As the power system transitions to a new green and low-carbon paradigm,the penetration of renewable energy in China’s power system is gradually increasing.However,the variability and uncertainty of renewable energy o...As the power system transitions to a new green and low-carbon paradigm,the penetration of renewable energy in China’s power system is gradually increasing.However,the variability and uncertainty of renewable energy output limit its profitability in the electricity market and hinder its market-based integration.This paper first constructs a wind-solar-thermalmulti-energy complementary system,analyzes its external game relationships,and develops a bi-level market optimization model.Then,it considers the contribution levels of internal participants to establish a comprehensive internal distribution evaluation index system.Finally,simulation studies using the IEEE 30-bus system demonstrate that the multi-energy complementary system stabilizes nodal outputs,enhances the profitability of market participants,and promotes the market-based integration of renewable energy.展开更多
In a multi-energy collaboration system, cooling, heating, electricity, and other energy components are coupled to complement each other. Through multi-energy coordination and cooperation, they can significantly improv...In a multi-energy collaboration system, cooling, heating, electricity, and other energy components are coupled to complement each other. Through multi-energy coordination and cooperation, they can significantly improve their individual operating efficiency and overall economic benefits. Demand response, as a multi-energy supply and demand balance method, can further improve system flexibility and economy. Therefore, a multi-energy cooperative system optimization model has been proposed, which is driven by price-based demand response to determine the impact of power-demand response on the optimal operating mode of a multi-energy cooperative system. The main components of the multi-energy collaborative system have been analyzed. The multi-energy coupling characteristics have been identified based on the energy hub model. Using market elasticity as a basis, a price-based demand response model has been built. The model has been optimized to minimize daily operating cost of the multi-energy collaborative system. Using data from an actual situation, the model has been verified, and we have shown that the adoption of price-based demand response measures can significantly improve the economy of multi-energy collaborative systems.展开更多
Under the current long-term electricity market mechanism,new energy and thermal power face issues such as deviation assessment and compression of generation space.The profitability of market players is limited.Simulta...Under the current long-term electricity market mechanism,new energy and thermal power face issues such as deviation assessment and compression of generation space.The profitability of market players is limited.Simultaneously,the cooperation model among various energy sources will have a direct impact on the alliance’s revenue and the equity of income distribution within the alliance.Therefore,integrating new energy with thermal power units into an integrated multi-energy complementary system to participate in the long-term electricity market holds significant potential.To simulate and evaluate the benefits and internal distribution methods of a multi-energy complementary system participating in long-term market transactions,this paper first constructs a multi-energy complementary system integrated with new energy and thermal power generation units at the same connection point,and participates in the annual bilateral game as a unified market entity to obtain the revenue value under the annual bilateral market.Secondly,based on the entropy weight method,improvements are made to the traditional Shapley value distribution model,and an internal distribution model for multi-energy complementary systems with multiple participants is constructed.Finally,a Markov Decision Process(MDP)evaluation system is constructed for practical case verification.The research results show that the improved Shapley value distribution model achieves higher satisfaction,providing a reasonable allocation scheme for multi-energy complementary cooperation models.展开更多
In the background of the large-scale development and utilization of renewable energy,the joint operation of a variety of heterogeneous energy sources has become an inevitable development trend.However,the physical cha...In the background of the large-scale development and utilization of renewable energy,the joint operation of a variety of heterogeneous energy sources has become an inevitable development trend.However,the physical characteristics of different power sources and the inherent uncertainties of renewable energy power generation have brought difficulties to the planning,operation and control of power systems.For now,the utilization of multi-energy complementarity to promote energy transformation and improve the consumption of renewable energy has become a common understanding among researchers and the engineering community.This paper makes a review of the research on complementarity of new energy high proportion multi-energy systems from uncertainty modeling,complementary characteristics,planning and operation.We summarize the characteristics of the existing research and provide a reference for the further work.展开更多
