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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 754-766页

作者： Leibao Wang Hui Fan Jifeng Liang Longxun Xu Tiecheng Li Peng Luo Bo Hu Kaigui Xie the State Grid Hebei Electric Power Research Institute Shijiazhuang 050021China State Key Laboratory of Power Transmission Equipment&System Security and New Technology Chongqing UniversityChongqing 400044China

The increasing penetration of renewable energy sources(RESs)brings great challenges to the frequency security of power *** traditional frequency-constrained unit commitment(FCUC)analyzes frequency by simplifying the average system frequency and ignoring numerous induction machines(IMs)in load,which may underestimate the risk and increase the operational *** this paper,we consider a multiarea frequency response(MAFR)model to capture the frequency dynamics in the unit scheduling problem,in which regional frequency security and the inertia of IM load are modeled with high-dimension differential algebraic equations.A multi-area FCUC(MFCUC)is formulated as mixed-integer nonlinear programming(MINLP)on the basis of the MAFR ***,we develop a multi-direction decomposition algorithm to solve the MFCUC *** original MINLP is decomposed into a master problem and *** subproblems check the nonlinear frequency dynamics and generate linear optimization cuts for the master problem to improve the frequency security in its optimal *** studies on the modified IEEE 39-bus system and IEEE 118-bus system show a great reduction in operational ***,simulation results verify the ability of the proposed MAFR model to reflect regional frequency security and the available inertia of IMs in unit scheduling.

关键词： Decomposition algorithm frequency response frequency-constrained unit commitment induction machine multi-area mixed-integer nonlinear programming(MINLP)

Solving multi-area Environmental/Economic Dispatch by Pareto-Based Chemical-Reaction Optimization Algorithm

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IEEE/CAA Journal of Automatica Sinica 2019年第5期6卷 1240-1250页

作者： Junqing Li Quanke Pan Peiyong Duan Hongyan Sang Kaizhou Gao the School of Computer Science Liaocheng UniversityLiaocheng 252059China the School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200072China the School of Information Science and Engineering Shandong Normal UniversityJinan 250014China the Macao Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China

In this study, we present a Pareto-based chemicalreaction optimization(PCRO) algorithm for solving the multiarea environmental/economic dispatch optimization *** objectives are minimized simultaneously, i.e., total fuel cost and emission. In the proposed algorithm, each solution is represented by a chemical molecule. A novel encoding mechanism for solving the multi-area environmental/economic dispatch optimization problems is designed to dynamically enhance the performance of the proposed algorithm. Then, an ensemble of effective neighborhood approaches is developed, and a selfadaptive neighborhood structure selection mechanism is also embedded in PCRO to increase the search ability while maintaining population diversity. In addition, a grid-based crowding distance strategy is introduced, which can obviously enable the algorithm to easily converge near the Pareto front. Furthermore,a kinetic-energy-based search procedure is developed to enhance the global search ability. Finally, the proposed algorithm is tested on sets of the instances that are generated based on realistic production. Through the analysis of experimental results, the highly effective performance of the proposed PCRO algorithm is favorably compared with several algorithms, with regards to both solution quality and diversity.

关键词： Chemical-reaction optimization algorithm gridbased crowding distance multi-area environmental/economic dispatch (MAEED) problem multi-objective optimization

Resilient Fixed-Order Distributed Dynamic Output Feedback Load Frequency Control Design for Interconnected multi-area Power Systems

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IEEE/CAA Journal of Automatica Sinica 2019年第5期6卷 1139-1151页

作者： Ali Azarbahram Amir Amini Mahdi Sojoodi the Department of Electrical and Computer Engineering Ferdowsi University of MashhadMashhadIran the Department of Electrical and Computer Engineering Concordia UniversityMontrealQCCanada the Faculty of Electrical and Computer Engineering Tarbiat Modares UniversityTehran14115-143Iran

The paper proposes a novel H∞ load frequency control(LFC) design method for multi-area power systems based on an integral-based non-fragile distributed fixed-order dynamic output feedback(DOF) tracking-regulator control scheme. To this end, we consider a nonlinear interconnected model for multiarea power systems which also include uncertainties and timevarying communication delays. The design procedure is formulated using semi-definite programming and linear matrix inequality(LMI) method. The solution of the proposed LMIs returns necessary parameters for the tracking controllers such that the impact of model uncertainty and load disturbances are minimized. The proposed controllers are capable of receiving all or part of subsystems information, whereas the outputs of each controller are local. These controllers are designed such that the resilient stability of the overall closed-loop system is guaranteed. Simulation results are provided to verify the effectiveness of the proposed scheme. Simulation results quantify that the distributed(and decentralized) controlled system behaves well in presence of large parameter perturbations and random disturbances on the power system.

