含分布式发电并网虚拟发电厂鲁棒优化经济调度方法

文章基于鲁棒优化理论建立了虚拟发电厂最优经济调度模型。首先以虚拟发电厂发电净收益最大为目标函数,计及出力计划约束、机组运行约束、机组启停约束、储能运行约束等必要约束条件建立系统优化运行模型;然后考虑风光出力区间不确定性,以风光出力为自然决策者,以虚拟发电厂为系统决策者,分别制定博弈策略和支付,建立虚拟发电厂最优经济调度鲁棒优化模型,并对其Nash均衡点进行分析;基于两阶段松弛法将所建立的鲁棒优化模型转化为有限可解的步骤;最后通过一个算例验证了所建立的模型在制定虚拟发电厂运行计划方面的经济优势。     

基于主从博弈的风光储型微电网优化配置方法

随着微电网技术的发展和电力市场主体多样性的提高,微电网的投资权和经营权逐渐存在分离的情况。针对微电网投资决策主体与运营决策主体不一致的情形,基于主从博弈理论建立微电网优化配置模型。其中主体博弈者为微电网投资决策者,以微电网设备投资方案为博弈策略,以最小化综合投资成本为博弈目标;以微电网运营决策者为从体博弈者,以给定微电网配置方案下的系统优化运行计划为博弈策略,以最小化系统综合运行成本最小构成博弈的支付。分析得到模型的Nash均衡并采用混沌粒子群算法分别设计模型的主体模块和从体模块求解流程。仿真算例表明,所建立的主从博弈模型能够适用于微电网投资主体和经营主体分离下的微电网优化配置问题。研究成果可用于指导工程实践。     

考虑电/热储能灵活经济调控的综合能源系统与产消者日前协调优化运行策略北大核心CSCD

多元异质储能技术对含产消者的综合能源系统灵活运行和统筹资源协调具有积极作用。本工作提出考虑电/热储能灵活经济调控的综合能源系统日前博弈-鲁棒优化运行策略,该方法挖掘电/热异质储能在能源交易中的经济潜力和不确定因素下的灵活潜力。首先,考虑节点电压、管道温度等状态量的安全限制建立综合能源系统调度模型和储能运行模型;进而,在电热能源市场框架下,建立考虑储能经济运行的综合能源服务商与产消者博弈的Stackelberg模型及其MPEC形式;然后,基于Stackelberg博弈模型,提出计及电池储能日内灵活调整的两阶段鲁棒优化模型,采用改进的列约束生成算法求解。最后,算例验证了所提方法的有效性,储能灵活经济调控降低系统运行成本以及保证日内电力供需平衡。     

多能互补的分布式供能系统的超结构模型及运行策略优化设计

为解决多能互补的分布式供能系统(DES)装机容量及运行策略的优化设计问题,以年总成本、一次能源消耗量及碳排放量等指标综合性能最优为目标函数,建立了一个协调能源生产、能源转换和储能等子系统中的能量流动关系和能量平衡约束等的超结构模型,并将该模型应用于某园区的DES最佳装机规模设计和逐时运行策略优化中。结果表明:与传统供能方案相比,采用该模型优化设计的多能互补的DES在经济、能耗及碳排放等指标上具有较大优势,年总能耗可节省18.05%,系统综合能源利用率可提高21.63%。     

基于三方博弈的多能交互微网群系统双层优化模型

随着新能源占比不断提高,多能交互微网群凭借其促进微网间能源互济、提升新能源利用率的能力,将成为智能电网的重要发展方向。为解决多能交互微网群在与用户进行能源交易过程中,对能源交易价格具有操纵性,多能交互微网群与用户间无法建立公平的能源交易机制的问题,建立政府、多能交互微网群、用户三方博弈模型,保证多能交互微网群与用户间能源交易行为的公平公正。由于传统的单层优化方法难以揭示多主体之间的交互行为,建立基于政府、多能交互微网群、用户三方博弈的多能交互微网群系统双层优化模型。模型上层为政府、多能交互微网群、用户三方博弈,三方博弈目标为政府社会福利最大化、多能交互微网群效益最优、用户满意度最高;模型下层为多能交互微网群系统优化调度,多能交互微网群系统协调各类能源转化最优分配,运行成本最低。最后,通过算例仿真验证该模型的有效性。     

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。     

探析多能协同下的综合能源系统协调调度策略

随着新能源和化石能源互补的"混合能源时代"的来临,传统的化石能源时代难以满足经济发展的需求,由此也引发人们对综合能源系统的关注和重视,在互联网支撑的智能电网前提下,衍生出以供电、供热、供气等系统相集成的综合能源系统,要重点研究多能互补和能量梯级利用的IES优化调度模型和策略,探析其与上级电网互动的IES综合需求响应模型和策略,更好地实现多能互补及能量的梯级利用,促进各能量管理系统之间的协调与互动。     