The multi-energy complementary distributed energy system (MCDES) covers a variety of energy forms, involves complex operation modes, and contains a wealth of control equipment and coupling links. It can realize the co...The multi-energy complementary distributed energy system (MCDES) covers a variety of energy forms, involves complex operation modes, and contains a wealth of control equipment and coupling links. It can realize the complementary and efficient use of different types of energy, which is the basic component of the physical layer of the Energy Internet. In this paper, aiming at the demand of the energy application for towns, a distributed energy system based on multi-energy complementary is constructed. Firstly, the supply condition of the distributed energy for the demonstration project is analyzed, and the architecture of the multi-energy complementary distributed energy system is established. Then the regulation strategy of the multi-energy complementary distributed energy system is proposed. Finally, an overall system scheme for the multi-energy complementary distributed energy system suitable for towns is developed, which provides a solid foundation for the development and promotion of the multi-energy complementary distributed energy system.展开更多
The variable and unpredictable nature of renewable energy generation(REG)presents challenges to its large-scale integration and the efficient and economic operation of the electricity network,particularly at the distr...The variable and unpredictable nature of renewable energy generation(REG)presents challenges to its large-scale integration and the efficient and economic operation of the electricity network,particularly at the distribution level.In this paper,an operational coordination optimization method is proposed for the electricity and natural gas networks,aiming to overcome the identified negative impacts.The method involves the implementation of bi-directional energy flows through power-to-gas units and gas-fired power plants.A detailed model of the three-phase power distribution system up to each phase is employed to improve the representation of multi-energy systems to consider real-world end-user consumption.This method allows for the full consideration of unbalanced operational scenarios.Meanwhile,the natural gas network is modelled and analyzed with steady-state gas flows and the dynamics of the line pack in pipelines.The sequential symmetrical second-order cone programming(SS-SOCP)method is employed to facilitate the simultaneous analysis of three-phase imbalance and line pack while accelerating the solution process.The efficacy of the operational coordination optimization method is demonstrated in case studies comprising a modified IEEE 123-node power distribution system with a 20-node natural gas network.The studies show that the operational coordination optimization method can simultaneously minimize the total operational cost,the curtailment of installed REG,the voltage imbalance of three-phase power system,and the overall carbon emissions.展开更多
Along with the wide-ranging addition of wind power into power systems,multiple uncertainties are produced due to continuous changes of wind power,which in turn will affect the dispatching and operational process of th...Along with the wide-ranging addition of wind power into power systems,multiple uncertainties are produced due to continuous changes of wind power,which in turn will affect the dispatching and operational process of the power grid.In this process,excessive pursuit of the lowest risk of wind energy may bring an apparent influence on the economic effect of the multi-energy complementary power generation system because a continuous imbalance between demand and supply may lead to wind curtailment.To solve these issues,a new model that couples the multi-dimensional uncertainty model with the day-ahead complementary operation model is developed for a wind-hydrothermal system.A multi-dimensional uncertainty model(MU)is used to deal with wind uncertainty because it can quantitatively describe the complex features of error distribution of hourly dayahead wind power forecasting.The multi-dimensional interval scenes attained by the MU model can reflect hour-to-hour uncertain interaction in the day-ahead complementary operation for the wind-hydro-thermal system.This new model can make up for the shortcomings of the day-ahead operation model by reducing wind power risk and optimizing the operational costs.A two-layer nested approach with the hierarchical structure is applied to handle the wind-hydro-thermal system’s complex equality and inequality constraints.The new model and algorithm’s effectiveness can be evaluated by applying them to the Shaanxi Electric Power Company in China.Results demonstrated that:compared with the conventional operation strategies,the proposed model can save the operational cost of the units by 7.92%and the hybrid system by 0.995%,respectively.This study can offer references for the impact of renewable energy on the power grid within the context of the day-ahead electricity market.展开更多
在复杂渔光互补池塘环境中,传统机器视觉算法易受光影变化、池中水草分布和水面障碍物遮挡等因素干扰,导致视觉导航线检测效果不佳。针对上述问题,该研究提出了一种基于改进YOLOv8n的渔光互补池塘作业船导航中线提取方法。首先从提高检...在复杂渔光互补池塘环境中,传统机器视觉算法易受光影变化、池中水草分布和水面障碍物遮挡等因素干扰,导致视觉导航线检测效果不佳。针对上述问题,该研究提出了一种基于改进YOLOv8n的渔光互补池塘作业船导航中线提取方法。首先从提高检测实时性角度出发,将HGNetV2网络作为主干网络,采用组归一化方式(group normalization,GN)与共享卷积结构,设计轻量化检测头网络,减小模型体积;然后使用SPPF_LSKA模块作为特征融合层,提高模型多尺度特征融合能力;最后采用Wise-IoU(weighted interpolation of sequential evidence for intersection over union)损失函数,提升边界框回归性能和对中远处小目标的检测精度。利用改进YOLOv8n检测框坐标提取两侧水泥立柱定位参照点,通过最小二乘法拟合两侧水泥立柱行线,进而使用角平分线提取导航中线。消融试验结果表明,相对于原始YOLOv8n模型,改进YOLOv8n模型的计算量、参数量和模型体积分别下降36.0%、36.8%和32.8%,平均精度均值(mean average precision,mAP)为97.9%,查准率为93.1%,单张图像检测时间为6.8 ms,检测速度提升42.9%。不同模型对比试验表明,改进YOLOv8n模型在较低计算成本的基础上,体现出了良好的实时性与精准度检测性能,具有明显优势。在导航中线定位分析试验中,提取水泥立柱定位参照点与人工观测标记点平均直线误差在0~5和5~10 m距离范围内分别为3.69 cm和4.57 cm,提取导航中线与实际导航中线平均直线误差为3.26 cm,准确率为92%。在导航中线实时性试验中,导航中线平均提取速度为22.34帧/s,满足渔光互补池塘无人作业船导航要求,为后续作业船视觉导航系统研究提供参考。展开更多
基金funded by the National Key R&D Program of China,grant number 2019YFB1505400.
