of 5G base stations. In this study, the idle space of the base station’s energy storage is used to stabilize the photovoltaic output, and a photovoltaic storage system microgrid of a 5G base station is constructed. Aiming at the capacity planning problem of photovoltaic storage systems, a two-layer optimal configuration method is proposed. The inner layer optimization considers the energy sharing among the base station microgrids, combines the communication characteristics of the 5G base station and the backup power demand of the energy storage battery, and determines an economic scheduling strategy for each photovoltaic storage system with the goal of minimizing the daily operation cost of the base station microgrid. The outer model aims to minimize the annual average comprehensive revenue of the 5G base station microgrid, while considering peak clipping and valley filling, to optimize the photovoltaic storage system capacity. The CPLEX solver and a genetic algorithm were used to solve the two-layer models. Considering the construction of the 5G base station in a certain area as an example, the results showed that the proposed model can not only reduce the cost of the 5G base station operators, but also reduce the peak load of the power grid and promote the local digestion of photovoltaic power.     

基于时间序列的电能路由器能流预测模型

为解决以电能路由器为基本节点的能源互联网中的能流预测问题,分析了居民用电、大型商业用电、小型商业用电、光伏出力四类能流的主要影响因素,利用时间序列中的ARIMA模型构建了不同性质的能流预测模型,在此基础上综合考虑不同性质的能流和能源局域网的路由策略,进而构建了电能路由器能流预测模型。将该模型应用于New Hampshire Electric Co-op(NHEC)2013年3月的能流预测时,发现在路由策略下分布式电源充分条件下储能设备充裕时,对电能路由器能流EEF无影响;储能设备有限时,对EEF影响较大,EEF频繁波动;无储能设备时,对EEF影响较大,10:00~19:00时波动大;在分布式电源有限条件下,三种储能设备情况下,对电能路由器能流EEF均影响较大。     

智能电网下多时间尺度家庭能量管理优化策略

建立负荷在功率约束与需求响应约束下的激励需求响应模型以及含分布式电源、储能与电动汽车的家庭用电模型,在预测模型多时间尺度能量管理的基础上,以最小化用户自身用电费用与买电功率波动的两层目标函数实时优化调整策略。通过实时调整储电池、电动汽车的充放电,从而保证用户购电满足需求相应的要求。最后采用改进的粒子群算法对多时间尺度目标函数进行求解,并且与原始的粒子群算法进行对比,结果表明所提算法可显著降低用户的用电费用与功率波动。     

基于动态运行策略的太阳能分布式供能系统设计运行联合优化

提出将光伏剩余电量按照可变比例分配给储能电池及市政电网的动态运行策略,建立基于该策略的并网太阳能分布式供能系统设计运行联合优化模型,在不同分时电价下基于遗传算法对模型寻优,并将动态运行策略与对照运行策略（剩余电量优先并网或优先分配储能电池）下的系统运行结果进行比较分析。以陕西某乡村典型民居建筑为例进行分析,结果表明：1）分时电价的峰谷价差较大时,动态运行策略可有效降低太阳能分布式供能系统成本;2）分时电价的峰谷价差对于动态运行策略下储能电池的容量配置具有较大影响：峰谷价差越大,储能电池的配置容量越大;3）光伏度电补贴对3种运行策略下的系统成本影响程度为：动态运行策略>策略B（剩余电量优先分配储能电池）>策略A（剩余电量优先并网）。     

An optimal electricity allocation model for sustainable resource use in India

Energy demand is increasing rapidly because of developments in the agricultural, industrial, commercial and transportation sectors. Improved lifestyle and population rise are other reasons for the increase in energy demand. The development of an electricity allocation model will help in the proper allocation of the energy sources to meet the future electricity demand in India. In this paper, an attempt has been made to develop a fuzzy‐based linear programming, optimal electricity allocation model (OEAM) that minimizes the cost and determines the optimum allocation of different energy sources to the centralized and decentralized power generation in India. The potential of energy sources, energy demand, efficiency of the energy systems, emission released by the energy systems and carbon tax for the emissions released by each system are the main factors that influence the pattern of electricity distribution and are used as constraints in the model. Executing this model results in an optimal electricity distribution pattern. The results indicate that the commercial energy sources such as coal, nuclear and hydro would meet nearly 68% of total electricity demand and that the remaining 32% of the electricity demand will be met by the renewable energy sources, namely, wind, biomass, biogas, solid waste, cogeneration and mini hydel for the year 2020. Various scenarios are also developed by varying the demand, potential, emission and carbon tax. This study will help in the formation of strategies for effective utilization of energy sources in India. Copyright © 2012 John Wiley & Sons, Ltd.     

