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Optimization Model for Inter-regional Emergency power dispatch Considering Transmission Rights Allocation

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Dianwang Jishu/power System Technology 2025年第1期49卷 223-231页

作者： Guan, Jinyu Liang, Zhifeng Chang, Li Cao, Rongzhang Li, Lili NARI Group Corporation State Grid Electric Power Research Institute Jiangsu Province Nanjing 211106 China NARI Technology Co. Ltd. Jiangsu Province Nanjing 211106 China Department of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China national power dispatch and control centre Xicheng District Beijing 100031 China

Inter-regional emergency power dispatch refers to the mandatory fallback guarantee measures for ensuring supply or absorption of emergency demands within provincial grids when market-based approaches have been exhausted from the perspective of mutual assistance in electricity surplus and shortage across provinces and regions. When it is impossible to rely on market declarations directly, how to allocate emergency demands and inter-provincial/regional support capacities and distribute the limited available transfer capacity reasonably among market entities is one of the key issues urgently needing to be addressed in current emergency dispatch. This paper proposes an optimization model for inter-provincial and inter-regional emergency power dispatch considering transmission rights. Inspired by China's current mechanism for allocating transmission channel revenue rights, based on local prioritization and the urgency of emergency demands, a method for determining the priority of emergency transactions considering transmission rights allocation is proposed. This method transforms transmission rights into priority transaction rights, addressing the lack of a reasonable basis for transmission capacity allocation in the emergency dispatch phase. Considering constraints such as available transfer capacity, transaction flow balance, and transaction point power balance constraints, to maximize adjusted social welfare, a clearing model for emergency dispatch optimization considering transaction path priority is constructed. Comparative analysis of the optimization results of three 1e clearing modes, price-based sequential clearing, scenario-based separation, and clearing with transaction path priority, validates the effectiveness and superiority of the proposed optimization clearing model and analyzes the impact of related parameter settings on the clearing results. © 2025 power System Technology Press. All rights reserved.

关键词： Commerce

Bayesian Network Based Imprecise Probability Estimation Method for Wind power Ramp Events

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Journal of Modern power Systems and Clean Energy 2021年第6期9卷 1510-1519页

作者： Yuanchun Zhao Wenli Zhu Ming Yang Mengxia Wang Key Laboratory of power System Intelligent dispatch and control Shandong University State Grid Jinan power Company

Although wind power ramp events(WPREs)are relatively scarce,they can inevitably deteriorate the stability of power system operation and bring risks to the trading of electricity *** this paper,an imprecise conditional probability estimation method for WPREs is proposed based on the Bayesian network(BN)*** method uses the maximum weight spanning tree(MWST)and greedy search(GS)to build a BN that has the highest fitting degree with the observed ***,an extended imprecise Dirichlet model(IDM)is developed to estimate the parameters of the BN,which quantificationally reflect the ambiguous dependencies among the random ramp event and various meteorological *** BN is then applied to predict the interval probability of each possible ramp state under the given meteorological conditions,which is expected to cover the target probability at a specified confidence *** proposed method can quantify the uncertainty of the probabilistic ramp event ***,by using the extracted dependencies and Bayesian rules,the method can simplify the conditional probability estimation and perform reliable prediction even with scarce *** results on a real wind farm with three-year operation data illustrate the effectiveness of the proposed method.

关键词： Bayesian network(BN) conditional probability imprecise Dirichlet model(IDM) imprecise probability wind power ramp events

Wind power forecasting errors modelling approach considering temporal and spatial dependence

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Journal of Modern power Systems and Clean Energy 2017年第3期5卷 489-498页

作者： Wei HU Yong MIN Yifan ZHOU Qiuyu LU The State Key Lab of power Systems Department of Electrical EngineeringTsinghua UniversityBeijingChina power dispatch control centre of Guangdong power Grid Corporation GuangzhouChina

The uncertainty of wind power forecasting significantly influences power systems with high percentage of wind power generation. Despite the wind power forecasting error causation, the temporal and spatial dependence of prediction errors has done great influence in specific applications, such as multistage scheduling and aggregated wind power integration. In this paper, Pair-Copula theory has been introduced to construct a multivariate model which can fully considers the margin distribution and stochastic dependence characteristics of wind power forecasting errors. The characteristics of temporal and spatial dependence have been modelled, and their influences on wind power integrations have been *** comparisons indicate that the proposed model can reveal the essential relationships of wind power forecasting uncertainty, and describe the various dependences more accurately.