文摘As the power system transitions to a new green and low-carbon paradigm,the penetration of renewable energy in China’s power system is gradually increasing.However,the variability and uncertainty of renewable energy output limit its profitability in the electricity market and hinder its market-based integration.This paper first constructs a wind-solar-thermalmulti-energy complementary system,analyzes its external game relationships,and develops a bi-level market optimization model.Then,it considers the contribution levels of internal participants to establish a comprehensive internal distribution evaluation index system.Finally,simulation studies using the IEEE 30-bus system demonstrate that the multi-energy complementary system stabilizes nodal outputs,enhances the profitability of market participants,and promotes the market-based integration of renewable energy.
基金supported by State Grid Corporation Technology Project (5400-201956447A-0-0-00)。
文摘In a multi-energy collaboration system, cooling, heating, electricity, and other energy components are coupled to complement each other. Through multi-energy coordination and cooperation, they can significantly improve their individual operating efficiency and overall economic benefits. Demand response, as a multi-energy supply and demand balance method, can further improve system flexibility and economy. Therefore, a multi-energy cooperative system optimization model has been proposed, which is driven by price-based demand response to determine the impact of power-demand response on the optimal operating mode of a multi-energy cooperative system. The main components of the multi-energy collaborative system have been analyzed. The multi-energy coupling characteristics have been identified based on the energy hub model. Using market elasticity as a basis, a price-based demand response model has been built. The model has been optimized to minimize daily operating cost of the multi-energy collaborative system. Using data from an actual situation, the model has been verified, and we have shown that the adoption of price-based demand response measures can significantly improve the economy of multi-energy collaborative systems.
文摘Under the current long-term electricity market mechanism,new energy and thermal power face issues such as deviation assessment and compression of generation space.The profitability of market players is limited.Simultaneously,the cooperation model among various energy sources will have a direct impact on the alliance’s revenue and the equity of income distribution within the alliance.Therefore,integrating new energy with thermal power units into an integrated multi-energy complementary system to participate in the long-term electricity market holds significant potential.To simulate and evaluate the benefits and internal distribution methods of a multi-energy complementary system participating in long-term market transactions,this paper first constructs a multi-energy complementary system integrated with new energy and thermal power generation units at the same connection point,and participates in the annual bilateral game as a unified market entity to obtain the revenue value under the annual bilateral market.Secondly,based on the entropy weight method,improvements are made to the traditional Shapley value distribution model,and an internal distribution model for multi-energy complementary systems with multiple participants is constructed.Finally,a Markov Decision Process(MDP)evaluation system is constructed for practical case verification.The research results show that the improved Shapley value distribution model achieves higher satisfaction,providing a reasonable allocation scheme for multi-energy complementary cooperation models.
基金supported by the Science and Technology Project of State Grid Corporation of China.
文摘In the background of the large-scale development and utilization of renewable energy,the joint operation of a variety of heterogeneous energy sources has become an inevitable development trend.However,the physical characteristics of different power sources and the inherent uncertainties of renewable energy power generation have brought difficulties to the planning,operation and control of power systems.For now,the utilization of multi-energy complementarity to promote energy transformation and improve the consumption of renewable energy has become a common understanding among researchers and the engineering community.This paper makes a review of the research on complementarity of new energy high proportion multi-energy systems from uncertainty modeling,complementary characteristics,planning and operation.We summarize the characteristics of the existing research and provide a reference for the further work.
文摘The multi-energy complementary distributed energy system (MCDES) covers a variety of energy forms, involves complex operation modes, and contains a wealth of control equipment and coupling links. It can realize the complementary and efficient use of different types of energy, which is the basic component of the physical layer of the Energy Internet. In this paper, aiming at the demand of the energy application for towns, a distributed energy system based on multi-energy complementary is constructed. Firstly, the supply condition of the distributed energy for the demonstration project is analyzed, and the architecture of the multi-energy complementary distributed energy system is established. Then the regulation strategy of the multi-energy complementary distributed energy system is proposed. Finally, an overall system scheme for the multi-energy complementary distributed energy system suitable for towns is developed, which provides a solid foundation for the development and promotion of the multi-energy complementary distributed energy system.
基金supported by the Engineering and Physical Sciences Research Council(EPSRC,UK)in project“Street2Grid–an electricity blockchain platform for P2P energy trading”(No.EP/S001778/2).
