CAJ | 학술논문

以实现微网经济效益最大化和提高系统供电可靠性为策略，提出了一种基于改进型最大—最小蚁群系统(MMAS)算法的微电源容量优化布址方法。首先，建立了考虑不同环境因素下风/光/储孤岛微电源容量优化布址的多目标模型，定义了 N -1故障可靠性指标，明确了能量过剩率、稳态可靠性指标以及各微电源的运行约束。其次，提出改进型 MMAS 算法，通过实现信息启发式因子和期望启发式因子的自适应调节，改善 MMAS 算法的收敛速度和精度。然后，设计了基于改进型 MMAS 的微电源容量优化布址流程，经过对评估时间内经济性和可靠性的综合评价，得到基于网络结构的微网最优容量和最优布址方案。最后，利用 MATLAB 编程实现了5节点孤岛系统的容量优化以及丹麦海岛中压微网系统的微电源布址，与相关案例的对比与分析验证了所述方法的可行性与正确性。
이실현미망경제효익최대화화제고계통공전가고성위책략，제출료일충기우개진형최대—최소의군계통(MMAS)산법적미전원용량우화포지방법。수선，건립료고필불동배경인소하풍/광/저고도미전원용량우화포지적다목표모형，정의료 N -1고장가고성지표，명학료능량과잉솔、은태가고성지표이급각미전원적운행약속。기차，제출개진형 MMAS 산법，통과실현신식계발식인자화기망계발식인자적자괄응조절，개선 MMAS 산법적수렴속도화정도。연후，설계료기우개진형 MMAS 적미전원용량우화포지류정，경과대평고시간내경제성화가고성적종합평개，득도기우망락결구적미망최우용량화최우포지방안。최후，이용 MATLAB 편정실현료5절점고도계통적용량우화이급단맥해도중압미망계통적미전원포지，여상관안례적대비여분석험증료소술방법적가행성여정학성。
An improved max-min ant system (MMAS) algorithm is presented for optimal siting and sizing of distributed generators (DGs) in a microgrid.The strategies of the optimization are to maximize the economic benefit and to guarantee stipulated reliability criteria.Firstly,a multi-objective model for configuration of the independent microgrid,which includes wind power,photovoltaic(PV)generation and energy storage devices in different environments,is developed.The rate of load power supply after a failure is defined.Meanwhile,the related factors,such as the energy excess rate,the steady rate of load power supply and DGs” constraints in the microgrid,are considered.Secondly,an improved MMAS algorithm is proposed to improve the rate and precision of convergence by adaptively adjusting the information heuristic factor and expectation heuristic factor.Then,the flow chart of optimally siting and sizing of DGs is designed.Through an evaluation of economy and reliability during a specified period of time,a comprehensive approach is obtained.Finally,the optimization is programmed in MATLAB to achieve the optimal sizing of a five-bus island system and the optimal siting of the medium voltage microgrid on an island of Denmark.The advancement and feasibility of the improved algorithm are validated through comparison of relevant cases.