关键词： Pair-Copula Wind power forecasting Temporal dependence Spatial dependence Wind power integrations

Two-stage stochastic approach for spinning reserve allocation in dynamic economic dispatch

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Journal of Central South University 2014年第2期21卷 577-586页

作者：杨明张利韩学山程凤璐 Key Laboratory of power System Intelligent dispatch and control of Ministry of Education (Shandong University)

A novel approach was proposed to allocate spinning reserve for dynamic economic *** proposed approach set up a two-stage stochastic programming model to allocate *** model was solved using a decomposed algorithm based on Benders' *** model and the algorithm were applied to a simple 3-node system and an actual 445-node system for verification,*** results show that the model can save 84.5 US $ cost for the testing three-node system,and the algorithm can solve the model for 445-node system within 5 *** test results also illustrate that the proposed approach is efficient and suitable for large system calculation.

关键词： power system dynamic economic dispatch spinning reserve response risk two-stage stochastic programming Benders' decomposition

Aggregate modeling and analysis of air conditioning load using coupled Fokker–Planck equations

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Journal of Modern power Systems and Clean Energy 2018年第6期6卷 1277-1290页

作者： Dingyi CHENG Wen ZHANG Yutian LIU Key Laboratory of power System Intelligent dispatch and control of Ministry of Education Shandong University

Demand response has gained significant attention recently with the increasing penetration of renewable energy sources in power systems. Air conditioning loads are typical thermostatically controlled loads which can play an active role in ancillary services by regulating their aggregated power consumption. The aggregation of air conditioners is essential to the control of air conditioning loads. In this paper, linear state equations are proposed to aggregate air conditioning loads by solving coupled Fokker–Planck equations(CFPEs) using the finite difference method. By analyzing the numerical stability and convergence of the difference scheme, the grid spacings, including temperature step and time step, are properly determined according to the maximal principle. Stationary solutions of the CFPEs are obtained by analytical and numerical methods. Furthermore, a classification method using dimension reduction is proposed to deal with the problem of heterogeneous parameters and interval estimation is applied to describe the stochastic behavior of air conditioning loads. The simulation results verify the effectiveness of the proposed methods.

关键词： Aggregate model Air conditioner Coupled Fokker–Planck equation Grid spacing selection Heterogeneous Interval estimation Linear state equation Stationary solution

Secondary Frequency control Considering Optimized power Support From Virtual power Plant Containing Aluminum Smelter Loads Through VSC-HVDC Link

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Journal of Modern power Systems and Clean Energy 2023年第1期11卷 355-367页

作者： Peng Bao Wen Zhang Yuxi Zhang Key Laboratory of power System Intelligent dispatch and control of the Ministry of Education Shandong UniversityJinan 250061China

The growing number of renewable energy replacing conventional generators results in a loss of the reserve for frequency control in power systems,while many industrial power grids often have excess energy supply due to abundant wind and solar energy *** paper proposes a secondary frequency control(SFC)strategy that allows industrial power grids to provide emergency high-voltage direct current(HVDC)power support(EDCPS)for emergency to a system requiring power support through a voltage source converter(VSC)HVDC *** architecture including multiple model predictive control(MPC)controllers with periodic communication is designed to simultaneously obtain optimized EDCPS capacity and minimize adverse effects on the providing power support(PPS)***,a model of a virtual power plant(VPP)containing aluminum smelter loads(ASLs)and a high penetration of wind power is established for the PPS *** flexibility and controllability of the VPP are improved by the demand response of the *** uncertainty associated with wind power is considered by chance *** effectiveness of the proposed strategy is verified by simulation results using the data of an actual industrial power grid in Inner Mongolia,*** DC voltage of the VSCs and the DC in the potlines of the ASLs are also investigated in the simulation.

