Wind power plant virtual inertia optimal distribution method based on improved particle swarm optimization

A wind power plant virtual inertia optimal distribution method based on an improved particle swarm algorithm comprises the following steps: firstly, solving a power grid critical inertia for maintaining dynamic and stable frequency according to a power grid frequency safety constraint index, and obt...

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Bibliographische Detailangaben
Hauptverfasser:	HUANG SENYAN, TIAN BINGJIE, ZHANG LIJUN, MA HENGYUAN, CHAI JUNJIE, DENG RUI, LUO YING
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:	A wind power plant virtual inertia optimal distribution method based on an improved particle swarm algorithm comprises the following steps: firstly, solving a power grid critical inertia for maintaining dynamic and stable frequency according to a power grid frequency safety constraint index, and obtaining a power grid inertia compensation target in combination with a power grid actual inertia; secondly, taking the minimum maximum frequency deviation of the system as an optimization target, taking a virtual inertia compensation target of the wind power plant as an optimization object, and taking a power grid inertia horizontal constraint, a fan virtual inertia supporting capability constraint and system frequency stability as constraint conditions, and establishing an optimization distribution model; and solving the model by adopting an improved particle swarm algorithm to obtain a virtual inertia optimal distribution scheme of each wind power plant. And finally, verifying the correctness and effectiveness of