关键词： Dynamic output feedback control interconnected multi-area power systems load frequency control linear matrix inequalities power system control

Demand response for frequency control of multi-area power system

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Journal of Modern Power Systems and Clean Energy 2017年第1期5卷 20-29页

作者： Yu-Qing BAO Yang LI Beibei WANG Minqiang HU Peipei CHEN School of Electrical and Automation Engineering Nanjing Normal UniversityNanjing 210042JiangsuChina School of Electrical Engineering Southeast UniversityNanjing 210096JiangsuChina Post-Doctoral Research Center of Physics Nanjing Normal UniversityNanjing 210046JiangsuChina

Over the last few years, lots of attentions have been given to the demand response(DR) for the frequency control. DR can be incorporated with traditional frequency control method and enhance the stability of the system. In this paper, the frequency control strategy of DR for a multiarea power system is specially designed. In order to quickly stabilize the frequency of different areas, the tie-line power is adopted as the additional input signal of DR. To get the optimal parameters of the control system, the frequency control problem is formulated as a multi-objective optimization problem, and the parameters such as the integral gains of secondary frequency control, the frequency bias parameters, and coefficients of DR are optimized. Numerical results verify the effectiveness of the proposed method.

关键词： Demand response Frequency control multi-area Genetic algorithm

multi-area Unit Commitment Using Hybrid Particle Swarm Optimization Technique with Import and Export Constraints

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Engineering（科研） 2009年第3期1卷 140-150页

作者： S. R. P. CHITRA SELVI R. P. KUMUDINI DEVI C. CHRISTOBER ASIR RAJAN 不详

This paper presents a novel approach to solve the multi-area unit commitment problem using particle swarm optimization technique. The objective of the multi-area unit commitment problem is to determine the optimal or a near optimal commitment strategy for generating the units. And it is located in multiple areas that are interconnected via tie lines and joint operation of generation resources can result in significant operational cost savings. The dynamic programming method is applied to solve multi-area Unit Commitment problem and particle swarm optimization technique is embedded for computing the generation assigned to each area and the power allocated to all committed unit. Particle Swarm Optimization technique is developed to derive its Pareto-optimal solutions. The tie-line transfer limits are considered as a set of constraints during the optimization process to ensure the system security and reliability. Case study of four areas each containing 26 units connected via tie lines has been taken for analysis. Numerical results are shown comparing the cost solutions and computation time obtained by using the Particle Swarm Optimization method is efficient than the conventional Dynamic Programming and Evolutionary Programming Method.

关键词： multi-area Unit Commitment Evolutionary Programming Dynamic Programming Method

Decentralized load frequency variable structure control of multi-area interconnected power system

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Decentralized load frequency variable structure control of m...

Stability Analysis of a multi area System with Renewable Energy and multi-Terminal DC Tie Lines

2011 Chinese Control and Decision Conference（CCDC）

作者： Mi Yang is with Shanghai University of Electric Power,Shanghai,PR,China,200090,Jing Yuanwei is with School of Information Science and Engineering,Northeastern University,110004,Shenyang,China,Li Wenlin

The load frequency problem is considered for the multi-area interconnected power system based on decentralized variable structure control method.A new PI-type sliding surface is constructed for each subsystem,and discontinuous control law is designed which is able to force the composite system to be asymptotically stable and to be insensitive to the system *** illustrate the effectiveness of the proposed decentralized variable structure control scheme,the interconnected power system is considered,the simulation results can indicate that the proposed control scheme works well.

关键词： Load frequency control Variable structure multi-area

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Journal of Power and Energy Engineering 2018年第9期6卷 85-96页

作者： Moses Peter Musau Department of Electrical and Information Engineering The University of Nairobi Nairobi Kenya

Security constrained multi area multi objective dynamic economic dispatch (SCMAMODED) with renewable energy (RE) and all the possible MTDC stability constraints is formulated for the first time. The stability merits of multi terminal DC (MTDC) tie lines as compared to the traditional HVAC forms the main objective of this paper. Probabilistic load flow (PLF) is applied to determine the system parameters while the uncertainties are modelled using Scenario Based Method (SBM). The simulation results reveal that with the use of MTDC tie lines, the frequency and voltage stability in the MAMODED with renewable energy sources (RES) are enhanced while keeping the MTDC power exchange interface nodes at secure levels.

关键词： multi-Terminal DC (MTDC) Tie Lines Probalistic Load Flow (PLF) Renewable Energy Sources (RES) Security Constrained multi-area multi-Objective Economic Dispatch (SCMAMODED) Stability

Regional Coordination for under Frequency Load Shedding

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Energy and Power Engineering 2010年第3期2卷 148-153页

作者： Mohamad Ahmad Anuar Hassan Bevrani Takashi Hiyama 不详

Frequency deviation can be used as an indicator of imbalance between supply and demand. When generation is insufficient, it can cause frequency decline in a power system operation. Implementing under frequency load shedding (UFLS) is one of the common methods to overcome this problem. This paper proposes a novel approach for adaptive load shedding. The concept is an extension of shared and targeted load shedding using reserve margin. The optimal system configuration is then selected from those candidates to fulfill operational objectives. Operational constraints related to system parameters, threshold frequency, total of load shed and control area including line capacity are considered. An example using four sub-areas connected to an external system shows that the proposed regional coordination as an adaptive UFLS is feasible.

关键词： Load Shedding multi-area Power Systems Load Frequency Control Emergency Control