基于改进小生境遗传算法的输电网安全经济规划模型

传统输电网规划模型中的目标函数通常仅考虑系统运行经济性而忽略安全性因素及其所带来的损失,为避免此缺陷,在运用改进K-means算法进行负荷聚类并建立多级负荷模型的基础上,以包含年投资成本、运行维护成本及缺电成本的年综合成本最小为目标,建立一种考虑安全性经济性协调的输电网规划模型,将安全性效益转化为经济形式并加入到目标函数中,同时在模型约束条件中考虑N-1安全约束,从而实现电网安全性与经济性的协调。最后,利用带有精英保留策略的改进小生境遗传算法求解规划模型,确定基于安全性经济性协调下的最优规划方案。通过分析修改后的IEEE RTS79系统,验证了模型及求解算法的有效性,可为输电网安全经济规划提供参考。     

计及多类型电储能的综合能源系统优化运行对比分析研究

综合能源系统是泛在电力物联网的重要组成部分,多种类型的储能设备在其中发挥了重要作用。目前的多数研究只考虑了单一类型电储能对综合能源系统优化运行的影响,或是通过对多种能量形式的储能进行联合优化调度展开研究。至于多种类型电储能在综合能源系统中的优化运行结果以及定量对比分析工作还开展的较少。鉴于此,文中提出了计及飞轮储能、电化学储能和超导储能等多类型电储能的综合能源系统优化运行模型,以系统日运行成本最低为目标,并采用人工智能算法来保障预测数据的准确性,利用混合整数线性规划方法进行求解,同时设置了3种运行场景,对不同场景下的优化结果进行了定量分析对比。算例分析表明,采用电化学储能可获得最低的系统运行成本以及最为显著的售电交易量;而超导储能具备充放调度灵活性高,充放潜力大的特点。     

考虑新能源的梯级水电中长期调度策略研究

研究风光水中长期互补协调调度对探索风光的接入对水电运行的影响有重要意义。以流域Y下游两库五级梯级水电站及其周边的风光资源为例,建立了计及发电量最大化和时段最小出力最大化的双目标模型,在求解时将时段最小出力最大化目标转化为约束条件,在约束破坏时对目标函数加以惩罚,以达到简化求解的目的。最后通过分析互补协调调度的效果及风光对水库蓄泄水的影响提取了互补运行中梯级水电的调度策略,即互补运行中,水库群蓄水时期的调度策略以水资源最优化为原则,供水时期需重点关注,应根据风光总发电特性进行策略调整。     

多区域间热网交互的综合能源系统配置优化

考虑多区域间热网交互的综合能源系统规划和运行优化能有效提高能源综合利用率,有助于节能减排、促进分布式能源就地消纳。在独立分区综合能源系统的基础上,在不同负荷特性区域间引入热网交互,以热网建设费用、CCHP设备投资、运行成本和碳排放税最低为综合优化目标,对多区域综合能源系统的配置和运行进行整体优化。对上海市某典型城区进行仿真优化结果表明,多区域间热网的引入有利于提高系统清洁能源利用率,合理配置设备容量,区域间用能互补特性增强,系统综合效益更佳。     

考虑弃水电量机会损失的水火电短期联合优化调度

针对传统大型水火电系统联合优化模型成本计算单一问题,考虑水电因弃水导致的机会损失,并考虑水火电爬坡约束、水电振动区约束等多种复杂约束,构建以火电运行成本与水电弃水电量机会损失之和最小为目标的水火电短期优化调度模型。将模型中非线性约束转化为线性化约束,并使用商业优化软件CPLEX中内置的分支定界法进行求解。算例仿真表明,按此优化准则下的最优策略运行,虽然火电运行成本有所增加,但弃水电量大大减小,水电能源利用率明显提升,计算结果更加符合实际情况。     

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...     

Synergistic planning of an integrated energy system containing hydrogen storage with the coupled use of electric-thermal energy

