北京理工大学学报:社会科学版
北京理工大學學報:社會科學版
북경리공대학학보:사회과학판
Journal of Beijing Institute of Technology(Social Sciences Edition)
2012年
1期
9~14
,共null页
多目标优化 分时定价 工业用户 天然气
多目標優化 分時定價 工業用戶 天然氣
다목표우화 분시정개 공업용호 천연기
multi-objective optimizing; time-of-use pricing; industry user; natural gas
制定合理的天然气分时定价政策,能够优化资源配置,保证城市天然气管网稳定运行,从而缓解城市"气荒"现象,促进燃气产业健康发展。为此,在考虑用户响应行为的基础上,以最小化最大峰负荷和峰谷负荷差为目标,以燃气公司利益、用户利益,以及政府对天然气价格的限制为约束条件,建立了峰谷分时定价的多目标优化模型,运用遗传算法与Pareto排序相结合的方法对其进行求解。并且,将该模型应用于一个案例,将一天24小时划分为峰、平、谷三个时段,按照"量大价高"的原则实施分时定价政策。结果表明:在保证用户和燃气公司同时获益的情况下,存在最优的峰、平、谷价格,使得最大峰负荷和峰谷负荷差能有效降低,验证了多目标优化模型的有效性和可行性。
製定閤理的天然氣分時定價政策,能夠優化資源配置,保證城市天然氣管網穩定運行,從而緩解城市"氣荒"現象,促進燃氣產業健康髮展。為此,在攷慮用戶響應行為的基礎上,以最小化最大峰負荷和峰穀負荷差為目標,以燃氣公司利益、用戶利益,以及政府對天然氣價格的限製為約束條件,建立瞭峰穀分時定價的多目標優化模型,運用遺傳算法與Pareto排序相結閤的方法對其進行求解。併且,將該模型應用于一箇案例,將一天24小時劃分為峰、平、穀三箇時段,按照"量大價高"的原則實施分時定價政策。結果錶明:在保證用戶和燃氣公司同時穫益的情況下,存在最優的峰、平、穀價格,使得最大峰負荷和峰穀負荷差能有效降低,驗證瞭多目標優化模型的有效性和可行性。
제정합리적천연기분시정개정책,능구우화자원배치,보증성시천연기관망은정운행,종이완해성시"기황"현상,촉진연기산업건강발전。위차,재고필용호향응행위적기출상,이최소화최대봉부하화봉곡부하차위목표,이연기공사이익、용호이익,이급정부대천연기개격적한제위약속조건,건립료봉곡분시정개적다목표우화모형,운용유전산법여Pareto배서상결합적방법대기진행구해。병차,장해모형응용우일개안례,장일천24소시화분위봉、평、곡삼개시단,안조"량대개고"적원칙실시분시정개정책。결과표명:재보증용호화연기공사동시획익적정황하,존재최우적봉、평、곡개격,사득최대봉부하화봉곡부하차능유효강저,험증료다목표우화모형적유효성화가행성。
A reasonable time-of-use price policy for natural gas is conducive to the resource allocation, and could guarantee the stable operation of natural gas network, so that the "gas famine" can be relieved, which is helpful for the healthy development of gas industry. Therefore, on the basis of users' response behavior, this paper constructs the multi-objective time-of-use pricing model, with minimizing the maximum peak load as well as difference between peak load and valley load as the objective, price restrictions obtained from gas enterprise revenue, user revenue and government as the constraints. Integration of genetic algorithm and Pareto ranking is adopted to solve the model. Finally, in a case experiment, the study divides 24 hours in a day into three different times, i. e. flat, valley and peak, and assumes the rule of "large amount, high price". The computational results show the existence of an optimal price ratio for peak, flat and valley, respectively, from which both the gas company and customer can benefit at the same time, and that the difference of peak load and valley load can be reduced effectively, which verified the effectiveness and feasihility of the multi-objective model.