Photovoltaic electricity scenario analysis in urban contests: An Italian case study

This paper shows a methodology for the assessment of the photovoltaic potential in urban areas using Google Earth™ tool that provides either satellite images of the roofs of buildings or their number of floors by means of the Street View function. The applicability of the methodology has been tested on a selected urban area of the city of Palermo in the South of Italy. After classifying roofs according to the shape, orientation and pitch of buildings with different morphologies, the share of energy generated by the installable PV systems was evaluated with regard to the number of floors. Moreover the coverage of the electricity demand was investigated on the basis of the consumption of electricity of the households. The results of the energy assessment have been screened considering the economic feasibility of grid-connected photovoltaic systems. The proposed methodology permits to select a threshold number of floors of the buildings in correspondence of which the PV system that may be installed, and the consequent production of electricity, may not recover the costs for installation and maintenance of the system. This aspect has also been analyzed by considering the main factors that influence the computation, such as the mismatch between generated and consumed electricity and the shading effects due to the surrounding obstacles. The methodology could also be used to assess the effectiveness of the national incentives to support the diffusion of the PV systems in the short term.     

考虑制氢效率特性的风氢系统容量优化

针对利用风电制氢导致电解槽间歇式运行的问题,提出了考虑制氢效率特性的风氢系统容量配置优化方法。首先研究了电解槽的制氢效率特性,评估电解槽的最优工作区间;在此基础上,采取电网辅助购电策略,维持电解槽的最优运行;考虑售电收益、售氢收益、投资运维成本和弃风成本,以风氢系统联合收益最大化为目标,计及风氢系统稳定运行约束和风电出力爬坡约束,合理地分配风电上网功率和制氢功率。文章联合风电外送输电工程进行了风氢系统容量配置优化,为风氢系统的容量优化提供新思路。     

Rural electrification in Zambia: A policy and institutional analysis

Zambia is well endowed with hydropower and other energy resources, which could facilitate production of electricity for both urban and rural areas of the country. The country has an installed electricity generation capacity of 1786 MW and undeveloped hydropower potential of over 6000 MW. In the last few years, demand has been growing and it is anticipated to outstrip supply in 2008. The load growth is attributed to increased mining activities and development of the industrial base. The country is also endowed with abundant natural resources such as arable land, water, minerals and wildlife. With the available resource base, electricity along with other social and economic infrastructure such as roads and telecommunications could facilitate increased economic activities. In rural areas, electricity could be used for crop irrigation, agro-processing, small-scale mining and to facilitate tourism. However, rural electrification (RE) faces many challenges such as long distances from existing power stations to targeted rural areas, low population densities, high poverty levels and low skills availability. These and other factors have contributed to continued low levels of access to electricity in rural areas of the country.     

Demand reduction in the UK—with a focus on the non-domestic sector

A demand reduction strategy is considered in the context of the UK and in the light of the UK Government's 2006 Energy Review. This paper discusses how a mechanism—a Demand Reduction Obligation (DRO)—can be established to achieve radical energy demand reduction targets in electricity and gas use in the industrial, commercial and public administration sectors. A DRO would require energy suppliers to invest in energy-saving measures so as to reduce energy demand in these sectors. The investment for this activity would be funded by energy suppliers who would increase prices in order to cover the cost of achieving the carbon reductions. Public opinion surveys suggest that a large proportion of the public would prefer to support demand reduction measures compared to other energy options. It may be practical to deliver carbon emission reductions equivalent to around 30% of emissions from the UK electricity sector over a 15-year period through a broad-based demand reduction strategy. Demand reduction is considered in the context of an assessment of costs and resources available from other low carbon options including renewable energy and nuclear power.     

Techno‐economic and environmental analysis for grid interactive solar photovoltaic power system of Lakshadweep islands

The Lakshadweep group of islands in Arabian Sea is one of the two major groups of islands in India. In these islands the main source of electricity is diesel generators, the diesel being transported from the main land to produce over 9 MW of electricity. Considering the remoteness of the island and the polluting nature of the existing plants, it is desirable to adopt a strategy to utilize available potential of non‐polluting renewable energy sources for these ecologically sensitive islands. A techno economic and environmental analysis for grid interactive solar photovoltaic power system of Union Territory of Lakshadweep islands is presented. This paper also examines the pollution aspect of power generation through Diesel Generator set and highlights the environmental benefits in using solar energy. Experiences of grid interactive solar photovoltaic power system installed recently in different islands are discussed and suggestions have been made for improving its efficiency and performance. Copyright © 2004 John Wiley & Sons, Ltd.     

