Method for optimizing photovoltaic power station capacity in water-optical complementary system

• Main Authors: WANG CUNPING, QIAN YENIU, ZHANG FANG, HUANG RENLE, ZHANG ZAICHI, LI YUN, ZHAO ERGANG, XU SHAOJUN, SUN JIAN, CHENG LIN, CHANG QIANKUN, WANG HAIYUN, JIA DONGQIANG
• Format: Patent
• Language: Chinese; English
• Published: 10.10.2017
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; 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

The invention provides a method for optimizing the photovoltaic power station capacity in a water-optical complementary system. The method establishes a photovoltaic power station capacity optimization model based on chance constrained programming aiming at the problem of optimizing the photovoltaic power station capacity in a water-optical complementary system. The photovoltaic power station capacity optimization model in the method is established through the chance constrained programming, the randomness of photovoltaic power station output and cost for calling a system reserve set due to the situation that the water-optical complementary system cannot meet a load requirement are considered, and a system net earning maximization value is used as a target function. The method for optimizing the photovoltaic power station capacity in the water-optical complementary system based on chance constrained programming makes full use of a hydropower station with a limited dispatching water quantity, the hydropower st