文摘The variable and unpredictable nature of renewable energy generation(REG)presents challenges to its large-scale integration and the efficient and economic operation of the electricity network,particularly at the distribution level.In this paper,an operational coordination optimization method is proposed for the electricity and natural gas networks,aiming to overcome the identified negative impacts.The method involves the implementation of bi-directional energy flows through power-to-gas units and gas-fired power plants.A detailed model of the three-phase power distribution system up to each phase is employed to improve the representation of multi-energy systems to consider real-world end-user consumption.This method allows for the full consideration of unbalanced operational scenarios.Meanwhile,the natural gas network is modelled and analyzed with steady-state gas flows and the dynamics of the line pack in pipelines.The sequential symmetrical second-order cone programming(SS-SOCP)method is employed to facilitate the simultaneous analysis of three-phase imbalance and line pack while accelerating the solution process.The efficacy of the operational coordination optimization method is demonstrated in case studies comprising a modified IEEE 123-node power distribution system with a 20-node natural gas network.The studies show that the operational coordination optimization method can simultaneously minimize the total operational cost,the curtailment of installed REG,the voltage imbalance of three-phase power system,and the overall carbon emissions.
基金supported by the Research on comprehensive energy system of park based on big data analysis technology(2019ZDLGY18-03)National Natural Science Foundation of China(No.51879213)China Postdoctoral Science Foundation(2020M673453).
文摘Along with the wide-ranging addition of wind power into power systems,multiple uncertainties are produced due to continuous changes of wind power,which in turn will affect the dispatching and operational process of the power grid.In this process,excessive pursuit of the lowest risk of wind energy may bring an apparent influence on the economic effect of the multi-energy complementary power generation system because a continuous imbalance between demand and supply may lead to wind curtailment.To solve these issues,a new model that couples the multi-dimensional uncertainty model with the day-ahead complementary operation model is developed for a wind-hydrothermal system.A multi-dimensional uncertainty model(MU)is used to deal with wind uncertainty because it can quantitatively describe the complex features of error distribution of hourly dayahead wind power forecasting.The multi-dimensional interval scenes attained by the MU model can reflect hour-to-hour uncertain interaction in the day-ahead complementary operation for the wind-hydro-thermal system.This new model can make up for the shortcomings of the day-ahead operation model by reducing wind power risk and optimizing the operational costs.A two-layer nested approach with the hierarchical structure is applied to handle the wind-hydro-thermal system’s complex equality and inequality constraints.The new model and algorithm’s effectiveness can be evaluated by applying them to the Shaanxi Electric Power Company in China.Results demonstrated that:compared with the conventional operation strategies,the proposed model can save the operational cost of the units by 7.92%and the hybrid system by 0.995%,respectively.This study can offer references for the impact of renewable energy on the power grid within the context of the day-ahead electricity market.
文摘在复杂渔光互补池塘环境中,传统机器视觉算法易受光影变化、池中水草分布和水面障碍物遮挡等因素干扰,导致视觉导航线检测效果不佳。针对上述问题,该研究提出了一种基于改进YOLOv8n的渔光互补池塘作业船导航中线提取方法。首先从提高检测实时性角度出发,将HGNetV2网络作为主干网络,采用组归一化方式(group normalization,GN)与共享卷积结构,设计轻量化检测头网络,减小模型体积;然后使用SPPF_LSKA模块作为特征融合层,提高模型多尺度特征融合能力;最后采用Wise-IoU(weighted interpolation of sequential evidence for intersection over union)损失函数,提升边界框回归性能和对中远处小目标的检测精度。利用改进YOLOv8n检测框坐标提取两侧水泥立柱定位参照点,通过最小二乘法拟合两侧水泥立柱行线,进而使用角平分线提取导航中线。消融试验结果表明,相对于原始YOLOv8n模型,改进YOLOv8n模型的计算量、参数量和模型体积分别下降36.0%、36.8%和32.8%,平均精度均值(mean average precision,mAP)为97.9%,查准率为93.1%,单张图像检测时间为6.8 ms,检测速度提升42.9%。不同模型对比试验表明,改进YOLOv8n模型在较低计算成本的基础上,体现出了良好的实时性与精准度检测性能,具有明显优势。在导航中线定位分析试验中,提取水泥立柱定位参照点与人工观测标记点平均直线误差在0~5和5~10 m距离范围内分别为3.69 cm和4.57 cm,提取导航中线与实际导航中线平均直线误差为3.26 cm,准确率为92%。在导航中线实时性试验中,导航中线平均提取速度为22.34帧/s,满足渔光互补池塘无人作业船导航要求,为后续作业船视觉导航系统研究提供参考。