China's energy-water nexus – assessment of the energy sector's compliance with the “3 Red Lines” industrial water policy

Increasing population and economic growth continue to drive China's demand for energy and water resources. The interaction of these resources is particularly important in China, where water resources are unevenly distributed, with limited availability in coal-rich regions. The “3 Red Lines” water policies were introduced in 2011; one of their aims is to reduce industrial water use, of which the energy sector is a part. This paper analyses current water withdrawals and consumption for all energy processes and assesses the sector's compliance with the industrial water policy under different scenarios, considering potential future policy and technological changes. The results show that future energy plans could conflict with the industrial water policy, but the amount of water used in the energy sector is highly dependant on technology choices, especially for power plant cooling. High electricity demand in the future is expected to be met mainly by coal and nuclear power, and planned inland development of nuclear power presents a new source of freshwater demand. Taking a holistic view of energy and water-for-energy enables the identification of co-benefits and trade-offs between energy and water policies that can facilitate the development of more compatible and sustainable energy and water plans.     

A case study of solar photovoltaic power system at Sagardeep Island,India

The application of renewable energy in electric power system is growing fast. Photovoltaic and wind energy sources are being increasingly recognized as cost-effective generation sources for remote rural area isolated power system. This paper presents the performance analysis of solar photovoltaic (SPV) system installed at Sagardeep Island in West Bengal state of India. The technical and commercial parameters are used to carry out the performance analysis. The effect of the SPV installation on social life is also studied. SPV installations not only provide electricity to people but also raised their standard of living.     

Renewable power for China: Past,present, and future

This paper briefly examines the history, status, policy situation, development issues, and prospects for key renewable power technologies in China. The country has become a global leader in wind turbine and solar photovoltaic (PV) production, and leads the world in total power capacity from renewable energy. Policy frameworks have matured and evolved since the landmark 2005 Renewable Energy Law, updated in 2009. China’s 2020 renewable energy target is similar to that of the EU. However, China continues to face many challenges in technology development, grid-integration, and policy frameworks. These include training, research and development, wind turbine operating experience and performance, transmission constraints, grid interconnection time lags, resource assessments, power grid integration on large scales, and continued policy development and adjustment. Wind and solar PV targets for 2020 will likely be satisfied early, although domestic demand for solar PV remains weak and the pathways toward incorporating distributed and building-integrated solar PV are uncertain. Prospects for biomass power are limited by resource constraints. Other technologies such as concentrating solar thermal power, ocean energy, and electricity storage require greater attention.     

Renewable power for China: Past, present, and future

This paper briefly examines the history, status, policy situation, development issues, and prospects for key renewable power technologies in China. The country has become a global leader in wind turbine and solar photovoltaic (PV) production, and leads the world in total power capacity from renewable energy. Policy frameworks have matured and evolved since the landmark 2005 Renewable Energy Law, updated in 2009. China’s 2020 renewable energy target is similar to that of the EU. However, China continues to face many challenges in technology development, grid-integration, and policy frameworks. These include training, research and development, wind turbine operating experience and performance, transmission constraints, grid interconnection time lags, resource assessments, power grid integration on large scales, and continued policy development and adjustment. Wind and solar PV targets for 2020 will likely be satisfied early, although domestic demand for solar PV remains weak and the pathways toward incorporating distributed and building-integrated solar PV are uncertain. Prospects for biomass power are limited by resource constraints. Other technologies such as concentrating solar thermal power, ocean energy, and electricity storage require greater attention.     

Rural energy in China: Pattern and policy

An overview of energy consumption pattern by available data and the analysis of some relevant aspects of energy policy in rural China are presented in this paper. The most obvious trend is the steady decreased proportion of biomass use, from 70.79% to 30.95%, and increased percentage of coal and electricity use, whereas coal and biomass are the major energy sources in rural areas, accounting for more than 70% of the total rural energy consumption even in 2007. Moreover, the energy consumption varies tremendously across provinces both in total and by fuel types, due to diversities of geographic features, economic development levels and local energy source availability. The rural energy policy and strategy of China have been somewhat unique, characterized by multi-resources, multi-assortments and multi-distribution channels. Some evident transition features can be found for both the rural energy consumption structure and the rural energy policy during the concerned period, that is, from noncommercial energy to commercial energy and from just satisfying energy demand to multi-purposes considering more factors as rural development and environmental protection.