关键词： Secondary frequency control power support voltage source converter(VSC) high-voltage direct current(HVDC) model predictive control(MPC) virtual power plant(VPP) demand response

Risk-aware Distributed Optimal power Flow in Coordinated Transmission and Distribution System

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Journal of Modern power Systems and Clean Energy 2021年第3期9卷 502-515页

作者： Aamir Nawaz Hongtao Wang Key Laboratory of power System Intelligent dispatch and control of Ministry of Education Shandong UniversityJinan 250000China

Active distribution grids cause bi-directional power flow between transmission system(TS)and distribution system(DS),which not only affects the optimal cost but also the secure operation of the power *** paper proposes a hybrid coordination method to solve the risk-aware distributed optimal power flow(RA-DOPF)problem in coordinated TS and *** operation risk evaluation,the weather-based contingencies are considered in both TS and DS.A hybrid coordination method is developed that entails analytical target cascading(ATC)and Benders decomposition(BD).Moreover,the risk-aware optimal power flow(RAOPF)in TS and risk-based security-constrained optimal power flow in DS have been performed using the BD method considering basic optimal power flow as a master problem,whereas N-1 and N-2 contingencies are considered as *** case studies are performed using the IEEE 30-bus system with generation reserves as a TS and a 13-bus system as a *** results demonstrate the efficacy of the proposed method.

关键词： Analytical target cascading Benders decomposition distribution system preventive and corrective contingen-cies risk awareness transmission system

Distributed Stochastic Security Constrained Unit Commitment for Coordinated Operation of Transmission and Distribution System

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CSEE Journal of power and Energy Systems 2021年第4期7卷 708-718页

作者： Aamir Nawaz Hongtao Wang Key Laboratory of power System Intelligent dispatch and control of Ministry of Education Shandong UniversityJinan 250000China

With the high penetration of renewable energies in modern power systems,deterministic coordination algorithms are facing two major problems:one is degradation in accuracy if fewer scenarios are utilized for uncertainty evaluation while second is the high computational time if a high number of scenarios are considered for better accuracy・In both cases,the efficiency of the algorithm is degraded・To solve these problems in coupled transmission system and distribution systems(TSDS),probabilistic coordination algorithms are adopted to solve with less *** this paper,a TSDS probabilistic coordination model is proposed to solve the coordinated security-constrained unit commitment problem.A mean and standard deviation matching based probabilistic analytical target cascading algorithm has been utilized for evaluation of TSDS coordination *** of solving each scenario as a separate problem,the proposed algorithm considers a single coordination problem with probabilistic characteristics as shared variables and hence,achieves fast convergence・Different case studies are performed to prove the efficacy of the proposed *** verify that the proposed algorithm reduces computational time and resources for large-scale systems.

关键词： Distribution system mean probabilistic analytical standard deviation target Cascading transmission system

Integrated generation–consumption dispatch based on compensation mechanism considering demand response behavior

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Journal of Modern power Systems and Clean Energy 2018年第5期6卷 1025-1041页

作者： Yumin ZHANG Xueshan HAN Li ZHANG Bo XU Mingqiang WANG Ming YANG Key Laboratory of power System Intelligent dispatch and control of Ministry of Education Shandong University State Key Laboratory of control and Simulation of power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University

Demand response(DR) is important to account for behaviors of the demand side to yield an optimal dispatch result. However, it is difficult for energy suppliers to collect customers' private information unless there is an incentive mechanism for customers to do so. Therefore,this paper proposes a new integrated generation–consumption dispatch based on compensation mechanism considering DR behavior. Firstly, in light of the dayahead load forecast data, we deduce the utility function model of different customers. By subtracting generating units' operation cost from consumers' total utility, the dispatch model has a decentralized demand participant structure based on this utility function. The utility function is used to describe consumers' preferences and energy consumption behaviors. Secondly, an effective compensation mechanism is designed to ensure customers to select the level of compensation appropriate to their willingness to curtail load. Finally, a new dispatch model is proposed that incorporates the DR compensation mechanism into the generation–consumption dispatch model. The new model can improve the interaction of generation and consumption,and benefit both the energy supplier and its customers. The proposed model is piecewise linearized and solved by a mixed-integer linear programming method. It is tested on a six-bus system and the IEEE 118-bus system. Simulation results show that the proposed model can realize both maximum social welfare and Pareto optimal results.

关键词： Compensation mechanism Demand response Demand utility function Integrated generation– consumption dispatch