Regional integrated energy systems (RIES) can economically and efficiently use regional renewable energy resources, of which energy storage is an important means to solve the uncertainty of renewable energy output, but traditional electrochemical energy storage is only single electrical energy storage, and the energy efficiency level is low. Hydrogen energy storage has the advantages of large energy storage capacity, long storage time, clean and pollution-free, and can realize the synergistic and efficient utilization of electricity and thermal power. Based on this, this paper proposes a synergistic planning method for an integrated energy system with hydrogen storage taking into account the coupled use of electric-thermal energy, which effectively reduces the system carbon emission and improves the comprehensive energy efficiency level. Firstly, this paper constructs an electric-thermal coupling model of the hydrogen energy storage unit and proposes an optimization strategy for the integrated energy system containing hydrogen storage taking into account the utilization of electricity and thermal power. Secondly, a planning optimization model with the lowest economy and carbon emission and the highest comprehensive energy efficiency was constructed. Third, the CSPO-GE optimization algorithm is proposed for solving the problem, which significantly improves the solution efficiency. Finally, a planning optimization simulation of RIES for a residential community W in northern China verifies the effectiveness of the model and method proposed in this paper. The comparative analysis of the three schemes shows that compared with the integrated energy system with conventional electrochemical energy storage and heat storage tank as the main form of energy storage and the integrated energy system with only hydrogen storage, the integrated energy system with hydrogen storage and heat storage tank can reduce carbon emissions by 43.8% and 7.61%, respectively, and improve the integrated energy efficiency level by 337.14% and 14.44%.     

Study on the operation strategy for integrated energy system with multiple complementary energy based on developed superstructure model

The energy flow in energy supply system has become further complicated due to the addition of multiple clean primary energy and the integration of energy storage technique, which gives rise to the main challenges for integrated energy system (IES) designing on how the IES coordinates the start and stop or varying load operation of multiple equipment so as to maximize the energy conservation and emission reduction and economic benefits. In this paper, with the integration of multiple primary energy utilization technologies and combination of various energy conversions and storage equipment, a superstructure model of IES with multiple complementary energy is established by the way of gradually decomposing and modeling, taking the optimal annual total cost (ATC), primary energy consumption (PEC), and CO₂ emission (CE) as the objective function, which can harmonize the energy supply and demand restrictions and the relations of energy flow in the subsystems of energy production system (EPS), energy conversion system (ECS), and energy storage system (ESS). The scientific installed capacity and optimum operation strategy can be solved by this model, which is applied for the designing of integrated energy supply scheme for one certain park. The result shows that the model is both suitable for the energy supply scheme research and the scientific and rational planning and designing for integrated energy of IES with multiple complementary energy.     

Multi-objective optimized operation of integrated energy system with hydrogen storage

In this paper, an integrated energy system (IES) consisting of wind turbine unit, photovoltaic cell unit, electrolytic hydrogen unit, fuel cell unit, and hydrogen storage unit is proposed, and the construction of multi objectives for day-ahead power dispatching of the IES considering both operation and environment cost is discussed. By adopting piecewise linearization method, the optimization variables are divided into 24 periods, and the day-ahead power dispatching optimization problem is transformed into a 24-h piecewise optimization problem. On the basis, a complete non-linear mixed integer dynamic scheduling optimization model is established. An improved non-dominated sorting genetic algorithm (NSGA-II) is applied to solving the model. In optimization process, an interactive strategy is adopted to solve the coordination between discretization of variables and restriction of switching times of electrolyzer. Optimization results show that, compared with the single objective of minimizing operating costs, the multi-objective optimization scheme can reduce carbon emissions by 3.5% with 2.8% increase of operating cost. Compared with the single objective of minimizing environmental, the multi-objective optimization scheme can reduce operating cost carbon by 5.12% with 2.6% increase of environmental cost.     

基于频谱功率分配的微电网微源容量优化配置

光伏等新能源发电具有波动性,将其与可控发电装置或储能等可控微源相结合以微电网的形式发电,可减小功率波动对电网的影响。针对含光伏的独立型微电网,对其中微燃机和储能进行协调容量优化配置,通过对微电网的净负荷进行频谱分析,并考虑微燃机与储能对负荷波动的响应特性,利用优化频域分频点的方法确定微燃机与储能的功率分配策略,根据此功率分配策略,计及储能和微燃机的运维成本及储能的循环使用寿命,将分频点和电源容量作为优化变量,建立了以年综合成本最小为目标的双层优化配置模型。算例结果表明,合理的分频点可使储能与微燃机的容量配置更为经济,并可提高储能的循环使用寿命和降低微燃机的运行成本。     

面向碳中和的多源异质全可再生能源系统优化规划方法研究

为有效应对气候变化与能源危机,早日实现碳达峰与碳中和目标,提出多源异质全可再生能源热电气储耦合系统,在供能侧实现100%全可再生能源。首先,构建了全可再生能源系统的物理架构,并对系统内典型设备进行建模;然后,以系统年总经济成本最小为目标函数,构建了可实现系统结构、设备配置与运行策略协同优化的混合整数线性规划模型;最后,通过具体算例分析,验证了所提优化模型的正确性和可行性,确立了所提出的多源异质全可再生能源热电气储耦合系统在降低碳排放、实现全额消纳可再生能源等方面的有效性。