基于多智能体技术的微电网潮流优化控制策略研究
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摘要
微电网最优潮流是微电网系统规划与运行的有效工具,实现微电网经济、安全运行的全面优化,广泛应用于微电网电压稳定性、安全经济调度、电力市场等方面。微电网最优潮流是一个多变量、多约束、高维数、离散与连续变量共存的混合的非线性优化问题。由于微电网中存在各种分布式电源,为微电网最优潮流的研究带来了机遇与挑战,对传统的电力系统最优潮流算法提出了更多的、新的要求。本文以微电网最优潮流为研究对象,提出了基于多智能体技术的微电网潮流优化控制策略研究。
本文首先阐述微电网最优潮流问题研究的目的以及研究现状,根据各种分布式电源的发电原理建立分布式电源的数学模型,比较各种潮流计算方法的优缺点,选择前推回代法对微电网的潮流计算进行推导,建立微电网最优潮流的数学模型。在研究了多种微电网最优潮流的优化算法的基础上,针对微电网结构的特殊性与复杂性,结合多智能体技术的模块设计思想与分层分布式控制系统理论为基础,提出了基于多智能体技术的微电网潮流优化的控制系统,实现微电网潮流优化分布的目标。本文设计一个类似于IEEE14节点的微电网,通过对该微电网春秋季与冬季典型日的发电成本最小的优化控制策略的研究与分析,验证了该方法的实时性、可靠性、智能性以及有效性。
最后,总结本文所作的研究工作,并对基于多智能体技术的微电网潮流优化的系统的研究发展前景进行了展望。
Optimal power flow of microgrid is the effective tool for planning and operation of microgrid electricity system to realize microgrid economy, safe operation of the comprehensive optimization.It is widely used in the aspects of microgrid voltage stability,security,economic dispatch, market economic operation, electricity market, etc.Microgrid optimal power flow is a multi-variable, multi-constrained,high dimen-sion, the coexistence of discrete and mixed continuous variable nonlin-ear optimization problem. Because there are a variety of distributed generations, the study of microgrid optimal power flow will bring opp-ortunities and challenges,and it would propose more new requirements to the traditional optimal power flow algorithms.This paper taken the microgrid optimal power flow as the research object,and proposed mic-rogrid flow control strategy in optimization operation based on multi-agent technology.
This paper firstly described the purpose and research status of mi-crogrid optimal power flow problem,according to the principle of dis-tributed generation established the mathematical model of distributed generation, compared the advantages and disadvantages of various tr-aditional power flow calculation methods,choosed the forward and b-ackward substitution method to derive microgrid flow calculation,and established the mathematical model of microgrid optimal power flow. In the study of various microgrid optimal power flow optimization al-gorithms,according to the particularity and complexity of microgrid s-tructure, with modular design thoughts and hierarchical and distribut-ed control system theory of multi-agent, put forward microgrid flow optimization control system based on multi-agent technology to reali-ze the goal of the optimal distribution of microgrid flow. This paper designed a microgrid similar to the IEEE 14 node, through the micro-grid typical spring and autumn and winter of minimum cost optimal power control strategy research and analysis, proved real-time,reliabi-lity, intelligent and effectiveness of this method.
Finally, this paper summarized the research work, and prospected the research and development prospects of microgrid flow optimization system based on multi-agent technology.
本文首先阐述微电网最优潮流问题研究的目的以及研究现状,根据各种分布式电源的发电原理建立分布式电源的数学模型,比较各种潮流计算方法的优缺点,选择前推回代法对微电网的潮流计算进行推导,建立微电网最优潮流的数学模型。在研究了多种微电网最优潮流的优化算法的基础上,针对微电网结构的特殊性与复杂性,结合多智能体技术的模块设计思想与分层分布式控制系统理论为基础,提出了基于多智能体技术的微电网潮流优化的控制系统,实现微电网潮流优化分布的目标。本文设计一个类似于IEEE14节点的微电网,通过对该微电网春秋季与冬季典型日的发电成本最小的优化控制策略的研究与分析,验证了该方法的实时性、可靠性、智能性以及有效性。
最后,总结本文所作的研究工作,并对基于多智能体技术的微电网潮流优化的系统的研究发展前景进行了展望。
Optimal power flow of microgrid is the effective tool for planning and operation of microgrid electricity system to realize microgrid economy, safe operation of the comprehensive optimization.It is widely used in the aspects of microgrid voltage stability,security,economic dispatch, market economic operation, electricity market, etc.Microgrid optimal power flow is a multi-variable, multi-constrained,high dimen-sion, the coexistence of discrete and mixed continuous variable nonlin-ear optimization problem. Because there are a variety of distributed generations, the study of microgrid optimal power flow will bring opp-ortunities and challenges,and it would propose more new requirements to the traditional optimal power flow algorithms.This paper taken the microgrid optimal power flow as the research object,and proposed mic-rogrid flow control strategy in optimization operation based on multi-agent technology.
