CAJ | 학술논문

大规模风电接入对传统经济调度提出了新的挑战.建立了综合考虑火电机组运行成本、污染气体排放成本、风电运行成本、备用成本的多目标动态经济调度模型,并引入正、负旋转备用约束来应对风电波动性对调度带来的影响.采用层次分析法将多目标优化模型转化成单目标优化模型.提出一种改进差分进化算法对模型进行求解,算法中引入正交初始化技术和控制参数自适应调整策略以提高种群的全局寻优能力.以 IEEE30节点系统为例验证所提模型的合理性和算法的有效性.
대규모풍전접입대전통경제조도제출료신적도전.건립료종합고필화전궤조운행성본、오염기체배방성본、풍전운행성본、비용성본적다목표동태경제조도모형,병인입정、부선전비용약속래응대풍전파동성대조도대래적영향.채용층차분석법장다목표우화모형전화성단목표우화모형.제출일충개진차분진화산법대모형진행구해,산법중인입정교초시화기술화공제삼수자괄응조정책략이제고충군적전국심우능력.이 IEEE30절점계통위례험증소제모형적합이성화산법적유효성.
Academy of Space Technology, Beijing 100095, China;3. Tianjin Electric Power Maintenance Company, Tianjin 300250, China) Integrating large scale of wind power into power grid poses new challenges to the traditional economic dispatch (ED). A multi-objective dynamic economic dispatch model considering the operating cost of fossil fired units and wind farms, the discharging cost of pollution, and the cost of reserve is formulated. The up spinning reserve and the down spinning reserve constraints are included to deal with the influence of wind power’s waviness on ED. According to the analytic hierarchy process (AHP), the multi-objective objective optimization model is transformed to a single objective optimization model. An improved differential evolution (DE) algorithm is developed to find the solution of the model. The algorithm embeds the orthogonal initialization technology and the adaptive adjustment strategy of controlling parameters to improve the global optimization ability of population. Taking the IEEE 30-bus system for instance, the rationality of the model and the effectiveness of the algorithm are verified. This work is supported by National Natural Science Foundation of China (No. 51007022).