This paper firstly described the purpose and research status of mi-crogrid optimal power flow problem,according to the principle of dis-tributed generation established the mathematical model of distributed generation, compared the advantages and disadvantages of various tr-aditional power flow calculation methods,choosed the forward and b-ackward substitution method to derive microgrid flow calculation,and established the mathematical model of microgrid optimal power flow. In the study of various microgrid optimal power flow optimization al-gorithms,according to the particularity and complexity of microgrid s-tructure, with modular design thoughts and hierarchical and distribut-ed control system theory of multi-agent, put forward microgrid flow optimization control system based on multi-agent technology to reali-ze the goal of the optimal distribution of microgrid flow. This paper designed a microgrid similar to the IEEE 14 node, through the micro-grid typical spring and autumn and winter of minimum cost optimal power control strategy research and analysis, proved real-time,reliabi-lity, intelligent and effectiveness of this method.
Finally, this paper summarized the research work, and prospected the research and development prospects of microgrid flow optimization system based on multi-agent technology.
引文
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[2]D.W.Well.Method for Econmic Secure Loading of a power System.Procee-dings of IEEE,1968, Vol.115, No.8.
[3]Sasson A M, Viloria F, Aboytes F.Optimal Load Flow Solution Using the Hessian Matrix.IEEE Trans.on Power Apparatus and Systems,1973,92(1): 31～41.
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[15]张文,刘玉田.自适应粒子群优化算法及其在无功优化中的应用[J].电网技 术,2006,30(8)：19～24.
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[17]Andres E Feijoo, Jose Cidras.Modeling of wind farm in the load flow analysis.IEEE Transactions on power system,2000,15(1):210～215.
[18]Wang Chenshan, Maliki GUINDO.Three-phase unbalanced radial distribution power flow analysis with wind farms considered[J]. Automation of electric power systems,2006,30(16):21-26.
[19]吴伟.风资源预测与风电场CIM模型研究[D].合肥：合肥工业大学,2008.
[20]廖华,许洪华,王环.双支路光伏最大功率跟踪的并网逆变器的研制[J].太阳能学报,2006.8(27)：1～6.
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[25]Shigenori Naka, Takamu Genji, Yoshikazu Fukuyama.Practical Equipment Models for Fast Distribution Power Flow Considering Interconnection of Distributed Generators.Power Engineering Society Summer Meeting,2001, IEEE.Vol.2, July 2001:1007～1012.
[26]沈海权,李庚银,周明.燃料电池和微型燃气轮机的动态模型综述[J].电网技术,2000,28(14)：79～83.
[27]J.Yao, D.Popovic.Stability of a MV Distribution Network with Electroni- cally Interfaced Distributed Generation, Power Engineering Society General Meet ing IEEE, June 2004:2162～2167.
[28]Wang C Nehrir M H,Gao H.Control of PEM fuel cell distributed generation systems.IEEE Transactions on Energy Conversion,2006,21(2):586～595.
[29]M.Y.E1-Sharkh, A.Rahman, M.S.Alam.Analysis of Active and Reactive Power Control of a Stand-Alone PEM Fuel Cell Power Plant, IEEE Transact- ions on Power Systems, Vol.19, No.4, November 2004:2022～2028.
[30]韩晓平.分布式能源设计若干问题探讨[J].工厂动力,2004(1)：6～16.
[31]沈海权,李庚银,周明.联网燃气轮机动态特性分析[J].电网技术.2004,28(16)：27～31.
[32]刘正谊,谈顺涛,曾祥君.分布式发电及其对电力系统分析的影响[J].华北电力技术,2004(10)：18～20.
[33]Jie Zeng, Buhan Zhang,Chengxiong Mao and Yunling Wang.Use of Battery Energy Storage to Improve the Power Quality and Stability of Wind Farms, International Conference on Power System Technology:1-6.
[34]胡文杰.高渗透率下微电网潮流计算及其运行的多目标优化[D].北京交通大学,2010.
[35]T. H.Chen, M.S.Chen, K.J.Hwang, PKotas, E.Chebli. Distribution System Power Flow Analysis-A Rigid Approach [J].IEEE Transactions on Power Delivery,1991,6(3):1146～1152.
[36]孙健.配电网络分析与重构拓扑优化应用研究[D].浙江大学,2004.
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